Commit

Dockerfile

@@ -0,0 +1,39 @@
+FROM python:3.10.15-bullseye
+
+RUN apt-get update && \
+    apt-get install -y \
+    # General dependencies
+    locales \
+    locales-all && \
+    # Clean local repository of package files since they won't be needed anymore.
+    # Make sure this line is called after all apt-get update/install commands have
+    # run.
+    apt-get clean && \
+    # Also delete the index files which we also don't need anymore.
+    rm -rf /var/lib/apt/lists/*
+
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+
+# Create and activate virtual environment
+RUN python -m venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+# Install dependencies
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+# Create non-root user and give write access to /opt/venv
+RUN groupadd -g 900 mesop && \
+    useradd -u 900 -s /bin/bash -g mesop mesop && \
+    chown -R mesop:mesop /opt/venv && chmod -R 777 /opt/venv
+
+USER mesop
+
+# Add app code here
+COPY . /srv/mesop-app
+WORKDIR /srv/mesop-app
+
+# Run Mesop through gunicorn. Should be available at localhost:8080
+CMD ["gunicorn", "--bind", "0.0.0.0:8080", "main:me"]

README.md

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+---
+title: Mesop Doc Bot
+emoji: 👓
+colorFrom: red
+colorTo: yellow
+sdk: docker
+pinned: false
+license: apache-2.0
+app_port: 8080
+---
+
+# Docbot
+
+Answers questions grounded based on docs
+
+## Setup
+
+From workspace root:
+
+```sh
+rm -rf ai/docbot/venv && \
+virtualenv --python python3 ai/docbot/venv && \
+source ai/docbot/venv/bin/activate && \
+pip install -r ai/docbot/requirements.txt
+```
+
+## How to use
+
+**Run app**:
+
+```sh
+mesop chat.py
+```
+
+**Create index**:
+
+```sh
+python docs_index.py --build-index
+```
+
+**Load (or create, if it doesn't exist yet) index**:
+
+```sh
+python docs_index.py
+```
+
+## Evals
+
+**Record eval results**
+
+```py
+$ python recorder.py --out-dir gen/evals/one_source
+```
+
+**View eval results**
+
+```py
+$ EVAL_DIR=gen/evals/no_source_1 EVAL_DIR_2=gen/evals/one_source mesop eval_viewer.py
+```
+
+## Roadmap
+
+TODOs:
+
+- Respect dark themes into frame
+- Auto-focus into prompt (via post message) _DONE_
+- Support ESC to close iframe _DONE_
+- Do evals against suggested questions _DONE_
+- Prompt engineer
+  - Do not show code _skip_
+  - File new issue if asking for feature that doesn't exist _skip_
+
+MAYBE:
+
+- Ask Mesop to consolidate sources from the same page
+
+### UX
+
+- Scroll to specific part of text? DONE
+- Show code (syntax highlighting)
+- Don't show sources which are not cited? done
+- Renumber?? done
+- File GitHub issue if the response isn't good DONE
+
+### APIs
+
+- Use Google embedding API? done
+
+### Indexing
+
+- Index GitHub issues / discussions?
+  - https://docs.llamaindex.ai/en/stable/examples/usecases/github_issue_analysis/
+- DONE filter out blog posts? (the --- mark settings)
+- DONE filter out internal docs, e.g. bazel commands
+- DONE set title for all pages OR retrieve title by using mkdocs.yml??
+- Maybe load in the code snippets? Depends on whether that's a goal.
+
+### Docs TODOs:
+
+- Why doesn't mesop have this new feature? attribute is missing

citation.js

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+import {
+  LitElement,
+  html,
+  css,
+} from 'https://cdn.jsdelivr.net/gh/lit/dist@3/core/lit-core.min.js';
+
+class CitationComponent extends LitElement {
+  static styles = css`
+    a {
+      display: block;
+      text-decoration: none;
+      color: var(--sys-on-surface);
+    }
+
+    .container {
+      background: var(--sys-surface-container-high);
+      border-radius: 12px;
+    }
+
+    .container:hover {
+      background: var(--sys-surface-container-highest);
+    }
+  `;
+
+  static properties = {
+    url: {type: String},
+  };
+
+  constructor() {
+    super();
+    this.url = '';
+  }
+
+  render() {
+    return html`
+      <a class="container" href="${this.url}" target="_blank">
+        <slot></slot>
+      </a>
+    `;
+  }
+
+  _onClick() {
+    window.open(this.url, '_blank');
+    console.log('open url', this.url);
+  }
+}
+
+customElements.define('citation-component', CitationComponent);

deploy_to_hf.sh

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+#!/bin/bash
+
+set -e
+
+error_handler() {
+    echo "Error: An error occurred. Exiting script."
+    exit 1
+}
+
+# Set up error handling
+trap error_handler ERR
+
+if [ $# -eq 0 ]; then
+    echo "Error: Please provide a destination path as an argument."
+    exit 1
+fi
+
+DEST_PATH="$1"
+
+if [ ! -d "$DEST_PATH" ]; then
+    echo "Destination path does not exist. Creating it now."
+    mkdir -p "$DEST_PATH"
+fi
+
+# Build the docs index
+cd ai/docbot && python docs_index.py --build-index && cd -
+
+# Get the path of this script which is the demo dir.
+DEMO_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
+cp -R "$DEMO_DIR/" "$DEST_PATH"
+echo "Demo files have been copied to $DEST_PATH"
+cd "$DEST_PATH/docbot"
+echo "Changed directory to $DEST_PATH"
+
+git init
+git branch -m main
+git config user.name github-actions[bot]
+git config user.email github-actions[bot]@users.noreply.github.com
+echo "Configured git user"
+git add .
+git commit -m "Commit"
+git remote add hf https://wwwillchen:$HF_TOKEN@huggingface.co/spaces/wwwillchen/mesop-docs-bot || true
+git push --force --set-upstream hf main
+
+echo "Pushed to: https://huggingface.co/spaces/wwwillchen/mesop-docs-bot. Check the logs to see that it's deployed correctly."

