Update space

app.py

@@ -1,204 +1,210 @@
 import gradio as gr
-from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
-import pandas as pd
-from apscheduler.schedulers.background import BackgroundScheduler
-from huggingface_hub import snapshot_download
-
-from src.about import (
-    CITATION_BUTTON_LABEL,
-    CITATION_BUTTON_TEXT,
-    EVALUATION_QUEUE_TEXT,
-    INTRODUCTION_TEXT,
-    LLM_BENCHMARKS_TEXT,
-    TITLE,
-)
-from src.display.css_html_js import custom_css
-from src.display.utils import (
-    BENCHMARK_COLS,
-    COLS,
-    EVAL_COLS,
-    EVAL_TYPES,
-    AutoEvalColumn,
-    ModelType,
-    fields,
-    WeightType,
-    Precision
-)
-from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO, TOKEN
-from src.populate import get_evaluation_queue_df, get_leaderboard_df
-from src.submission.submit import add_new_eval
-
-
-def restart_space():
-    API.restart_space(repo_id=REPO_ID)
-
-### Space initialisation
-try:
-    print(EVAL_REQUESTS_PATH)
-    snapshot_download(
-        repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
-    )
-except Exception:
-    restart_space()
-try:
-    print(EVAL_RESULTS_PATH)
-    snapshot_download(
-        repo_id=RESULTS_REPO, local_dir=EVAL_RESULTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
-    )
-except Exception:
-    restart_space()
-
-
-LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
-
-(
-    finished_eval_queue_df,
-    running_eval_queue_df,
-    pending_eval_queue_df,
-) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
-
-def init_leaderboard(dataframe):
-    if dataframe is None or dataframe.empty:
-        raise ValueError("Leaderboard DataFrame is empty or None.")
-    return Leaderboard(
-        value=dataframe,
-        datatype=[c.type for c in fields(AutoEvalColumn)],
-        select_columns=SelectColumns(
-            default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
-            cant_deselect=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
-            label="Select Columns to Display:",
-        ),
-        search_columns=[AutoEvalColumn.model.name, AutoEvalColumn.license.name],
-        hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
-        filter_columns=[
-            ColumnFilter(AutoEvalColumn.model_type.name, type="checkboxgroup", label="Model types"),
-            ColumnFilter(AutoEvalColumn.precision.name, type="checkboxgroup", label="Precision"),
-            ColumnFilter(
-                AutoEvalColumn.params.name,
-                type="slider",
-                min=0.01,
-                max=150,
-                label="Select the number of parameters (B)",
-            ),
-            ColumnFilter(
-                AutoEvalColumn.still_on_hub.name, type="boolean", label="Deleted/incomplete", default=True
-            ),
-        ],
-        bool_checkboxgroup_label="Hide models",
-        interactive=False,
-    )
-
-
-demo = gr.Blocks(css=custom_css)
-with demo:
-    gr.HTML(TITLE)
-    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
-
-    with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
-            leaderboard = init_leaderboard(LEADERBOARD_DF)
-
-        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
-            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
-
-        with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
-            with gr.Column():
-                with gr.Row():
-                    gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
-
-                with gr.Column():
-                    with gr.Accordion(
-                        f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            finished_eval_table = gr.components.Dataframe(
-                                value=finished_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-                    with gr.Accordion(
-                        f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            running_eval_table = gr.components.Dataframe(
-                                value=running_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-
-                    with gr.Accordion(
-                        f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
-                        open=False,
-                    ):
-                        with gr.Row():
-                            pending_eval_table = gr.components.Dataframe(
-                                value=pending_eval_queue_df,
-                                headers=EVAL_COLS,
-                                datatype=EVAL_TYPES,
-                                row_count=5,
-                            )
-            with gr.Row():
-                gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
-
-            with gr.Row():
-                with gr.Column():
-                    model_name_textbox = gr.Textbox(label="Model name")
-                    revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
-                    model_type = gr.Dropdown(
-                        choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
-                        label="Model type",
-                        multiselect=False,
-                        value=None,
-                        interactive=True,
