import streamlit as st
import anthropic
import os
import base64
import glob
import json
import pytz
from datetime import datetime
from streamlit.components.v1 import html
from PIL import Image
import re
#from urllib.parse import quote
from azure.cosmos import CosmosClient, exceptions
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
import uuid # π² For generating unique IDs
from urllib.parse import quote # π For encoding URLs
from gradio_client import Client # π For connecting to Gradio apps
# π Welcome to our fun-filled Cosmos DB and GitHub Integration app!
# 1. App Configuration
Site_Name = 'π€π§ Claude35ππ¬'
title="π€π§ Claude35ππ¬"
helpURL='https://huggingface.co/awacke1'
bugURL='https://huggingface.co/spaces/awacke1'
icons='π€π§ π¬π'
st.set_page_config(
page_title=title,
page_icon=icons,
layout="wide",
initial_sidebar_state="auto",
menu_items={
'Get Help': helpURL,
'Report a bug': bugURL,
'About': title
}
)
# π Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key") # π Don't forget your key!
# π Your local app URL (Change this to your app's URL)
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
# π€ OpenAI configuration
# openai.api_key = os.environ.get("OPENAI_API_KEY")
# MODEL = "gpt-3.5-turbo" # Replace with your desired model
# π GitHub configuration
def download_github_repo(url, local_path):
# π Let's download that GitHub repo!
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
# π¦ Zipping up files like a pro!
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
# π οΈ Creating a new GitHub repo. Magic!
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
# π Pushing code to GitHub. Hold on tight!
repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
local_repo = Repo(local_path)
if 'origin' in [remote.name for remote in local_repo.remotes]:
origin = local_repo.remote('origin')
origin.set_url(repo_url)
else:
origin = local_repo.create_remote('origin', repo_url)
if not local_repo.heads:
local_repo.git.checkout('-b', 'main')
current_branch = 'main'
else:
current_branch = local_repo.active_branch.name
local_repo.git.add(A=True)
if local_repo.is_dirty():
local_repo.git.commit('-m', 'Initial commit')
origin.push(refspec=f'{current_branch}:{current_branch}')
def get_base64_download_link(file_path, file_name):
# π§ββοΈ Generating a magical download link!
with open(file_path, "rb") as file:
contents = file.read()
base64_encoded = base64.b64encode(contents).decode()
return f'β¬οΈ Download {file_name}'
# π§ New functions for dynamic sidebar navigation
def get_databases(client):
# π Fetching list of databases. So many options!
return [db['id'] for db in client.list_databases()]
def get_containers(database):
# π Getting containers. Containers within containers!
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
# π Retrieving documents. Shhh, don't tell anyone!
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
# π Cosmos DB functions
def insert_record(container, record):
# π₯ Inserting a record into the Cosmosβhope we don't disturb any aliens! π½
try:
container.create_item(body=record)
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
def update_record(container, updated_record):
# π Updating a recordβgiving it a cosmic makeover! β¨
try:
container.upsert_item(body=updated_record)
return True, f"Record with id {updated_record['id']} successfully updated. π οΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
def delete_record(container, name, id):
# ποΈ Deleting a recordβsending it into the cosmic void! π
try:
container.delete_item(item=id, partition_key=id)
return True, f"Successfully deleted record with name: {name} and id: {id} ποΈ"
except exceptions.CosmosResourceNotFoundError:
return False, f"Record with id {id} not found. It may have been already deleted. π΅οΈββοΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
# π² Function to generate a unique UUID
def generate_unique_id():