docs_index.py

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+import os
+import sys
+
+import nest_asyncio
+import Stemmer
+from llama_index.core import (
+  PromptTemplate,
+  Settings,
+  SimpleDirectoryReader,
+  StorageContext,
+  VectorStoreIndex,
+  load_index_from_storage,
+)
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core.query_engine import CitationQueryEngine
+from llama_index.core.retrievers import QueryFusionRetriever
+from llama_index.core.schema import NodeWithScore as NodeWithScore
+from llama_index.embeddings.google import GeminiEmbedding
+from llama_index.llms.gemini import Gemini
+from llama_index.retrievers.bm25 import BM25Retriever
+
+import mesop as me
+
+nest_asyncio.apply()
+
+CITATION_QA_TEMPLATE = PromptTemplate(
+  "Please provide an answer based solely on the provided sources. "
+  "When referencing information from a source, "
+  "cite the appropriate source(s) using their corresponding numbers. "
+  "Every answer should include at least one source citation. "
+  "Only cite a source when you are explicitly referencing it. "
+  "If you are sure NONE of the sources are helpful, then say: 'Sorry, I didn't find any docs about this.'"
+  "If you are not sure if any of the sources are helpful, then say: 'You might find this helpful', where 'this' is the source's title.'"
+  "DO NOT say Source 1, Source 2, etc. Only reference sources like this: [1], [2], etc."
+  "I want you to pick just ONE source to answer the question."
+  "For example:\n"
+  "Source 1:\n"
+  "The sky is red in the evening and blue in the morning.\n"
+  "Source 2:\n"
+  "Water is wet when the sky is red.\n"
+  "Query: When is water wet?\n"
+  "Answer: Water will be wet when the sky is red [2], "
+  "which occurs in the evening [1].\n"
+  "Now it's your turn. Below are several numbered sources of information:"
+  "\n------\n"
+  "{context_str}"
+  "\n------\n"
+  "Query: {query_str}\n"
+  "Answer: "
+)
+
+os.environ["GOOGLE_API_KEY"] = os.environ["GEMINI_API_KEY"]
+
+
+def get_meta(file_path: str) -> dict[str, str]:
+  with open(file_path) as f:
+    title = f.readline().strip()
+    if title.startswith("# "):
+      title = title[2:]
+    else:
+      title = (
+        file_path.split("/")[-1]
+        .replace(".md", "")
+        .replace("-", " ")
+        .capitalize()
+      )
+
+  file_path = file_path.replace(".md", "")
+  CONST = "../../docs/"
+  docs_index = file_path.index(CONST)
+  docs_path = file_path[docs_index + len(CONST) :]
+
+  url = "https://mesop-dev.github.io/mesop/" + docs_path
+
+  print(f"URL: {url}")
+  return {
+    "url": url,
+    "title": title,
+  }
+
+
+embed_model = GeminiEmbedding(
+  model_name="models/text-embedding-004", api_key=os.environ["GOOGLE_API_KEY"]
+)
+Settings.embed_model = embed_model
+
+PERSIST_DIR = "./gen"
+
+
+def build_or_load_index():
+  if not os.path.exists(PERSIST_DIR) or "--build-index" in sys.argv:
+    print("Building index")
+
+    documents = SimpleDirectoryReader(
+      "../../docs/",
+      required_exts=[
+        ".md",
+      ],
+      exclude=[
+        "showcase.md",
+        "demo.md",
+        "blog",
+        "internal",
+      ],
+      file_metadata=get_meta,
+      recursive=True,
+    ).load_data()
+    for doc in documents:
+      doc.excluded_llm_metadata_keys = ["url"]
+    splitter = SentenceSplitter(chunk_size=512)
+
+    nodes = splitter.get_nodes_from_documents(documents)
+    bm25_retriever = BM25Retriever.from_defaults(
+      nodes=nodes,
+      similarity_top_k=5,
+      # Optional: We can pass in the stemmer and set the language for stopwords
+      # This is important for removing stopwords and stemming the query + text
+      # The default is english for both
+      stemmer=Stemmer.Stemmer("english"),
+      language="english",
+    )
+    bm25_retriever.persist(PERSIST_DIR + "/bm25_retriever")
+
+    index = VectorStoreIndex.from_documents(documents, embed_model=embed_model)
+    index.storage_context.persist(persist_dir=PERSIST_DIR)
+    return index, bm25_retriever
+  else:
+    print("Loading index")
+    bm25_retriever = BM25Retriever.from_persist_dir(
+      PERSIST_DIR + "/bm25_retriever"
+    )
+    storage_context = StorageContext.from_defaults(persist_dir=PERSIST_DIR)
+    index = load_index_from_storage(storage_context)
+    return index, bm25_retriever
+
+
+if me.runtime().is_hot_reload_in_progress:
+  print("Hot reload - skip building index!")
+  query_engine = me._query_engine
+  bm25_retriever = me._bm25_retriever
+
+else:
+  index, bm25_retriever = build_or_load_index()
+  llm = Gemini(model="models/gemini-1.5-flash-latest")
+  retriever = QueryFusionRetriever(
+    [
+      index.as_retriever(similarity_top_k=5),
+      bm25_retriever,
+    ],
+    llm=llm,
+    num_queries=1,
+    use_async=True,
+    similarity_top_k=5,
+  )
+  query_engine = CitationQueryEngine.from_args(
+    index,
+    retriever=retriever,
+    llm=llm,
+    citation_qa_template=CITATION_QA_TEMPLATE,
+    similarity_top_k=5,
+    embedding_model=embed_model,
+    streaming=True,
+  )
+
+  blocking_query_engine = CitationQueryEngine.from_args(
+    index,
+    retriever=retriever,
+    llm=llm,
+    citation_qa_template=CITATION_QA_TEMPLATE,
+    similarity_top_k=5,
+    embedding_model=embed_model,
+    streaming=False,
+  )
+  # TODO: replace with proper mechanism for persisting objects
+  # across hot reloads
+  me._query_engine = query_engine
+  me._bm25_retriever = bm25_retriever
+
+
+NEWLINE = "\n"
+
+
+def ask(query: str):
+  return query_engine.query(query)
+
+
+def retrieve(query: str):
+  return bm25_retriever.retrieve(query)

eval_viewer.py

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+import itertools
+import os
+import sys
+import urllib.parse
+from dataclasses import dataclass, field
+
+import mesop as me
+
+# Get the directory from the environment variable
+EVAL_DIR = os.environ.get("EVAL_DIR")
+
+if EVAL_DIR:
+  print(f"Directory set to: {EVAL_DIR}")
+else:
+  print(
+    "No directory specified. Exiting! Set the EVAL_DIR environment variable."
+  )
+  sys.exit(1)
+
+EVAL_DIR_2 = os.environ.get("EVAL_DIR_2")
+
+if EVAL_DIR_2:
+  print(f"Eval directory 2 set to: {EVAL_DIR_2}")
+
+
+@dataclass
+class Item:
+  query: str = ""
+  input: str = ""
+  output: str = ""
+
+
+@dataclass
+class EvalGroup:
+  items: list[Item] = field(default_factory=list)
+
+
+@me.stateclass
+class State:
+  directories: list[str]
+  group_1: EvalGroup
+  group_2: EvalGroup
+
+
+def load_eval_dir(eval_dir: str):
+  # Read all directories from args.dir
+  directories = [
+    d for d in os.listdir(eval_dir) if os.path.isdir(os.path.join(eval_dir, d))
+  ]
+  items: list[Item] = []
+  for dir in directories:
+    input_path = os.path.join(eval_dir, dir, "input.txt")
+    output_path = os.path.join(eval_dir, dir, "output.txt")
+
+    with open(input_path) as f:
+      input_content = f.read()
+    with open(output_path) as f:
+      output_content = f.read()
+
+    item = Item(
+      input=input_content,
+      output=output_content,
+      query=urllib.parse.unquote(dir),
+    )
+    items.append(item)
+  return items
+
+
+def on_load(e: me.LoadEvent):
+  state = me.state(State)
+  assert EVAL_DIR
+  state.group_1.items = load_eval_dir(EVAL_DIR)
+  if EVAL_DIR_2:
+    state.group_2.items = load_eval_dir(EVAL_DIR_2)
+    print("state.group_2.items", state.group_2.items)
+
+  # Store the directories in the state for later use
+  # me.state(State).directories = directories
+
+
+@me.page(
+  on_load=on_load,
+  security_policy=me.SecurityPolicy(
+    allowed_script_srcs=[
+      "https://cdn.jsdelivr.net",
+    ]
+  ),
+)
+def index():
+  state = me.state(State)
+  with scrollable():
+    with me.box(
+      style=me.Style(
+        margin=me.Margin.symmetric(horizontal="auto", vertical=24),
+        # background="white",
+        padding=me.Padding.symmetric(horizontal=16),
+      )
+    ):
+      me.text("Eval viewer", type="headline-3")
+      me.text(f"Group 1: {len(state.group_1.items)} items")
+      me.text(f"Group 2: {len(state.group_2.items)} items")
+
+      # Zip group_1 and group_2 items
+      zipped_items = list(
+        itertools.zip_longest(
+          state.group_1.items, state.group_2.items, fillvalue=None
+        )
+      )
+      with me.box(
+        style=me.Style(
+          display="grid",
+          grid_template_columns="160px 300px 1fr 300px 1fr"
+          if state.group_2.items
+          else "160px 1fr 1fr",
+          gap=16,
+        )
+      ):
+        # Header
+        me.text("Query", style=me.Style(font_weight=500))
+        me.text("Input (1)", style=me.Style(font_weight=500))
+        me.text("Output (1)", style=me.Style(font_weight=500))
+        if state.group_2.items:
+          me.text("Input (2)", style=me.Style(font_weight=500))
+          me.text("Output (2)", style=me.Style(font_weight=500))
+        # Body
+        for item_1, item_2 in zipped_items:
+          if item_1:
+            me.text(item_1.query, style=me.Style(font_weight=500))
+            me.markdown(
+              item_1.input, style=me.Style(overflow_y="auto", max_height=400)
+            )
+            me.text(item_1.output)
+
+          if item_2:
+            me.markdown(
+              item_2.input, style=me.Style(overflow_y="auto", max_height=400)
+            )
+            me.text(item_2.output)
+
+
+@me.web_component(path="./scrollable.js")
+def scrollable(
+  *,
+  key: str | None = None,
+):
+  return me.insert_web_component(
+    name="scrollable-component",
+    key=key,
+  )

frame_listener.js

@@ -0,0 +1,24 @@
+// Listen for 'focus' message from the parent window
+window.addEventListener('message', function (event) {
+  if (event.data === 'focus') {
+    // Find the textarea element
+    const textarea = document.querySelector('textarea');
+    console.log('focusing on textarea', textarea);
+    // If the textarea is found, focus on it
+    if (textarea) {
+      textarea.focus();
+    } else {
+      console.warn('Textarea not found for focus');
+    }
+  }
+});
+
+window.addEventListener('keydown', function (event) {
+  if (event.key === 'Escape') {
+    if (document.activeElement) {
+      document.activeElement.blur();
+    }
+    // Send a message to the parent window to close this iframe
+    window.parent.postMessage('closeDocbot', '*');
+  }
+});

