Spaces:
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apple muncy
commited on
Commit
·
3842a4e
1
Parent(s):
bd999cb
restore from original
Browse fileshf -
Signed-off-by: apple muncy <[email protected]>
- Dockerfile +1 -10
- README.md +1 -1
- app.py +15 -94
- mcp_server.py +2 -10
- pyproject.toml +9 -9
- requirements.txt +76 -74
Dockerfile
CHANGED
@@ -6,8 +6,6 @@ WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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git \
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mc \
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fonts-dejavu-web \
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&& rm -rf /var/lib/apt/lists/*
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# Copy project files
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@@ -16,7 +14,6 @@ COPY server.py .
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COPY mcp_server.py .
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COPY env.example .
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COPY README.md .
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COPY tag.log .
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# Install Python dependencies
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RUN pip install --no-cache-dir -e .
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@@ -27,16 +24,10 @@ USER appuser
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# Expose port
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EXPOSE 8000
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EXPOSE 443
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EXPOSE 7860
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EXPOSE 7861
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EXPOSE 7862
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EXPOSE 7863
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/ || exit 1
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ENTRYPOINT ["python", "app.py"]
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# Run the application
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CMD ["
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Copy project files
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COPY mcp_server.py .
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COPY env.example .
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COPY README.md .
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# Install Python dependencies
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RUN pip install --no-cache-dir -e .
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/ || exit 1
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# Run the application
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CMD ["python", "server.py"]
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README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 👀
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colorFrom: purple
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colorTo: yellow
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sdk: gradio
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-
sdk_version: 5.
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app_file: app.py
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pinned: false
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base_path: /gradio
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colorFrom: purple
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colorTo: yellow
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sdk: gradio
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+
sdk_version: 5.31.0
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app_file: app.py
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pinned: false
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base_path: /gradio
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app.py
CHANGED
@@ -3,7 +3,7 @@ import re
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import json
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from datetime import datetime
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from typing import List, Dict, Any, Optional, Literal
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-
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from fastapi import FastAPI, Request, BackgroundTasks
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from fastapi.middleware.cors import CORSMiddleware
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import gradio as gr
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@@ -11,14 +11,6 @@ import uvicorn
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from pydantic import BaseModel
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from huggingface_hub.inference._mcp.agent import Agent
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from dotenv import load_dotenv
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#add logging
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import logging
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logger = logging.getLogger(__name__)
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logging.basicConfig(filename='/home/user/tag.log', encoding='utf-8', level=logging.DEBUG)
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logger.debug('This message should go to the log file')
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logger.info('So should this')
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logger.warning('And this, too')
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logger.error('And non-ASCII stuff, too, like Øresund and Malmö')
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load_dotenv()
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@@ -30,14 +22,6 @@ HF_MODEL = os.getenv("HF_MODEL", "Qwen/Qwen2.5-72B-Instruct")
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DEFAULT_PROVIDER: Literal["hf-inference"] = "hf-inference"
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HF_PROVIDER = os.getenv("HF_PROVIDER", DEFAULT_PROVIDER)
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-
#global variables for gradio display
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g_payload=[]
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-
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g_payload.append("Space holder")
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def fn_payload(g_payload):
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return g_payload
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-
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# Simple storage for processed tag operations
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tag_operations_store: List[Dict[str, Any]] = []
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@@ -81,7 +65,7 @@ RECOGNIZED_TAGS = {
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"computer-vision",
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"nlp",
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"cv",
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"multimodal"
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}
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@@ -92,26 +76,20 @@ class WebhookEvent(BaseModel):
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repo: Dict[str, str]
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-
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-
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@my_app.get("/")
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def read_main():
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return {"message": "This is your main app"}
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-
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my_app.add_middleware(CORSMiddleware, allow_origins=["*"])
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async def get_agent():
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"""Get or create Agent instance"""
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print("🤖 get_agent() called...")
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logger.info('get_agent() called...')
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global agent_instance
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if agent_instance is None and HF_TOKEN:
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print("🔧 Creating new Agent instance...")
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print(f"🔑 HF_TOKEN present: {bool(HF_TOKEN)}")
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print(f"🤖 Model: {HF_MODEL}")
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print(f"🔗 Provider: {DEFAULT_PROVIDER}")
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-
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try:
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agent_instance = Agent(
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model=HF_MODEL,
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@@ -130,9 +108,7 @@ async def get_agent():
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],
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)
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print("✅ Agent instance created successfully")
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logger.info('Agent instance created successfully')
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print("🔧 Loading tools...")
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logger.info('Loading tools...')