# π§ββοΈ Generating a unique UUID!
return str(uuid.uuid4())
# π¦ Function to archive current container
def archive_current_container(database_name, container_name, client):
# π¦ Archiving the entire containerβtime to pack up the stars! π
try:
base_dir = "./cosmos_archive_current_container"
if os.path.exists(base_dir):
shutil.rmtree(base_dir)
os.makedirs(base_dir)
db_client = client.get_database_client(database_name)
container_client = db_client.get_container_client(container_name)
items = list(container_client.read_all_items())
container_dir = os.path.join(base_dir, container_name)
os.makedirs(container_dir)
for item in items:
item_id = item.get('id', f"unknown_{datetime.now().strftime('%Y%m%d%H%M%S')}")
with open(os.path.join(container_dir, f"{item_id}.json"), 'w') as f:
json.dump(item, f, indent=2)
archive_name = f"{container_name}_archive_{datetime.now().strftime('%Y%m%d%H%M%S')}"
shutil.make_archive(archive_name, 'zip', base_dir)
return get_base64_download_link(f"{archive_name}.zip", f"{archive_name}.zip")
except Exception as e:
return f"An error occurred while archiving data: {str(e)} π’"
# π Helper to extract hyperlinks
def extract_hyperlinks(responses):
# π Extracting hyperlinksβconnecting the dots across the universe! πΈοΈ
hyperlinks = []
for response in responses:
parsed_response = json.loads(response)
links = [value for key, value in parsed_response.items() if isinstance(value, str) and value.startswith("http")]
hyperlinks.extend(links)
return hyperlinks
# π Helper to format text with line numbers
def format_with_line_numbers(text):
# π Formatting text with line numbersβorganizing the cosmos one line at a time! π
lines = text.splitlines()
formatted_text = '\n'.join(f"{i+1}: {line}" for i, line in enumerate(lines))
return formatted_text
def generate_unique_id():
return str(uuid.uuid4())
def get_databases(client):
return [db['id'] for db in client.list_databases()]
def get_containers(database):
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
def save_to_cosmos_db(container, query, response1, response2):
try:
if container:
record = {
"id": generate_unique_id(),
"query": query,
"response1": response1,
"response2": response2
}
try:
container.create_item(body=record)
st.success(f"Record saved successfully with ID: {record['id']}")
# Refresh the documents display
st.session_state.documents = get_documents(container)
except exceptions.CosmosHttpResponseError as e:
st.error(f"Error saving record to Cosmos DB: {e}")
else:
st.error("Cosmos DB container is not initialized.")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
# Add dropdowns for model and database choices
def search_glossary(query):
st.markdown(f"### π Search Glossary for: `{query}`")
# Dropdown for model selection
model_options = ['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']
model_choice = st.selectbox('π§ Select LLM Model', options=model_options, index=1)
# Dropdown for database selection
database_options = ['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)']
database_choice = st.selectbox('π Select Database', options=database_options, index=0)
# Run Button with Emoji
#if st.button("π Run"):
# π΅οΈββοΈ Searching the glossary for: query
all_results = ""
st.markdown(f"- {query}")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
#database_choice Literal['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)'] Default: "Semantic Search"
#llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result = client.predict(
prompt=query,
llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result)
st.code(result, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result2 = client.predict(
prompt=query,
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result2)
st.code(result2, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result3 = client.predict(
prompt=query,
llm_model_picked="google/gemma-7b-it",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result3)
st.code(result3, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
response2 = client.predict(
message=query, # str in 'parameter_13' Textbox component
llm_results_use=10,
database_choice="Semantic Search",
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
api_name="/update_with_rag_md"
) # update_with_rag_md Returns tuple of 2 elements [0] str The output value that appears in the "value_14" Markdown component. [1] str
st.markdown(response2[0])
st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
st.markdown(response2[1])
st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
# When saving results, pass the container
try:
save_to_cosmos_db(st.session_state.cosmos_container, query, result, result)
save_to_cosmos_db(st.session_state.cosmos_container, query, result2, result2)
save_to_cosmos_db(st.session_state.cosmos_container, query, result3, result3)
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[0], response2[0])
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[1], response2[1])
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
try:
# Aggregate hyperlinks and show with emojis
hyperlinks = extract_hyperlinks([response1, response2])
st.markdown("### π Aggregated Hyperlinks")
for link in hyperlinks:
st.markdown(f"π [{link}]({link})")
# Show responses in a code format with line numbers
st.markdown("### π Response Outputs with Line Numbers")
st.code(f"Response 1: \n{format_with_line_numbers(response1)}\n\nResponse 2: \n{format_with_line_numbers(response2)}", language="json")
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
# π€ Function to process text input
def process_text(text_input):
# π€ Processing text inputβtranslating human words into cosmic signals! π‘
if text_input:
if 'messages' not in st.session_state:
st.session_state.messages = []
st.session_state.messages.append({"role": "user", "content": text_input})
with st.chat_message("user"):
st.markdown(text_input)
with st.chat_message("assistant"):
search_glossary(text_input)
# π Function to generate a filename
def generate_filename(text, file_type):
# π Generate a filename based on the text input
safe_text = "".join(c if c.isalnum() or c in (' ', '.', '_') else '_' for c in text)
safe_text = "_".join(safe_text.strip().split())
filename = f"{safe_text}.{file_type}"
return filename
# π΅οΈββοΈ Function to extract markdown title
def extract_markdown_title(content):
# π΅οΈββοΈ Extracting markdown titleβfinding the headline in the cosmic news! π°
lines = content.splitlines()
for line in lines:
if line.startswith('#'):
return line.lstrip('#').strip()
return None
# πΎ Function to create and save a file
def create_and_save_file(content, file_type="md", prompt=None, is_image=False, should_save=True):
# πΎ Creating and saving a fileβcapturing cosmic wisdom! π
if not should_save:
return None
# Step 1: Generate filename based on the prompt or content
filename = generate_filename(prompt if prompt else content, file_type)
# Step 2: If it's a markdown file, check if it has a title
if file_type == "md":
title_from_content = extract_markdown_title(content)
if title_from_content:
filename = generate_filename(title_from_content, file_type)
# Step 3: Save the file
with open(filename, "w", encoding="utf-8") as f:
if is_image:
f.write(content)
else:
f.write(prompt + "\n\n" + content)
return filename
# π€ Function to insert an auto-generated record
def insert_auto_generated_record(container):
# π€ Automatically generating a record and inserting it into Cosmos DB!
try:
# Generate a unique id
new_id = generate_unique_id()
# Create a sample JSON document
new_doc = {
'id': new_id,
'name': f'Sample Name {new_id[:8]}',
'description': 'This is a sample auto-generated description.',
'timestamp': datetime.utcnow().isoformat()
}
# Insert the document
container.create_item(body=new_doc)
return True, f"Record inserted successfully with id: {new_id} π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
# π Main function
def main():
# π Let's modify the main app to be more fun!
st.title("πGitπCosmosπ« - Azure Cosmos DB and Github Agent")
# π¦ Initialize session state
if 'logged_in' not in st.session_state:
st.session_state.logged_in = False
if 'selected_records' not in st.session_state:
st.session_state.selected_records = []
if 'client' not in st.session_state:
st.session_state.client = None
if 'selected_database' not in st.session_state:
st.session_state.selected_database = None
if 'selected_container' not in st.session_state:
st.session_state.selected_container = None
if 'selected_document_id' not in st.session_state:
st.session_state.selected_document_id = None
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'cloned_doc' not in st.session_state:
st.session_state.cloned_doc = None
# βοΈ q= Run ArXiv search from query parameters
try:
query_params = st.query_params
query = query_params.get('q') or query_params.get('query') or ''
if query:
# π΅οΈββοΈ We have a query! Let's process it!
process_text(query)
st.stop() # Stop further execution
except Exception as e:
st.markdown(' ')
# π Automatic Login
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Cosmos DB Key is not set in environment variables. πβ")
return # Can't proceed without a key
if st.session_state.logged_in:
# π Initialize Cosmos DB client
try:
if st.session_state.client is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
# ποΈ Sidebar for database, container, and document selection
st.sidebar.title("πGitπCosmosπ«ποΈNavigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ Select Database", databases)
if selected_db != st.session_state.selected_database:
st.session_state.selected_database = selected_db
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_database:
database = st.session_state.client.get_database_client(st.session_state.selected_database)
containers = get_containers(database)
selected_container = st.sidebar.selectbox("π Select Container", containers)
if selected_container != st.session_state.selected_container:
st.session_state.selected_container = selected_container
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_container:
container = database.get_container_client(st.session_state.selected_container)
# π¦ Add Export button
if st.button("π¦ Export Container Data"):
download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
if download_link.startswith(' 5:
documents_to_display = documents[:5]
st.info("Showing top 5 most recent documents.")