gen/bm25_retriever/corpus.mmindex.json

@@ -0,0 +1 @@
+[0, 1458, 2833, 4188, 5580, 6906, 8205, 9686, 11068, 12431, 13999, 15367, 16714, 17934, 19236, 20471, 22878, 24507, 26058, 28184, 30194, 33572, 36486, 37986, 39471, 40953, 42418, 44129, 45501, 47145, 49547, 51007, 52511, 53918, 55147, 56513, 58168, 59391, 60763, 61986, 63491, 64931, 66272, 67592, 68983, 70494, 71773, 73205, 75030, 76466, 78193, 79728, 81072, 82405, 83765, 85089, 86360, 87904, 89493, 90790, 92225, 93495, 94943, 96208, 98195, 100123, 101478, 103087, 104820, 109305, 111356, 112862, 115903, 117447, 118857, 120339, 121974, 124629, 128528, 132678, 136830, 140845, 145010, 147939, 149579, 150998, 152601, 154162, 157732, 160709, 164405, 168452, 171456, 173002, 174698, 176102, 177700, 179266, 183009, 187447, 191693, 194930, 197577, 199662, 202702, 204485, 205874, 207795, 209224, 210580, 211936, 213219, 214798, 216458, 218254, 219876, 221339, 222970, 224320, 225870, 227821, 229342, 231291, 233012, 235229, 237027, 239108, 240813, 242731, 244218, 246048, 247391, 248687, 249964, 251756, 253101, 254767, 256144, 257440, 258717, 260049, 261331, 262590, 263897, 265200, 266569, 267932, 269284, 270779, 272070, 273359, 274811, 276142, 277431, 278688, 280050, 281367, 282865, 284201, 285495, 286763, 288192, 289530, 290927, 292399, 293779, 295251, 296608, 297918, 299213, 300525, 301821, 303098, 304677, 306043, 307545, 309145, 310439, 311707, 313035, 314324, 315592, 316882, 318178, 319455, 320873, 322137, 323896, 325472, 327040, 329500, 330777, 332889, 335583, 337009, 338864, 341406, 342792, 344088, 345497, 346809, 348098, 349366, 350669, 351991, 353295, 354605, 355894, 357162, 358567, 359912, 361331, 362768, 364141, 365517, 366848, 368144, 369527, 370887, 372195, 373657, 375020, 376330, 377625, 379022, 380367, 381850, 383211, 384514, 385861, 387199, 388495, 389772, 391182, 392534, 393863, 395272, 396617, 397938, 399256, 400545, 401813, 403263, 404580, 406010, 407325, 408635, 409930, 411331, 412648, 414118, 415461, 416757, 418034, 419314, 420574, 422324, 423704, 425449, 426971, 428437, 429701, 431332, 432708, 434728, 436555, 438180, 439927, 441576, 443836, 445345, 446882, 448421, 449967, 452054, 453563, 454949, 456283, 457659, 459163, 460849, 462379, 463786, 465834, 467947, 469764, 471861, 473294, 475333, 476836, 478870, 480275, 481840, 483377, 486042, 488523, 490187, 491579, 493030, 494490, 495849, 497252, 499048, 500568, 502253, 503617, 505163, 506785, 508299, 509662, 510980, 512335, 513734, 515400, 516828, 518168, 519542, 520984, 522384, 523935, 525573, 526965, 528384, 530111, 531591, 533097, 534572, 537144, 538439, 540054, 542155, 544274, 545554, 548152, 550320, 551607, 554286, 555665, 557146, 559497, 560990, 562459, 563740, 565958, 567827, 569597, 571582, 572929, 574235, 575680, 577308, 578753, 579999, 581447, 582947, 584552, 586421, 587655, 589282, 591392, 593294, 595517, 597121, 598495, 600022, 601696, 603101, 604571, 605869, 607674, 609438, 611100, 612509, 614647, 616257, 617684, 619240, 620699, 622393, 625926, 627789, 629917, 631614, 633943, 635230, 636648, 638092, 639677, 641159, 643050, 644626, 646235, 647586, 649252, 650926, 653767, 655261, 656883, 658702, 660913, 662585, 664344, 665783, 667138, 668600, 670422, 672214, 674040, 675806, 677247, 678519, 680164, 681980, 683713, 685343, 686710, 689556, 693534, 697621, 701926, 705721, 708608, 711985, 713251, 715052, 716472, 718042, 719782, 721293, 722645, 724372, 727346, 729173, 731094, 733072, 734530, 736293, 737638, 739015, 740879, 742384, 744745, 747055, 749370, 750721]

gen/bm25_retriever/params.index.json

@@ -0,0 +1,11 @@
+{
+    "k1": 1.5,
+    "b": 0.75,
+    "delta": 0.5,
+    "method": "lucene",
+    "idf_method": "lucene",
+    "dtype": "float32",
+    "int_dtype": "int32",
+    "num_docs": 445,
+    "version": "0.1.10"
+}