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await agent_instance.load_tools()
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print("✅ Tools loaded successfully")
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except Exception as e:
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@@ -147,9 +123,6 @@ async def get_agent():
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def extract_tags_from_text(text: str) -> List[str]:
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g_payload.append(text)
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print(f"Tag string: {text}" )
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"""Extract potential tags from discussion text"""
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text_lower = text.lower()
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@@ -182,10 +155,8 @@ def extract_tags_from_text(text: str) -> List[str]:
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valid_tags = []
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for tag in all_tags:
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if tag in RECOGNIZED_TAGS or tag in explicit_tags:
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valid_tags.append(tag
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print(f"valid tags: {valid_tags}")
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return valid_tags
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@@ -234,7 +205,7 @@ async def process_webhook_comment(webhook_data: Dict[str, Any]):
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try:
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# Create a comprehensive prompt for the agent
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user_prompt = f"""
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I need to add the following tags to the repository
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For each tag, please:
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1. Check if the tag already exists on the repository using get_current_tags
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@@ -398,7 +369,7 @@ Please process all {len(all_tags)} tags: {", ".join(all_tags)}
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"original_comment": comment_content,
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"comment_author": comment_author,
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"detected_tags": all_tags,
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"results": result_messages
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}
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tag_operations_store.append(interaction)
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@@ -411,7 +382,8 @@ Please process all {len(all_tags)} tags: {", ".join(all_tags)}
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print(error_msg)
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return error_msg
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-
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async def webhook_handler(request: Request, background_tasks: BackgroundTasks):
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"""Handle HF Hub webhooks"""
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webhook_secret = request.headers.get("X-Webhook-Secret")
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payload = await request.json()
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print(f"📥 Received webhook payload: {json.dumps(payload, indent=2)}")
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event = payload.get("event", {})
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scope = event.get("scope")
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action = event.get("action")
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@@ -503,7 +475,7 @@ def create_gradio_app():
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- Supports common ML tags like: pytorch, tensorflow,
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text-generation, etc.
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""")
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-
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with gr.Column():
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sim_repo = gr.Textbox(
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label="Repository",
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@@ -539,65 +511,14 @@ def create_gradio_app():
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return demo
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def create_dashboard():
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"""Create Gradio interface"""
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with gr.Blocks(title="HF Tagging Bot", theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🏷️ HF Tagging Bot Additional Dashboard")
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gr.Markdown("*Display MCP data*")
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-
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gr.Markdown("""
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## How it works:
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- Monitors HuggingFace Hub discussions
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- Detects tag mentions in comments (e.g., "tag: pytorch",
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"#transformers")
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- Automatically adds recognized tags to the model repository
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- Supports common ML tags like: pytorch, tensorflow,
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text-generation, etc.
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""")
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gr.Textbox(
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label="Text to extract tag from",
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value=g_payload,
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placeholder="payload"
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)
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with gr.Column():
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sim_repo = gr.Textbox(
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label="Payload",
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value="burtenshaw/play-mcp-repo-bot",
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placeholder="username/model-name",
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)
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sim_title = gr.Textbox(
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label="Discussion Title",
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value="Add pytorch tag",
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placeholder="Discussion title"
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)
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sim_comment = gr.Textbox(
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label="Comment",
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lines=3,
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value="This model should have tags: pytorch, text-generation",
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placeholder="Comment mentioning tags..."
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)
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sim_btn = gr.Button("🏷️ Test Tag Detection")
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gr.Markdown(f"""
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## Recognized Tags:
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{g_payload}
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""")
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-
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-
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return demo
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-
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-
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-
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# Mount Gradio app
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gradio_app = create_gradio_app()
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-
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-
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app2 = gr.mount_gradio_app(my_app, dashboard_ui, path="/dashboard")
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if __name__ == "__main__":
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logger.info('🚀 Starting HF Tagging Bot...')
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print("🚀 Starting HF Tagging Bot...")
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print("📊 Dashboard: http://localhost:7860/gradio")
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print("🔗 Webhook: http://localhost:7860/webhook")
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uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=
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import json
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from datetime import datetime
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from typing import List, Dict, Any, Optional, Literal
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+
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from fastapi import FastAPI, Request, BackgroundTasks
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from fastapi.middleware.cors import CORSMiddleware
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import gradio as gr
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from pydantic import BaseModel
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from huggingface_hub.inference._mcp.agent import Agent
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from dotenv import load_dotenv
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load_dotenv()
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DEFAULT_PROVIDER: Literal["hf-inference"] = "hf-inference"
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HF_PROVIDER = os.getenv("HF_PROVIDER", DEFAULT_PROVIDER)
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# Simple storage for processed tag operations
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tag_operations_store: List[Dict[str, Any]] = []
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"computer-vision",
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"nlp",
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"cv",
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+
"multimodal",
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}
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repo: Dict[str, str]
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+
app = FastAPI(title="HF Tagging Bot")
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app.add_middleware(CORSMiddleware, allow_origins=["*"])
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async def get_agent():
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"""Get or create Agent instance"""
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print("🤖 get_agent() called...")
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global agent_instance
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if agent_instance is None and HF_TOKEN:
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print("🔧 Creating new Agent instance...")