else:
documents_to_display = documents
st.info(f"Showing all {len(documents_to_display)} documents.")
if documents_to_display:
# π¨ Add Viewer/Editor selection
view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit and Save', 'Clone Document', 'New Record']
selected_view = st.selectbox("Select Viewer/Editor", view_options, index=2)
if selected_view == 'Show as Markdown':
# ποΈ Show each record as Markdown with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
# π΅οΈββοΈ Let's extract values from the JSON that have at least one space
values_with_space = []
def extract_values(obj):
if isinstance(obj, dict):
for k, v in obj.items():
extract_values(v)
elif isinstance(obj, list):
for item in obj:
extract_values(item)
elif isinstance(obj, str):
if ' ' in obj:
values_with_space.append(obj)
extract_values(doc)
# π Let's create a list of links for these values
search_urls = {
"ππArXiv": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"πAnalyst": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix')}",
"πPyCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix2')}",
"π¬JSCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix3')}",
"π ": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"βΆοΈ": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π": lambda k: f"https://www.bing.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π¦": lambda k: f"https://twitter.com/search?q={quote(k)}",
}
st.markdown("#### π Links for Extracted Texts")
for term in values_with_space:
links_md = ' '.join([f"[{emoji}]({url(term)})" for emoji, url in search_urls.items()])
st.markdown(f"**{term}** {links_md}", unsafe_allow_html=True)
# Show the document content as markdown
content = json.dumps(doc, indent=2)
st.markdown(f"```json\n{content}\n```")
# Navigation buttons
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_markdown'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_markdown'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Show as Code Editor':
# π» Show each record in a code editor with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
doc_str = st.text_area("Edit Document", value=json.dumps(doc, indent=2), height=300, key=f'code_editor_{st.session_state.current_index}')
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_code'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_code'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
if st.button("πΎ Save Changes", key=f'save_button_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'Show as Edit and Save':
# βοΈ Show as Edit and Save in columns
st.markdown("#### Edit the document fields below:")
# Create columns for each document
num_cols = len(documents_to_display)
cols = st.columns(num_cols)
for idx, (col, doc) in enumerate(zip(cols, documents_to_display)):
with col:
st.markdown(f"##### Document ID: {doc.get('id', '')}")
editable_id = st.text_input("ID", value=doc.get('id', ''), key=f'edit_id_{idx}')
# Remove 'id' from the document for editing other fields
editable_doc = doc.copy()
editable_doc.pop('id', None)
doc_str = st.text_area("Document Content (in JSON format)", value=json.dumps(editable_doc, indent=2), height=300, key=f'doc_str_{idx}')
# Add the "Run With AI" button next to "Save Changes"
col_save, col_ai = st.columns(2)
with col_save:
if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
try:
updated_doc = json.loads(doc_str)
updated_doc['id'] = editable_id # Include the possibly edited ID
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
with col_ai:
if st.button("π€ Run With AI", key=f'run_with_ai_button_{idx}'):
# Use the entire document as input
search_glossary(json.dumps(editable_doc, indent=2))
elif selected_view == 'Clone Document':
# 𧬠Clone Document per record
st.markdown("#### Clone a document:")
for idx, doc in enumerate(documents_to_display):
st.markdown(f"##### Document ID: {doc.get('id', '')}")
if st.button("π Clone Document", key=f'clone_button_{idx}'):
cloned_doc = doc.copy()
# Generate a unique ID
cloned_doc['id'] = generate_unique_id()
st.session_state.cloned_doc = cloned_doc
st.session_state.cloned_doc_str = json.dumps(cloned_doc, indent=2)
st.session_state.clone_mode = True
st.rerun()
if st.session_state.get('clone_mode', False):
st.markdown("#### Edit Cloned Document:")
cloned_doc_str = st.text_area("Cloned Document Content (in JSON format)", value=st.session_state.cloned_doc_str, height=300)
if st.button("πΎ Save Cloned Document"):
try:
new_doc = json.loads(cloned_doc_str)