gen/bm25_retriever/retriever.json

@@ -0,0 +1,4 @@
+{
+  "similarity_top_k": 5,
+  "verbose": false
+}

gen/bm25_retriever/vocab.index.json

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"alreadi": 1379, "docker": 1380, "through": 1381, "storag": 1382, "includ": 1383, "interact": 1384, "like": 1385, "incom": 1386, "900": 1387, "traffic": 1388, "e7f2ff": 1389, "status": 1390, "hidden": 1391, "key": 1392, "anchor": 1393, "dialog_act": 1394, "480": 1395, "navigate_hom": 1396, "grant": 1397, "second": 1398, "resolv": 1399, "extens": 1400, "version": 1401, "problem": 1402, "compromis": 1403, "symbol": 1404, "expect": 1405, "dkvt0rboqumapk5d": 1406, "0003": 1407, "blue": 1408, "2rem": 1409, "models_px": 1410, "variabl": 1411, "stringent": 1412, "place": 1413, "licens": 1414, "low": 1415, "clipboard": 1416, "hit": 1417, "devtool": 1418, "black": 1419, "sh": 1420, "fruit": 1421, "cli": 1422, "mesop_static_url_path": 1423, "decor": 1424, "date_pick": 1425, "platform": 1426, "setattr": 1427, "permiss": 1428, "summari": 1429, "give": 1430, "similar": 1431, "your": 1432, "init": 1433, "zi1dngoryho": 1434, "expiresat": 1435, "spinner": 1436, "memori": 1437, "object": 1438, "achiev": 1439, "ubuntu22": 1440, "either": 1441, "html_demo": 1442, "checkbox": 1443, "autocompleteenterev": 1444, "back": 1445, "player": 1446, "overflow_i": 1447, "opendemogalleryinnewtab": 1448, "instanc": 1449, "hide": 1450, "regular": 1451, "clariti": 1452, "jupyt": 1453, "calc": 1454, "cmd": 1455, "component_": 1456, "side": 1457, "len": 1458, "trust": 1459, "which": 1460, "absenc": 1461, "autocomplet": 1462, "dictionari": 1463, "reli": 1464, "matplotlib": 1465, "privacypolicyurl": 1466, "content__inn": 1467, "bi": 1468, "particular": 1469, "top_k": 1470, "avail": 1471, "annot": 1472, "alic": 1473, "troubleshoot": 1474, "largebinari": 1475, "migrat": 1476, "increas": 1477, "path": 1478, "respond": 1479, "script": 1480, "have": 1481, "robust": 1482, "term": 1483, "understand": 1484, "mutat": 1485, "dataclass": 1486, "dump": 1487, "identitytoolkit": 1488, "multi": 1489, "anatomi": 1490, "oftentim": 1491, "split": 1492, "input": 1493, "3d3929": 1494, "plenti": 1495, "control": 1496, "return": 1497, "value2": 1498, "runtime_vers": 1499, "ensur": 1500, "straightforward": 1501, "pip": 1502, "enhanc": 1503, "csp": 1504, "time": 1505, "ffffff": 1506, "approach": 1507, "trustedscripturl": 1508, "clone": 1509, "elem": 1510, "component_help": 1511, "send_prompt_pro": 1512, "typeset": 1513, "run": 1514, "substr": 1515, "disk": 1516, "mesop_web_components_http_cache_key": 1517, "progress_bar": 1518, "sorri": 1519, "action": 1520, "disclaim": 1521, "complex": 1522, "microphon": 1523, "cancel": 1524, "state": 1525, "screenshot": 1526, "background": 1527, "uncom": 1528, "comprehens": 1529, "default": 1530, "troubl": 1531, "browser": 1532, "last": 1533, "read": 1534, "mutableclass": 1535, "choic": 1536, "standalon": 1537, "ttls": 1538, "research": 1539, "abl": 1540, "refer": 1541, "1028": 1542, "hashtag": 1543, "old": 1544, "text": 1545, "domain": 1546, "usual": 1547, "uri": 1548, "traceback": 1549, "footer": 1550, "daterangepickerchangeev": 1551, "hint": 1552, "order": 1553, "query_param": 1554, "repo": 1555, "datapick": 1556, "invalid": 1557, "pictur": 1558, "ipython": 1559, "click_navigate_button": 1560, "may": 1561, "proto": 1562, "new_param": 1563, "color": 1564, "root_box_styl": 1565, "dockerfil": 1566, "__native__": 1567, "empti": 1568, "prefer": 1569, "face": 1570, "receiv": 1571, "mesop_http_cache_js_bundl": 1572, "support": 1573, "hello": 1574, "si": 1575, "higher": 1576, "in": 1577, "direct": 1578, "front": 1579, "restart": 1580, "ad": 1581, "vast": 1582, "python": 1583, "firebaseconfig": 1584, "24": 1585, "text_to_imag": 1586, "loadev": 1587, "multipl": 1588, "compos": 1589, "del": 1590, "nonc": 1591, "could": 1592, "serv": 1593, "hate": 1594, "abstract": 1595, "exist": 1596, "liner": 1597, "50": 1598, "toler": 1599, "part": 1600, "unifi": 1601, "tree": 1602, "materi": 1603, "quota": 1604, "untrust": 1605, "packag": 1606, "margin": 1607, "match": 1608, "ico": 1609, "pic": 1610, "initi": 1611, "nativ": 1612, "execut": 1613, "danger": 1614, "shadow": 1615, "ide": 1616, "suit": 1617, "nestedst": 1618, "properti": 1619, "messag": 1620, "css2": 1621, "autocompleteselectionchangeev": 1622, "credenti": 1623, "mesopdeveloperexcept": 1624, "expansionpaneltoggleev": 1625, "mechan": 1626, "sent": 1627, "inspir": 1628, "callabl": 1629, "315": 1630, "remot": 1631, "blur": 1632, "principl": 1633, "modifi": 1634, "filenam": 1635, "workspacefold": 1636, "commit": 1637, "amongst": 1638, "queri": 1639, "repeated_param": 1640, "8192": 1641, "generativemodel": 1642, "cursor": 1643, "creat": 1644, "belief": 1645, "sometim": 1646, "moder": 1647, "linux": 1648, "origin": 1649, "bin": 1650, "granular": 1651, "put": 1652, "anyth": 1653, "dive": 1654, "intuit": 1655, "latest": 1656, "themevar": 1657, "retriev": 1658, "youtub": 1659, "headlin": 1660, "subdomain": 1661, "minimalist": 1662, "www": 1663, "requir": 1664, "explicit": 1665, "ambigu": 1666, "name": 1667, "counter_component_app": 1668, "hot": 1669, "authent": 1670, "applic": 1671, "updat": 1672, "entir": 1673, "binari": 1674, "variat": 1675, "appli": 1676, "divid": 1677, "fastapi": 1678, "crux": 1679, "7anchay": 1680, "bring": 1681, "model_nam": 1682, "befor": 1683, "mesop_prod_unredacted_error": 1684, "specifi": 1685, "free": 1686, "risk": 1687, "js": 1688, "20240229": 1689, "idiomat": 1690, "visual": 1691, "powershel": 1692, "compatibilti": 1693, "keep": 1694, "critic": 1695, "few": 1696, "_or_": 1697, "_ondecr": 1698, "bottom": 1699, "prototyp": 1700, "clickev": 1701, "wrap": 1702, "me": 1703, "slide_toggl": 1704, "flash": 1705, "asset": 1706, "mesop_state_session_backend_firestore_collect": 1707, "scroll_into_view": 1708, "demonstr": 1709, "fluid": 1710, "type": 1711, "firebaseui": 1712, "async_await": 1713, "plot": 1714, "sanchay": 1715, "congress": 1716, "is_model_picker_dialog_open": 1717, "secur": 1718, "token": 1719, "__user": 1720, "requisit": 1721, "deploy": 1722, "sonnet": 1723, "subtl": 1724, "team": 1725, "spin": 1726, "fit": 1727, "asyncio": 1728, "show_menu_button": 1729, "sequenti": 1730, "set_page_titl": 1731, "jumpstart": 1732, "xhr": 1733, "vertic": 1734, "block": 1735, "core": 1736, "known": 1737, "util": 1738, "reduc": 1739, "futur": 1740, "list": 1741, "three": 1742, "auto": 1743, "goto": 1744, "among": 1745, "densiti": 1746, "viewabl": 1747, "wire": 1748, "num": 1749, "isol": 1750, "couldn": 1751, "cross": 1752, "srcdoc": 1753, "setup": 1754, "colorto": 1755, "content": 1756, "defens": 1757, "symmetr": 1758, "depend": 1759, "effici": 1760, "level": 1761, "databas": 1762, "inspect": 1763, "pointer": 1764, "histori": 1765, "250px": 1766, "import": 1767, "bash": 1768, "although": 1769, "sidebar": 1770, "current_input_valu": 1771, "align_item": 1772, "dispatchev": 1773, "step": 1774, "thing": 1775, "third": 1776, "differ": 1777, "vscode": 1778, "hood": 1779, "string": 1780, "unit": 1781, "confirm_model_picker_dialog": 1782, "sign": 1783, "veri": 1784, "quickstart": 1785, "none": 1786, "output": 1787, "font_famili": 1788, "communiti": 1789, "paradigm": 1790, "dens": 1791, "srv": 1792, "ll": 1793, "progress_spinn": 1794, "on_blur": 1795, "highlight": 1796, "2fr": 1797, "39": 1798, "milk": 1799, "plumb": 1800, "search": 1801, "were": 1802, "focus_compon": 1803, "initial_input_valu": 1804, "do": 1805, "role": 1806, "walk": 1807, "els": 1808, "apach": 1809, "made": 1810, "notic": 1811, "32px": 1812, "offer": 1813, "send_messag": 1814, "pattern": 1815, "center": 1816, "store": 1817, "space": 1818, "warn": 1819, "over": 1820, "xlr8harder": 1821, "copi": 1822, "min": 1823, "wildcard": 1824, "text_stream": 1825, "look": 1826, "associ": 1827, "instruct": 1828, "page": 1829, "rememb": 1830, "dedic": 1831, "right": 1832, "desktop": 1833, "still": 1834, "straight": 1835, "select_menu_key": 1836, "earlier": 1837, "radiochangeev": 1838, "autosc": 1839}

gen/graph_store.json

@@ -0,0 +1 @@
+{"graph_dict": {}}

gen/image__vector_store.json

@@ -0,0 +1 @@
+{"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}

gen/index_store.json

@@ -0,0 +1 @@
+{"index_store/data": {"509dd5c5-1d17-4e38-b49b-b25126632116": {"__type__": "vector_store", "__data__": "{\"index_id\": \"509dd5c5-1d17-4e38-b49b-b25126632116\", \"summary\": null, \"nodes_dict\": {\"d1b999c3-825e-4433-a8b6-82fa5f1e006b\": \"d1b999c3-825e-4433-a8b6-82fa5f1e006b\", \"31979cc6-9f2d-4bfc-8067-9f7ee99cb072\": \"31979cc6-9f2d-4bfc-8067-9f7ee99cb072\", \"9234f842-c4b8-4ac0-a8e2-d5e6eaedb241\": \"9234f842-c4b8-4ac0-a8e2-d5e6eaedb241\", \"fcbc438c-6904-4c05-a1d2-594ea40e3afb\": \"fcbc438c-6904-4c05-a1d2-594ea40e3afb\", \"e7a5048d-191f-4c77-91f8-bcaa4699d4e2\": \"e7a5048d-191f-4c77-91f8-bcaa4699d4e2\", \"66493ed8-5a28-4d45-a106-d7ee8f67b301\": \"66493ed8-5a28-4d45-a106-d7ee8f67b301\", \"98fe9479-478b-47ce-b7a5-6fd5307564c5\": \"98fe9479-478b-47ce-b7a5-6fd5307564c5\", \"5a98b526-a854-4ccb-b6a5-95a0529882a2\": \"5a98b526-a854-4ccb-b6a5-95a0529882a2\", \"d6a81690-7629-4d93-85bc-9581320d43a8\": \"d6a81690-7629-4d93-85bc-9581320d43a8\", \"c5fbcdf3-320a-42e4-8d24-23a3f9e884f8\": 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\"06c18ca3-6491-4b78-ac15-cea16b76611d\", \"9971754e-6862-4cbf-92b5-bfef34cf46e8\": \"9971754e-6862-4cbf-92b5-bfef34cf46e8\", \"a519fe7a-bde9-4d4d-bd85-5d17f9637bce\": \"a519fe7a-bde9-4d4d-bd85-5d17f9637bce\", \"a3485073-ff00-45e1-9d92-73763e46b0aa\": \"a3485073-ff00-45e1-9d92-73763e46b0aa\", \"ae1a77e8-b747-438b-b2d6-2056602033f6\": \"ae1a77e8-b747-438b-b2d6-2056602033f6\", \"0ae941a2-8d88-4a97-a534-10e503d93a3a\": \"0ae941a2-8d88-4a97-a534-10e503d93a3a\", \"57d120e4-4500-42e6-8670-2174ee9aae6e\": \"57d120e4-4500-42e6-8670-2174ee9aae6e\"}, \"doc_id_dict\": {}, \"embeddings_dict\": {}}"}}}