-                    )
-
-                with gr.Column():
-                    precision = gr.Dropdown(
-                        choices=[i.value.name for i in Precision if i != Precision.Unknown],
-                        label="Precision",
-                        multiselect=False,
-                        value="float16",
-                        interactive=True,
-                    )
-                    weight_type = gr.Dropdown(
-                        choices=[i.value.name for i in WeightType],
-                        label="Weights type",
-                        multiselect=False,
-                        value="Original",
-                        interactive=True,
-                    )
-                    base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
-
-            submit_button = gr.Button("Submit Eval")
-            submission_result = gr.Markdown()
-            submit_button.click(
-                add_new_eval,
-                [
-                    model_name_textbox,
-                    base_model_name_textbox,
-                    revision_name_textbox,
-                    precision,
-                    weight_type,
-                    model_type,
-                ],
-                submission_result,
-            )
+import json
+import os
+
+# File to store data
+DATA_FILE = 'data.json'
+
+# Initialize data if file doesn't exist
+if not os.path.exists(DATA_FILE):
+    with open(DATA_FILE, 'w') as f:
+        json.dump({'spaces': [], 'tags': []}, f)
+
+# Helper functions to read and write data
+def load_data():
+    with open(DATA_FILE, 'r') as f:
+        return json.load(f)
+
+def save_data(data):
+    with open(DATA_FILE, 'w') as f:
+        json.dump(data, f, indent=4)
+
+# Function to display spaces
+def display_spaces(filter_tag=None, filter_status=None):
+    data = load_data()
+    spaces = data['spaces']
+    tags = data['tags']
+
+    # Apply filters if any
+    if filter_tag:
+        spaces = [s for s in spaces if filter_tag in s['tags']]
+    if filter_status and filter_status != 'All':
+        spaces = [s for s in spaces if s['status'] == filter_status]
+
+    # Generate HTML for spaces
+    html = ''
+    for space in spaces:
+        html += f'''
+        <div style="border:1px solid #ccc; padding:10px; margin:10px; width:300px; display:inline-block; vertical-align:top;">
+            <h3>{space['name']}</h3>
+            <p><strong>Status:</strong> {space['status']}</p>
+            <p><strong>Tags:</strong> {', '.join(space['tags'])}</p>
+            <p>{space['description']}</p>
+            <a href="{space['link']}" target="_blank">Open Link</a><br><br>
+            <button onclick="edit_space('{space['id']}')">Edit</button>
+            <button onclick="delete_space('{space['id']}')">Delete</button>
+        </div>
+        '''
+    if not html:
+        html = '<p>No spaces available.</p>'
+    return html
+
+# Function to add/edit a space
+def save_space(id, name, description, link, status, tags, parent_id):
+    data = load_data()
+    space = {
+        'id': id or str(len(data['spaces']) + 1),
+        'name': name,
+        'description': description,
+        'link': link,
+        'status': status,
+        'tags': tags.split(',') if tags else [],
+        'parent_id': parent_id
+    }
+    if id:
+        # Edit existing space
+        data['spaces'] = [s for s in data['spaces'] if s['id'] != id]
+    data['spaces'].append(space)
+    save_data(data)
+    return 'Space saved successfully.'
+
+# Function to delete a space
+def delete_space(id):
+    data = load_data()
+    data['spaces'] = [s for s in data['spaces'] if s['id'] != id]
+    save_data(data)
+    return 'Space deleted successfully.'
+
+# Function to get space details for editing
+def get_space_details(id):
+    data = load_data()
+    space = next((s for s in data['spaces'] if s['id'] == id), None)
+    if space:
+        return space['name'], space['description'], space['link'], space['status'], ','.join(space['tags']), space['parent_id']
+    return '', '', '', '', '', ''
+
+# Function to manage tags
+def add_tag(name, parent_name):
+    data = load_data()
+    tag = {
+        'name': name,
+        'parent_name': parent_name or None
+    }
+    data['tags'].append(tag)
+    save_data(data)
+    return 'Tag added successfully.'
+
+# Function to get list of tags
+def get_tags():
+    data = load_data()
+    return [tag['name'] for tag in data['tags']]
+
+# Main Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Spaces Management App")
+
+    # Filters
+    with gr.Row():
+        filter_tag = gr.Dropdown(label='Filter by Tag', choices=[''] + get_tags())
+        filter_status = gr.Dropdown(label='Filter by Status', choices=['All', 'Running', 'Error'])
+
+    # Display spaces
+    spaces_html = gr.HTML()
+
+    def update_spaces(filter_tag, filter_status):
+        return display_spaces(filter_tag, filter_status)
+
+    filter_tag.change(fn=update_spaces, inputs=[filter_tag, filter_status], outputs=spaces_html)
+    filter_status.change(fn=update_spaces, inputs=[filter_tag, filter_status], outputs=spaces_html)
+
+    # Initial display
+    spaces_html.value = display_spaces()
 