success, message = insert_record(container, new_doc)
if success:
st.success(f"Cloned document saved with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.session_state.clone_mode = False
st.session_state.cloned_doc = None
st.session_state.cloned_doc_str = ''
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'New Record':
# π New Record
st.markdown("#### Create a new document:")
if st.button("π€ Insert Auto-Generated Record"):
success, message = insert_auto_generated_record(container)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
else:
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
new_doc_str = st.text_area("Document Content (in JSON format)", value='{}', height=300)
if st.button("β Create New Document"):
try:
new_doc = json.loads(new_doc_str)
new_doc['id'] = new_id # Use the provided ID
success, message = insert_record(container, new_doc)
if success:
st.success(f"New document created with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
# Switch to 'Show as Edit and Save' mode
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
else:
st.sidebar.info("No documents found in this container. π")
# π Main content area
st.subheader(f"π Container: {st.session_state.selected_container}")
if st.session_state.selected_container:
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No documents to display. π§")
# π GitHub section
st.subheader("π GitHub Operations")
github_token = os.environ.get("GITHUB") # Read GitHub token from environment variable
source_repo = st.text_input("Source GitHub Repository URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repository Name (for cloning)", value=f"AIExample-Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col1, col2 = st.columns(2)
with col1:
if st.button("π₯ Clone Repository"):
if github_token and source_repo:
try:
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
zip_filename = f"{new_repo_name}.zip"
create_zip_file(local_path, zip_filename[:-4])
st.markdown(get_base64_download_link(zip_filename, zip_filename), unsafe_allow_html=True)
st.success("Repository cloned successfully! π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
with col2:
if st.button("π€ Push to New Repository"):
if github_token and source_repo:
try:
g = Github(github_token)
new_repo = create_repo(g, new_repo_name)
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
push_to_github(local_path, new_repo, github_token)
st.success(f"Repository pushed successfully to {new_repo.html_url} π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
except exceptions.CosmosHttpResponseError as e:
st.error(f"Failed to connect to Cosmos DB. HTTP error: {str(e)} π¨")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)} π±")
# πͺ Logout button
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.session_state.logged_in = False
st.session_state.selected_records.clear()
st.session_state.client = None
st.session_state.selected_database = None
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
# Set up the Anthropic client
client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
# Initialize session state
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
# Helper Functions: All Your Essentials π
# Function to get a file download link (because you deserve easy downloads π)
def get_download_link(file_path):
with open(file_path, "rb") as file:
contents = file.read()
b64 = base64.b64encode(contents).decode()
file_name = os.path.basename(file_path)
return f'Download {file_name}π'
# Function to generate a filename based on prompt and time (because names matter π)
def generate_filename(prompt, file_type):
central = pytz.timezone('US/Central')
safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
safe_prompt = re.sub(r'\W+', '_', prompt)[:90]
return f"{safe_date_time}_{safe_prompt}.{file_type}"
# Function to create and save a file (and avoid the black hole of lost data π³)
def create_file(filename, prompt, response, should_save=True):
if not should_save:
return
with open(filename, 'w', encoding='utf-8') as file:
file.write(prompt + "\n\n" + response)
# Function to load file content (for revisiting the past π)
def load_file(file_name):
with open(file_name, "r", encoding='utf-8') as file:
content = file.read()
return content
# Function to display handy glossary entity links (search like a pro π)
def display_glossary_entity(k):
search_urls = {
"ππArXiv": lambda k: f"/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
}
links_md = ' '.join([f"[{emoji}]({url(k)})" for emoji, url in search_urls.items()])