main.py

@@ -0,0 +1,643 @@
+import random
+import re
+import time
+import urllib.parse
+from dataclasses import dataclass, field
+from typing import Generator, Literal
+
+from docs_index import NodeWithScore, ask, retrieve
+
+import mesop as me
+
+
+def on_load(e: me.LoadEvent):
+  state = me.state(State)
+  state.examples = random.sample(EXAMPLES, 3)
+  if "prompt" in me.query_params:
+    state.initial_input = me.query_params["prompt"]
+  me.set_theme_mode("system")
+  yield
+  me.focus_component(key=f"input-{len(state.output)}")
+  yield
+
+
+@me.page(
+  on_load=on_load,
+  security_policy=me.SecurityPolicy(
+    allowed_script_srcs=[
+      "https://cdn.jsdelivr.net",
+    ],
+    allowed_iframe_parents=[
+      "https://huggingface.co",
+      "https://mesop-dev.github.io",
+      "http://localhost:*",
+    ],
+  ),
+  title="Mesop Docs Chat",
+)
+def page():
+  frame_listener()
+  return chat()
+
+
+Role = Literal["user", "assistant"]
+
+_ROLE_USER = "user"
+_ROLE_ASSISTANT = "assistant"
+
+_BOT_USER_DEFAULT = "Mesop Docs Bot"
+
+_COLOR_BACKGROUND = me.theme_var("background")
+
+_DEFAULT_PADDING = me.Padding.all(12)
+
+_LABEL_BUTTON = "send"
+_LABEL_BUTTON_IN_PROGRESS = "pending"
+_LABEL_INPUT = "Ask Mesop Docs Bot"
+
+_STYLE_APP_CONTAINER = me.Style(
+  background=_COLOR_BACKGROUND,
+  display="flex",
+  flex_direction="column",
+  height="100%",
+)
+_STYLE_TITLE = me.Style(padding=me.Padding(left=10))
+_STYLE_CHAT_BOX = me.Style(
+  height="100%",
+  overflow_y="scroll",
+  padding=_DEFAULT_PADDING,
+  background=me.theme_var("background"),
+)
+
+_STYLE_CHAT_BUTTON = me.Style(margin=me.Margin(top=8, left=8))
+_STYLE_CHAT_BUBBLE_NAME = me.Style(
+  font_weight="bold",
+  font_size="13px",
+  padding=me.Padding(left=15, right=15, bottom=5),
+)
+
+
+def _make_style_chat_ui_container() -> me.Style:
+  return me.Style(
+    flex_grow=1,
+    display="grid",
+    grid_template_columns="repeat(1, 1fr)",
+    grid_template_rows="5fr 1fr",
+    margin=me.Margin.symmetric(vertical=0, horizontal="auto"),
+    width="min(100%)",
+    background=_COLOR_BACKGROUND,
+    box_shadow=(
+      "0 3px 1px -2px #0003, 0 2px 2px #00000024, 0 1px 5px #0000001f"
+    ),
+    padding=me.Padding(top=3, left=12, right=12),
+  )
+
+
+@dataclass(kw_only=True)
+class Chunk:
+  content: str = ""
+  citation_numbers: list[int] = field(default_factory=list)
+
+
+@dataclass(kw_only=True)
+class ChatMessage:
+  """Chat message metadata."""
+
+  role: Role = "user"
+  content: str = ""
+  chunks: list[Chunk] = field(default_factory=list)
+
+
+@dataclass(kw_only=True)
+class Citation:
+  number: int = 0
+  original_numbers: list[int] = field(default_factory=list)
+  url: str = ""
+  title: str = ""
+  breadcrumbs: list[str] = field(default_factory=list)
+  content: str = ""
+
+
+@me.stateclass
+class State:
+  input: str
+  initial_input: str
+  output: list[ChatMessage]
+  citations: list[Citation]
+  intermediate_citations: list[Citation]
+  in_progress: bool = False
+  examples: list[str]
+
+
+def on_blur(e: me.InputBlurEvent):
+  state = me.state(State)
+  state.input = e.value
+
+
+mesop_questions = [
+  "How can I reset an input component?",
+  "Show me how to style a component",
+  "Create a multi-page app",
+  "Is it possible to create custom components?",
+  "Implement authentication",
+  "Deploy a Mesop app",
+  "Optimize performance",
+  "Can I use JavaScript libraries in Mesop?",
+  "Stream UI updates from an LLM API",
+  "Debug a Mesop application",
+  "Is Mesop ready for production use?",
+  "Create a mobile-friendly and responsive UI",
+  "Handle asynchronous operations",
+  "Implement dark mode",
+  "Add tooltips to Mesop components",
+  "Render a pandas DataFrame as a table",
+  "Add charts",
+  "Handle file uploads",
+]
+
+EXAMPLES = [
+  *mesop_questions,
+  "How do I create a streaming chat UI?",
+  "How do I install Mesop?",
+  "How is Mesop different from other UI frameworks?",
+]
+
+
+def on_click_submit(e: me.ClickEvent) -> Generator[None, None, None]:
+  yield from submit()
+
+
+def on_input(e: me.InputEvent) -> Generator[None, None, None]:
+  state = me.state(State)
+  if len(e.value) > 2:
+    nodes = retrieve(e.value)
+    citations = get_citations(nodes)
+    citation_by_breadcrumb = {
+      tuple(citation.breadcrumbs): citation for citation in citations
+    }
+    state.intermediate_citations = list(citation_by_breadcrumb.values())
+    yield
+  if not e.value.endswith("\n"):
+    return
+  state.input = e.value
+
+  yield from submit()
+  me.focus_component(key=f"input-{len(state.output)}")
+  yield
+
+
+def submit():
+  state = me.state(State)
+  if state.in_progress or not state.input:
+    return
+  input = state.input
+  state.input = ""
+  yield
+
+  state.output = []
+  output = state.output
+  output.append(ChatMessage(role=_ROLE_USER, content=input))
+  state.in_progress = True
+  yield
+
+  start_time = time.time()
+  output_message = transform(input, state.output)
+  assistant_message = ChatMessage(role=_ROLE_ASSISTANT)
+  output.append(assistant_message)
+  state.output = output
+
+  for content in output_message:
+    assistant_message.content += content
+
+    if (time.time() - start_time) >= 0.75:
+      start_time = time.time()
+      transform_to_chunks(assistant_message)
+      yield
+  transform_to_chunks(assistant_message)
+  state.in_progress = False
+  me.focus_component(key=f"input-{len(state.output)}")
+  yield
+
+
+# TODO: handle the case where [4,5]
+def transform_to_chunks(message: ChatMessage):
+  message.chunks = []
+  # Split the message content into chunks based on citations
+  chunks = re.split(r"(\[\d+(?:,\s*\d+)*\])", message.content)
+  # Initialize variables
+  current_chunk = ""
+  current_citations: list[int] = []
+
+  # Process each chunk
+  for chunk in chunks:
+    if re.match(r"\[\d+(?:,\s*\d+)*\]", chunk):
+      try:
+        # Remove brackets and split by comma
+        citation_numbers = [int(num.strip()) for num in chunk[1:-1].split(",")]
+        current_citations.extend(citation_numbers)
+      except Exception:
+        print("Error: Unable to parse citation numbers")
+    else:
+      # If it's text content
+      if current_chunk:
+        # If there's existing content, create a new chunk
+        message.chunks.append(
+          Chunk(
+            content=current_chunk,
+            citation_numbers=map_citation_numbers(current_citations),
+          )
+        )
+        current_chunk = ""
+        current_citations = []
+      # Add the new content
+      current_chunk += chunk
+
+  # Add the last chunk if there's any remaining content
+  if current_chunk:
+    message.chunks.append(
+      Chunk(
+        content=current_chunk,
+        citation_numbers=map_citation_numbers(current_citations),
+      )
+    )
+
+
+def map_citation_numbers(citation_numbers: list[int]) -> list[int]:
+  return citation_numbers
+
+
+def chat(
+  title: str | None = None,
+  bot_user: str = _BOT_USER_DEFAULT,
+):
+  state = me.state(State)
+
+  def toggle_theme(e: me.ClickEvent):
+    if me.theme_brightness() == "light":
+      me.set_theme_mode("dark")
+    else:
+      me.set_theme_mode("light")
+
+  with me.box(style=_STYLE_APP_CONTAINER):
+    with me.content_button(
+      type="icon",
+      style=me.Style(position="absolute", left=8, top=12),
+      on_click=toggle_theme,
+    ):
+      me.icon("light_mode" if me.theme_brightness() == "dark" else "dark_mode")
+    with me.box(
+      style=me.Style(
+        display="flex",
+        flex_direction="row",
+        padding=me.Padding.all(8),
+        background=me.theme_var("background"),
+        width="100%",
+        border=me.Border.all(
+          me.BorderSide(width=0, style="solid", color="black")
+        ),
+        box_shadow="0 10px 20px #0000000a, 0 2px 6px #0000000a, 0 0 1px #0000000a",
+      )
+    ):
+      with me.box(style=me.Style(flex_grow=1)):
+        me.native_textarea(
+          value=state.initial_input,
+          placeholder=_LABEL_INPUT,
+          key=f"input-{len(state.output)}",
+          on_blur=on_blur,
+          on_input=on_input,
+          style=me.Style(
+            color=me.theme_var("on-background"),
+            padding=me.Padding(top=16, left=48),
+            background=me.theme_var("background"),
+            letter_spacing="0.07px",
+            outline="none",
+            width="100%",
+            overflow_y="auto",
+            border=me.Border.all(
+              me.BorderSide(style="none"),
+            ),
+          ),
+        )
+      with me.content_button(
+        color="primary",
+        type="flat",
+        disabled=state.in_progress,
+        on_click=on_click_submit,
+        style=_STYLE_CHAT_BUTTON,
+      ):
+        me.icon(
+          _LABEL_BUTTON_IN_PROGRESS if state.in_progress else _LABEL_BUTTON
+        )
+
+    with me.box(style=_make_style_chat_ui_container()):
+      if title:
+        me.text(title, type="headline-5", style=_STYLE_TITLE)
+      with me.box(style=_STYLE_CHAT_BOX):
+        if not state.output and not state.intermediate_citations:
+          me.text(
+            "Welcome to Mesop Docs Bot! Ask me anything about Mesop.",
+            style=me.Style(
+              margin=me.Margin(bottom=24),
+              font_weight=500,