+    # Add space button
     with gr.Row():
-        with gr.Accordion("📙 Citation", open=False):
-            citation_button = gr.Textbox(
-                value=CITATION_BUTTON_TEXT,
-                label=CITATION_BUTTON_LABEL,
-                lines=20,
-                elem_id="citation-button",
-                show_copy_button=True,
-            )
-
-scheduler = BackgroundScheduler()
-scheduler.add_job(restart_space, "interval", seconds=1800)
-scheduler.start()
-demo.queue(default_concurrency_limit=40).launch()
+        add_space_btn = gr.Button("Add Space")
+
+    # Modal for adding/editing space
+    with gr.Modal(title="Add/Edit Space") as modal:
+        space_id = gr.Textbox(visible=False)
+        space_name = gr.Textbox(label='Space Name')
+        space_description = gr.Textbox(label='Description', lines=3)
+        space_link = gr.Textbox(label='Link')
+        space_status = gr.Dropdown(label='Status', choices=['Running', 'Error'])
+        space_tags = gr.Textbox(label='Tags (comma separated)')
+        space_parent_id = gr.Textbox(label='Parent Space ID (optional)')
+        save_space_btn = gr.Button("Save Space")
+
+    def open_add_space():
+        return gr.update(visible=True), '', '', '', '', '', ''
+
+    add_space_btn.click(fn=open_add_space, outputs=[modal, space_id, space_name, space_description, space_link, space_status, space_tags])
+
+    def submit_space(space_id, space_name, space_description, space_link, space_status, space_tags, space_parent_id):
+        message = save_space(space_id, space_name, space_description, space_link, space_status, space_tags, space_parent_id)
+        html = display_spaces()
+        return gr.update(visible=False), html, gr.update(value=''), gr.update(value=''), gr.update(value=''), gr.update(value=''), gr.update(value=''), gr.update(value='')
+
+    save_space_btn.click(fn=submit_space, inputs=[space_id, space_name, space_description, space_link, space_status, space_tags, space_parent_id],
+                         outputs=[modal, spaces_html, space_id, space_name, space_description, space_link, space_status, space_tags])
+
+    # JavaScript functions for edit/delete
+    gr.HTML('''
+    <script>
+        function edit_space(id) {
+            fetch('/get_space_details', {
+                method: 'POST',
+                headers: {'Content-Type': 'application/json'},
+                body: JSON.stringify({'id': id})
+            }).then(response => response.json()).then(data => {
+                space_id.value = id;
+                space_name.value = data[0];
+                space_description.value = data[1];
+                space_link.value = data[2];
+                space_status.value = data[3];
+                space_tags.value = data[4];
+                space_parent_id.value = data[5];
+                modal.style.display = 'block';
+            });
+        }
+
+        function delete_space(id) {
+            if (confirm('Are you sure you want to delete this space?')) {
+                fetch('/delete_space', {
+                    method: 'POST',
+                    headers: {'Content-Type': 'application/json'},
+                    body: JSON.stringify({'id': id})
+                }).then(response => response.json()).then(data => {
+                    alert(data);
+                    location.reload();
+                });
+            }
+        }
+    </script>
+    ''')
+
+    # End of Gradio Blocks
+
+# Gradio routes for edit/delete functions
+from fastapi import FastAPI, Request
+import uvicorn
+
+app = gr.mount_gradio_app(FastAPI(), demo)
+
+@app.post("/get_space_details")
+async def get_space_details_route(request: Request):
+    req = await request.json()
+    id = req.get('id')
+    details = get_space_details(id)
+    return details
+
+@app.post("/delete_space")
+async def delete_space_route(request: Request):
+    req = await request.json()
+    id = req.get('id')
+    message = delete_space(id)
+    return message
+
+# Run the app
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0")

requirements.txt

@@ -13,4 +13,6 @@ python-dateutil
 tqdm
 transformers
 tokenizers>=0.15.0
-sentencepiece
+sentencepiece
+uvicorn
+fastapi