st.markdown(f"**{k}** {links_md}", unsafe_allow_html=True)
# Function to create zip of files (because more is more π§³)
def create_zip_of_files(files):
import zipfile
zip_name = "all_files.zip"
with zipfile.ZipFile(zip_name, 'w') as zipf:
for file in files:
zipf.write(file)
return zip_name
# Function to create HTML for autoplaying and looping video (for the full cinematic effect π₯)
def get_video_html(video_path, width="100%"):
video_url = f"data:video/mp4;base64,{base64.b64encode(open(video_path, 'rb').read()).decode()}"
return f'''
'''
# Function to create HTML for audio player (when life needs a soundtrack πΆ)
def get_audio_html(audio_path, width="100%"):
audio_url = f"data:audio/mpeg;base64,{base64.b64encode(open(audio_path, 'rb').read()).decode()}"
return f'''
'''
# Streamlit App Layout (like a house with better flow π‘)
def main():
# Sidebar with Useful Controls (All the VIP actions π)
st.sidebar.title("π§ Claudeπ")
all_files = glob.glob("*.md")
all_files.sort(reverse=True)
if st.sidebar.button("π Delete All"):
for file in all_files:
os.remove(file)
st.rerun()
if st.sidebar.button("β¬οΈ Download All"):
zip_file = create_zip_of_files(all_files)
st.sidebar.markdown(get_download_link(zip_file), unsafe_allow_html=True)
for file in all_files:
col1, col2, col3, col4 = st.sidebar.columns([1,3,1,1])
with col1:
if st.button("π", key="view_"+file):
st.session_state.current_file = file
st.session_state.file_content = load_file(file)
with col2:
st.markdown(get_download_link(file), unsafe_allow_html=True)
with col3:
if st.button("π", key="edit_"+file):
st.session_state.current_file = file
st.session_state.file_content = load_file(file)
with col4:
if st.button("π", key="delete_"+file):
os.remove(file)
st.rerun()
# Main Area: Chat with Claude (Heβs a good listener π¬)
user_input = st.text_area("Message π¨:", height=100)
if st.button("Send π¨"):
if user_input:
response = client.messages.create(
model="claude-3-sonnet-20240229",
max_tokens=1000,
messages=[
{"role": "user", "content": user_input}
]
)
st.write("Claude's reply π§ :")
st.write(response.content[0].text)
filename = generate_filename(user_input, "md")
create_file(filename, user_input, response.content[0].text)
st.session_state.chat_history.append({"user": user_input, "claude": response.content[0].text})
# Display Chat History (Never forget a good chat π)
st.subheader("Past Conversations π")
for chat in st.session_state.chat_history:
st.text_area("You said π¬:", chat["user"], height=100, disabled=True)
st.text_area("Claude replied π€:", chat["claude"], height=200, disabled=True)
st.markdown("---")
# File Editor (When you need to tweak things βοΈ)
if hasattr(st.session_state, 'current_file'):
st.subheader(f"Editing: {st.session_state.current_file} π ")
new_content = st.text_area("File Content βοΈ:", st.session_state.file_content, height=300)
if st.button("Save Changes πΎ"):
with open(st.session_state.current_file, 'w', encoding='utf-8') as file:
file.write(new_content)
st.success("File updated successfully! π")
# Image Gallery (For your viewing pleasure πΈ)
st.subheader("Image Gallery πΌ")
image_files = glob.glob("*.png") + glob.glob("*.jpg") + glob.glob("*.jpeg")
image_cols = st.slider("Gallery Columns πΌ", min_value=1, max_value=15, value=5)
cols = st.columns(image_cols)
for idx, image_file in enumerate(image_files):
with cols[idx % image_cols]:
img = Image.open(image_file)
#st.image(img, caption=image_file, use_column_width=True)
st.image(img, use_column_width=True)
display_glossary_entity(os.path.splitext(image_file)[0])
# Video Gallery (Letβs roll the tapes π¬)
st.subheader("Video Gallery π₯")
video_files = glob.glob("*.mp4")
video_cols = st.slider("Gallery Columns π¬", min_value=1, max_value=5, value=3)
cols = st.columns(video_cols)
for idx, video_file in enumerate(video_files):
with cols[idx % video_cols]:
st.markdown(get_video_html(video_file, width="100%"), unsafe_allow_html=True)
display_glossary_entity(os.path.splitext(video_file)[0])
# Audio Gallery (Tunes for the mood πΆ)
st.subheader("Audio Gallery π§")
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
audio_cols = st.slider("Gallery Columns πΆ", min_value=1, max_value=15, value=5)
cols = st.columns(audio_cols)
for idx, audio_file in enumerate(audio_files):
with cols[idx % audio_cols]:
st.markdown(get_audio_html(audio_file, width="100%"), unsafe_allow_html=True)
display_glossary_entity(os.path.splitext(audio_file)[0])
if __name__ == "__main__":
main()