+            ),
+          )
+          with me.box(
+            style=me.Style(
+              display="flex",
+              flex_direction="column",
+              gap=24,
+            )
+          ):
+            for example in state.examples:
+              example_box(example)
+        if not state.output and state.intermediate_citations:
+          with me.box(
+            style=me.Style(
+              padding=me.Padding(top=16),
+              display="flex",
+              flex_direction="column",
+              gap=16,
+            ),
+          ):
+            for citation in state.intermediate_citations:
+              with citation_box(url=citation.url):
+                citation_content(
+                  Citation(
+                    url=citation.url,
+                    title=citation.title,
+                    breadcrumbs=citation.breadcrumbs,
+                    original_numbers=citation.original_numbers,
+                    content=citation.content,
+                    number=0,
+                  )
+                )
+        for msg in state.output:
+          with me.box(
+            style=me.Style(
+              display="flex", flex_direction="column", align_items="start"
+            )
+          ):
+            if msg.role == _ROLE_ASSISTANT:
+              me.text(bot_user, style=_STYLE_CHAT_BUBBLE_NAME)
+            else:
+              me.text("You", style=_STYLE_CHAT_BUBBLE_NAME)
+            with me.box(
+              style=me.Style(
+                width="100%",
+                font_size="16px",
+                line_height="1.5",
+                border_radius="15px",
+                padding=me.Padding(right=15, left=15, bottom=3),
+                margin=me.Margin(bottom=10),
+              )
+            ):
+              if msg.role == _ROLE_USER:
+                me.text(
+                  msg.content, style=me.Style(margin=me.Margin(bottom=16))
+                )
+              else:
+                if state.in_progress:
+                  me.progress_spinner()
+                used_citation_numbers: set[int] = set()
+
+                for chunk in msg.chunks:
+                  me.text(
+                    chunk.content,
+                    style=me.Style(white_space="pre-wrap", display="inline"),
+                  )
+                  if chunk.citation_numbers:
+                    with me.box(
+                      style=me.Style(
+                        display="inline-flex",
+                        flex_direction="row",
+                        gap=4,
+                        margin=me.Margin.symmetric(horizontal=6),
+                      )
+                    ):
+                      for citation_number in chunk.citation_numbers:
+                        used_citation_numbers.add(citation_number)
+
+                        citation_tooltip(
+                          get_citation_number(
+                            citation_number, used_citation_numbers
+                          )
+                        )
+
+                with me.box(
+                  style=me.Style(
+                    padding=me.Padding(top=16),
+                    display="flex",
+                    flex_direction="column",
+                    gap=16,
+                  ),
+                ):
+                  for citation in state.citations:
+                    if citation.number in used_citation_numbers:
+                      with citation_box(url=citation.url):
+                        citation_content(
+                          Citation(
+                            url=citation.url,
+                            title=citation.title,
+                            breadcrumbs=citation.breadcrumbs,
+                            original_numbers=citation.original_numbers,
+                            content=citation.content,
+                            number=get_citation_number(
+                              citation.number, used_citation_numbers
+                            ),
+                          )
+                        )
+                if not me.state(State).in_progress:
+                  with me.box(
+                    style=me.Style(
+                      display="flex",
+                      flex_direction="row",
+                      gap=4,
+                      margin=me.Margin(top=16),
+                    )
+                  ):
+                    NEWLINE = "\n"
+                    me.text("Is there an issue with this this response?")
+                    me.link(
+                      text="File an issue",
+                      url="https://github.com/mesop-dev/mesop/issues/new?assignees=&labels=bug,chatbot&projects=&title=Bad%20chatbot%20response&body="
+                      + urllib.parse.quote(f"""
+What was the issue with the chatbot response?
+
+---
+Original content:
+
+__Prompt:__
+{state.output[0].content}
+
+__Response:__
+{state.output[-1].content}
+
+__Citations:__
+
+{NEWLINE.join([f"1. {citation.url}" for citation in state.citations])}
+"""),
+                      style=me.Style(
+                        color=me.theme_var("primary"),
+                        text_decoration="none",
+                      ),
+                      open_in_new_tab=True,
+                    )
+
+
+def citation_tooltip(citation_number: int):
+  state = me.state(State)
+  with me.box(style=me.Style(display="inline-block")):
+    with me.tooltip(
+      message=state.citations[citation_number - 1].title,
+      position="below",
+    ):
+      me.text(
+        f"{citation_number}",
+        style=me.Style(
+          background=me.theme_var("surface-variant"),
+          padding=me.Padding.symmetric(horizontal=5),
+          border_radius="6px",
+          font_weight=500,
+        ),
+      )
+
+
+@me.web_component(path="./citation.js")
+def citation_box(
+  *,
+  url: str,
+  key: str | None = None,
+):
+  return me.insert_web_component(
+    name="citation-component",
+    key=key,
+    properties={
+      "url": url,
+      "active": True,
+    },
+  )
+
+
+def citation_content(citation: Citation):
+  with me.box(
+    style=me.Style(
+      display="flex",
+      flex_direction="column",
+      padding=me.Padding.symmetric(vertical=8, horizontal=16),
+      cursor="pointer",
+    ),
+  ):
+    with me.box(
+      style=me.Style(
+        display="flex",
+        flex_direction="row",
+        gap=4,
+        align_items="start",
+      )
+    ):
+      if citation.number:
+        me.text(
+          f"{citation.number}", style=me.Style(font_weight=500, font_size=18)
+        )
+      me.icon(
+        icon="description",
+        style=me.Style(font_size=20, padding=me.Padding(top=3, left=3)),
+      )
+
+      me.text(citation.title)
+    with me.box(
+      style=me.Style(
+        display="flex",
+        flex_direction="row",
+        gap=8,
+        font_size="14px",
+        font_weight=500,
+      )
+    ):
+      for breadcrumb in citation.breadcrumbs:
+        me.text(breadcrumb)
+        if breadcrumb != citation.breadcrumbs[-1]:
+          me.text(" > ")
+
+
+def example_box(example: str):
+  with me.box(
+    style=me.Style(
+      background=me.theme_var("secondary-container"),
+      border_radius="12px",
+      padding=me.Padding(left=16, right=16, top=16, bottom=16),
+      cursor="pointer",
+    ),
+    key=example,
+    on_click=on_click_example,
+  ):
+    me.text(example)
+
+
+def on_click_example(e: me.ClickEvent) -> Generator[None, None, None]:
+  state = me.state(State)
+  state.input = e.key
+  yield from submit()
+
+
+def transform(
+  message: str, history: list[ChatMessage]
+) -> Generator[str, None, None]:
+  response = ask(message)
+  citations = get_citations(response.source_nodes)
+
+  me.state(State).citations = citations
+  yield from response.response_gen
+
+
+def get_citations(source_nodes: list[NodeWithScore]) -> list[Citation]:
+  citations: list[Citation] = []
+
+  for i, source_node in enumerate(source_nodes):
+    url: str = source_node.node.metadata.get("url", "")
+    breadcrumbs = url.split("https://mesop-dev.github.io/mesop/")[-1].split("/")
+    title = source_node.node.metadata.get("title", "")
+    content_lines = source_node.node.get_content().split("\n")
+
+    for line in content_lines[2:]:
+      if line and not line.startswith("```"):
+        break
+    if len(content_lines) > 2:
+      fragment: str = (
+        "#:~:text="
+        + urllib.parse.quote(content_lines[1])
+        + ",-"
+        # Just take the first two words of the line to avoid
+        # mismatching (e.g. URLs).
+        + urllib.parse.quote(" ".join(line.split(" ")[:2]))
+      )
+    else:
+      fragment = ""
+    citations.append(
+      Citation(
+        url=url + fragment,
+        breadcrumbs=breadcrumbs,
+        title=title,
+        number=i + 1,
+      )
+    )
+  return citations
+
+
+def get_citation_number(
+  citation_number: int, used_citation_numbers: set[int]
+) -> int:
+  number = 0
+  for n in used_citation_numbers:
+    number += 1  # noqa: SIM113
+    if n == citation_number:
+      return number
+  raise ValueError(f"Citation number {citation_number} not found")
+
+
+@me.web_component(path="./frame_listener.js")
+def frame_listener(
+  *,
+  key: str | None = None,
+):
+  pass

pyproject.toml

@@ -0,0 +1,31 @@
+[project]
+name = "docbot"
+version = "0.1.0"
+description = "A chatbot for docs"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "gunicorn>=23.0.0",
+    "nest-asyncio>=1.6.0",
+    "llama-index==0.10.68",
+    "google-generativeai>=0.5.4",
+    "llama-index-llms-gemini==0.2.0",
+    "llama-index-embeddings-google==0.1.6",
+    "llama-index-retrievers-bm25==0.2.2",
+    "mesop>=1.0.0",
+]
+
+# uv required properties:
+
+[tool.uv]
+dev-dependencies = []
+
+[tool.uv.workspace]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+# See: https://github.com/astral-sh/uv/issues/6293
+[tool.hatch.build.targets.wheel]
+packages = ["."]

recorder.py

@@ -0,0 +1,130 @@
+# Create a folder at out_dir + query (percent encoded)
+import argparse
+import os
+import sys
+import urllib.parse
+
+from docs_index import blocking_query_engine
+from llama_index.core.instrumentation import get_dispatcher
+from llama_index.core.instrumentation.event_handlers import BaseEventHandler
+from llama_index.core.instrumentation.events.llm import (
+  LLMChatEndEvent,
+  LLMCompletionEndEvent,
+)
+
+
+class ModelEventHandler(BaseEventHandler):
+  @classmethod
+  def class_name(cls) -> str:
+    """Class name."""
+    return "ModelEventHandler"
+
+  def handle(self, event) -> None:
+    """Logic for handling event."""
+    if isinstance(event, LLMCompletionEndEvent):
+      print(f"LLM Prompt length: {len(event.prompt)}")
+      print(f"LLM Prompt CONTENT: {event.prompt}")
+      print(f"LLM Completion: {event.response.text!s}")
+    elif isinstance(event, LLMChatEndEvent):
+      messages_str = "\n".join([str(x.content) for x in event.messages])
+      print(f"LLM Input Messages RAW: {event.messages}")
+      print(f"LLM Input Messages length: {len(messages_str)}")
+      print(f"LLM Input Messages CONTENT: {messages_str}")
+      print(f"LLM Response: {event.response.message.content!s}")
+
+      # Create a folder for the query
+      query_folder = os.path.join(args.out_dir, urllib.parse.quote(query))
+      os.makedirs(query_folder, exist_ok=True)
+      print(f"Created folder for query: {query_folder}")
+
+      # Save the LLM input and output to files
+      with open(os.path.join(query_folder, "input.txt"), "w") as f:
+        f.write(messages_str)
+      with open(os.path.join(query_folder, "output.txt"), "w") as f:
+        f.write(str(event.response.message.content))
+
+
+# root dispatcher
+root_dispatcher = get_dispatcher()
+
+# register event handler
+root_dispatcher.add_event_handler(ModelEventHandler())
+
+QUERIES = [
+  "How can I reset an input component?",
+  "Show me how to style a component",
+  "Create a multi-page app",
+  "Is it possible to create custom components?",
+  "Implement authentication",
+  "Deploy a Mesop app",
+  "Optimize performance",
+  "Can I use JavaScript libraries in Mesop?",
+  "Stream UI updates from an LLM API",
+  "Debug a Mesop application",
+  "Is Mesop ready for production use?",
+  "Create a mobile-friendly and responsive UI",
+  "Handle asynchronous operations",
+  "Implement dark mode",
+  "Add tooltips to Mesop components",
+  "Render a pandas DataFrame as a table",
+  "Add charts",
+  "Handle file uploads",
+]
+
+# QUERIES = [
+#   "How do I test a Mesop application?",
+#   "What components are available in Mesop?",
+#   "How can I reset a text input field in Mesop?",
+#   "Show me how to style a component in Mesop",
+#   "Create a multi-page app using Mesop",
+#   "Is it possible to create custom components in Mesop?",
+#   "Implement authentication in a Mesop app",
+#   "How do I call an API from a Mesop application?",
+#   "What's the process for deploying a Mesop app?",
+#   "Optimize performance in a Mesop application",
+#   "Implement a datepicker in Mesop",
+#   "Can I use JavaScript libraries with Mesop?",
+#   "Implement real-time updates in a Mesop app",
+#   "Stream UI updates from an LLM API in Mesop",
+#   "Debug a Mesop application",
+#   "Is Mesop ready for production use?",
+#   "Implement form validation in Mesop",
+#   "Create a mobile-friendly Mesop app",
+#   "Handle asynchronous operations in Mesop",
+#   "Implement dark mode in a Mesop application",
+#   "Add keyboard shortcuts to a Mesop app",
+#   "Implement drag and drop functionality in Mesop",
+#   "Create an infinite scroll feature in Mesop",
+#   "How to make a row of components in Mesop",
+#   "Add tooltips to Mesop components",
+#   "Render a pandas DataFrame in a Mesop app",
+#   "Add charts to a Mesop application",
+#   "Create a table component in Mesop",
+#   "Handle file uploads in a Mesop app",
+#   "Use command-line flags with a Mesop application",
+#   "Create a clickable link in Mesop",
+#   "Implement a download link in a Mesop app",
+# ]
+
+
+parser = argparse.ArgumentParser(
+  description="Process queries and record model events."
+)
+parser.add_argument(
+  "--out-dir", type=str, help="Output directory for recorded events"
+)
+args = parser.parse_args()
+
+if args.out_dir:
+  print(f"Output directory set to: {args.out_dir}")
+
+  # Create the output directory if it doesn't exist
+  os.makedirs(args.out_dir, exist_ok=True)
+  print(f"Created output directory: {args.out_dir}")
+else:
+  print("No output directory specified. Exiting! Specify with --out-dir")
+  sys.exit(1)
+
+
+for query in QUERIES:
+  blocking_query_engine.query(query)

requirements.txt

@@ -0,0 +1,374 @@
+# This file was autogenerated by uv via the following command:
+#    uv pip compile pyproject.toml -o requirements.txt
+absl-py==2.1.0
+    # via mesop
+aiohappyeyeballs==2.4.0
+    # via aiohttp
+aiohttp==3.10.11
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+aiosignal==1.3.1
+    # via aiohttp
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.4.0
+    # via
+    #   httpx
+    #   openai
+async-timeout==4.0.3
+    # via aiohttp
+attrs==24.2.0
+    # via aiohttp
+beautifulsoup4==4.12.3
+    # via llama-index-readers-file
+blinker==1.8.2
+    # via flask
+bm25s==0.1.10
+    # via llama-index-retrievers-bm25
+cachetools==5.5.0
+    # via google-auth
+certifi==2024.8.30
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.3.2
+    # via requests
+click==8.1.7
+    # via
+    #   flask
+    #   nltk
+dataclasses-json==0.6.7
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+deepdiff==6.7.1
+    # via mesop
+deprecated==1.2.14
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+dirtyjson==1.0.8
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+distro==1.9.0
+    # via openai
+exceptiongroup==1.2.2
+    # via anyio
+flask==3.0.3
+    # via mesop
+frozenlist==1.4.1
+    # via
+    #   aiohttp
+    #   aiosignal
+fsspec==2024.6.1
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+google-ai-generativelanguage==0.6.4
+    # via google-generativeai
+google-api-core==2.19.1
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-python-client
+    #   google-generativeai
+google-api-python-client==2.142.0
+    # via google-generativeai
+google-auth==2.34.0
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-core
+    #   google-api-python-client
+    #   google-auth-httplib2
+    #   google-generativeai
+google-auth-httplib2==0.2.0
+    # via google-api-python-client
+google-generativeai==0.5.4
+    # via
+    #   docbot (pyproject.toml)
+    #   llama-index-embeddings-google
+    #   llama-index-llms-gemini
+googleapis-common-protos==1.63.2
+    # via
+    #   google-api-core
+    #   grpcio-status
+greenlet==3.0.3
+    # via sqlalchemy
+grpcio==1.66.0
+    # via
+    #   google-api-core
+    #   grpcio-status
+grpcio-status==1.62.3
+    # via google-api-core
+gunicorn==23.0.0
+    # via docbot (pyproject.toml)
+h11==0.14.0
+    # via httpcore
+httpcore==1.0.5
+    # via httpx
+httplib2==0.22.0
+    # via
+    #   google-api-python-client
+    #   google-auth-httplib2
+httpx==0.27.0
+    # via
+    #   llama-cloud
+    #   llama-index-core
+    #   llama-index-legacy
+    #   openai
+idna==3.8
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+    #   yarl
+itsdangerous==2.2.0
+    # via flask
+jinja2==3.1.4
+    # via flask
+jiter==0.5.0
+    # via openai
+joblib==1.4.2
+    # via nltk
+llama-cloud==0.0.15
+    # via llama-index-indices-managed-llama-cloud
+llama-index==0.10.68
+    # via docbot (pyproject.toml)
+llama-index-agent-openai==0.2.9
+    # via
+    #   llama-index
+    #   llama-index-program-openai
+llama-index-cli==0.1.13
+    # via llama-index
+llama-index-core==0.10.68.post1
+    # via
+    #   llama-index
+    #   llama-index-agent-openai
+    #   llama-index-cli
+    #   llama-index-embeddings-google
+    #   llama-index-embeddings-openai
+    #   llama-index-indices-managed-llama-cloud
+    #   llama-index-llms-gemini
+    #   llama-index-llms-openai
+    #   llama-index-multi-modal-llms-openai
+    #   llama-index-program-openai
+    #   llama-index-question-gen-openai
+    #   llama-index-readers-file
+    #   llama-index-readers-llama-parse
+    #   llama-index-retrievers-bm25
+    #   llama-parse
+llama-index-embeddings-google==0.1.6
+    # via docbot (pyproject.toml)
+llama-index-embeddings-openai==0.1.11
+    # via
+    #   llama-index
+    #   llama-index-cli
+llama-index-indices-managed-llama-cloud==0.2.7
+    # via llama-index
+llama-index-legacy==0.9.48.post3
+    # via llama-index
+llama-index-llms-gemini==0.2.0
+    # via docbot (pyproject.toml)
+llama-index-llms-openai==0.1.31
+    # via
+    #   llama-index
+    #   llama-index-agent-openai
+    #   llama-index-cli
+    #   llama-index-multi-modal-llms-openai
+    #   llama-index-program-openai
+    #   llama-index-question-gen-openai
+llama-index-multi-modal-llms-openai==0.1.9
+    # via llama-index
+llama-index-program-openai==0.1.7
+    # via
+    #   llama-index
+    #   llama-index-question-gen-openai
+llama-index-question-gen-openai==0.1.3
+    # via llama-index
+llama-index-readers-file==0.1.33
+    # via llama-index
+llama-index-readers-llama-parse==0.1.6
+    # via llama-index
+llama-index-retrievers-bm25==0.2.2
+    # via docbot (pyproject.toml)
+llama-parse==0.4.9
+    # via llama-index-readers-llama-parse
+markupsafe==2.1.5
+    # via
+    #   jinja2
+    #   werkzeug
+marshmallow==3.22.0
+    # via dataclasses-json
+mesop==1.0.0
+    # via docbot (pyproject.toml)
+msgpack==1.0.8
+    # via mesop
+multidict==6.0.5
+    # via
+    #   aiohttp
+    #   yarl
+mypy-extensions==1.0.0
+    # via typing-inspect
+nest-asyncio==1.6.0
+    # via
+    #   docbot (pyproject.toml)
+    #   llama-index-core
+    #   llama-index-legacy
+networkx==3.3
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+nltk==3.9.1
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+numpy==1.26.4
+    # via
+    #   bm25s
+    #   llama-index-core
+    #   llama-index-legacy
+    #   pandas
+    #   scipy
+openai==1.42.0
+    # via
+    #   llama-index-agent-openai
+    #   llama-index-legacy
+    #   llama-index-llms-openai
+ordered-set==4.1.0
+    # via deepdiff
+packaging==24.1
+    # via
+    #   gunicorn
+    #   marshmallow
+pandas==2.2.2
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+pillow==10.4.0
+    # via
+    #   llama-index-core
+    #   llama-index-llms-gemini
+propcache==0.3.0
+    # via yarl
+proto-plus==1.24.0
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-core
+protobuf==4.25.4
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-core
+    #   google-generativeai
+    #   googleapis-common-protos
+    #   grpcio-status
+    #   mesop
+    #   proto-plus
+pyasn1==0.6.0
+    # via
+    #   pyasn1-modules
+    #   rsa
+pyasn1-modules==0.4.0
+    # via google-auth
+pydantic==2.8.2
+    # via
+    #   google-generativeai
+    #   llama-cloud
+    #   llama-index-core
+    #   mesop
+    #   openai
+pydantic-core==2.20.1
+    # via pydantic
+pyparsing==3.1.4
+    # via httplib2
+pypdf==4.3.1
+    # via llama-index-readers-file
+pystemmer==2.2.0.1
+    # via llama-index-retrievers-bm25
+python-dateutil==2.9.0.post0
+    # via pandas
+python-dotenv==1.0.1
+    # via mesop
+pytz==2024.1
+    # via pandas
+pyyaml==6.0.2
+    # via llama-index-core
+regex==2024.7.24
+    # via
+    #   nltk
+    #   tiktoken
+requests==2.32.3
+    # via
+    #   google-api-core
+    #   llama-index-core
+    #   llama-index-legacy
+    #   tiktoken
+rsa==4.9
+    # via google-auth
+scipy==1.14.1
+    # via bm25s
+six==1.16.0
+    # via python-dateutil
+sniffio==1.3.1
+    # via
+    #   anyio
+    #   httpx
+    #   openai
+soupsieve==2.6
+    # via beautifulsoup4
+sqlalchemy==2.0.32
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+striprtf==0.0.26
+    # via llama-index-readers-file
+tenacity==8.5.0
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+tiktoken==0.7.0
+    # via
+    #   llama-index-core
+    #   llama-index-legacy
+tqdm==4.66.5
+    # via
+    #   google-generativeai
+    #   llama-index-core
+    #   nltk
+    #   openai
+typing-extensions==4.12.2
+    # via
+    #   anyio
+    #   google-generativeai
+    #   llama-index-core
+    #   llama-index-legacy
+    #   openai
+    #   pydantic
+    #   pydantic-core
+    #   pypdf
+    #   sqlalchemy
+    #   typing-inspect
+typing-inspect==0.9.0
+    # via
+    #   dataclasses-json
+    #   llama-index-core
+    #   llama-index-legacy
+tzdata==2024.1
+    # via pandas
+uritemplate==4.1.1
+    # via google-api-python-client
+urllib3==2.2.2
+    # via requests
+watchdog==4.0.2
+    # via mesop
+werkzeug==3.0.6
+    # via
+    #   flask
+    #   mesop
+wrapt==1.16.0
+    # via
+    #   deprecated
+    #   llama-index-core
+yarl==1.18.3
+    # via aiohttp

scrollable.js

@@ -0,0 +1,21 @@
+import {
+  LitElement,
+  html,
+  css,
+} from 'https://cdn.jsdelivr.net/gh/lit/dist@3/core/lit-core.min.js';
+
+class ScrollableComponent extends LitElement {
+  renderRoot() {
+    return this;
+  }
+  firstUpdated() {
+    // this.focus();
+  }
+  render() {
+    this.tabIndex = 0;
+    this.style.overflowY = 'auto';
+    this.style.outline = 'none';
+  }
+}
+
+customElements.define('scrollable-component', ScrollableComponent);