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print(f"🔑 HF_TOKEN present: {bool(HF_TOKEN)}")
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print(f"🤖 Model: {HF_MODEL}")
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print(f"🔗 Provider: {DEFAULT_PROVIDER}")
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+
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try:
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agent_instance = Agent(
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model=HF_MODEL,
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],
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)
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print("✅ Agent instance created successfully")
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print("🔧 Loading tools...")
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await agent_instance.load_tools()
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print("✅ Tools loaded successfully")
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except Exception as e:
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def extract_tags_from_text(text: str) -> List[str]:
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"""Extract potential tags from discussion text"""
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text_lower = text.lower()
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valid_tags = []
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for tag in all_tags:
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if tag in RECOGNIZED_TAGS or tag in explicit_tags:
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+
valid_tags.append(tag)
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return valid_tags
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try:
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# Create a comprehensive prompt for the agent
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user_prompt = f"""
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+
I need to add the following tags to the repository '{repo_name}': {", ".join(all_tags)}
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209 |
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For each tag, please:
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211 |
1. Check if the tag already exists on the repository using get_current_tags
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369 |
"original_comment": comment_content,
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"comment_author": comment_author,
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"detected_tags": all_tags,
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+
"results": result_messages,
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}
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tag_operations_store.append(interaction)
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print(error_msg)
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return error_msg
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+
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+
@app.post("/webhook")
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387 |
async def webhook_handler(request: Request, background_tasks: BackgroundTasks):
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"""Handle HF Hub webhooks"""
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389 |
webhook_secret = request.headers.get("X-Webhook-Secret")
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393 |
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payload = await request.json()
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395 |
print(f"📥 Received webhook payload: {json.dumps(payload, indent=2)}")
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396 |
+
|
397 |
event = payload.get("event", {})
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398 |
scope = event.get("scope")
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action = event.get("action")
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|
475 |
- Supports common ML tags like: pytorch, tensorflow,
|
476 |
text-generation, etc.
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477 |
""")
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478 |
+
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with gr.Column():
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480 |
sim_repo = gr.Textbox(
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label="Repository",
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return demo
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# Mount Gradio app
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516 |
gradio_app = create_gradio_app()
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517 |
+
app = gr.mount_gradio_app(app, gradio_app, path="/gradio")
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518 |
+
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519 |
|
520 |
if __name__ == "__main__":
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521 |
print("🚀 Starting HF Tagging Bot...")
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522 |
print("📊 Dashboard: http://localhost:7860/gradio")
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523 |
print("🔗 Webhook: http://localhost:7860/webhook")
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524 |
+
uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=True)
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mcp_server.py
CHANGED
@@ -10,13 +10,6 @@ from huggingface_hub import HfApi, model_info, ModelCard, ModelCardData
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10 |
from huggingface_hub.utils import HfHubHTTPError
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11 |
from dotenv import load_dotenv
|
12 |
|
13 |
-
#adding logger"🚀 Starting HF Tagging Bot...
|
14 |
-
import logging
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15 |
-
loggerS = logging.getLogger(__name__)
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16 |
-
logging.basicConfig(filename='/home/user/Stag.log', encoding='utf-8', level=logging.DEBUG)
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17 |
-
#for testing logger
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18 |
-
loggerS.debug('MCP-server, This message should go to the log file')
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19 |
-
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20 |
load_dotenv()
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21 |
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22 |
# Configuration
|
@@ -33,7 +26,7 @@ mcp = FastMCP("hf-tagging-bot")
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33 |
def get_current_tags(repo_id: str) -> str:
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34 |
"""Get current tags from a HuggingFace model repository"""
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35 |
print(f"🔧 get_current_tags called with repo_id: {repo_id}")
|
36 |
-
|
37 |
if not hf_api:
|
38 |
error_result = {"error": "HF token not configured"}
|
39 |
json_str = json.dumps(error_result)
|
@@ -68,7 +61,7 @@ def get_current_tags(repo_id: str) -> str:
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68 |
def add_new_tag(repo_id: str, new_tag: str) -> str:
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"""Add a new tag to a HuggingFace model repository via PR"""
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70 |
print(f"🔧 add_new_tag called with repo_id: {repo_id}, new_tag: {new_tag}")
|
71 |
-
|
72 |
if not hf_api:
|
73 |
error_result = {"error": "HF token not configured"}
|
74 |
json_str = json.dumps(error_result)
|
@@ -188,5 +181,4 @@ This PR adds the `{new_tag}` tag to the model repository.
|
|
188 |
|
189 |
|
190 |
if __name__ == "__main__":
|
191 |
-
loggerS.info('main mcp-server')
|
192 |
mcp.run()
|
|
|
10 |
from huggingface_hub.utils import HfHubHTTPError
|
11 |
from dotenv import load_dotenv
|
12 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
13 |
load_dotenv()
|
14 |
|
15 |
# Configuration
|
|
|
26 |
def get_current_tags(repo_id: str) -> str:
|
27 |
"""Get current tags from a HuggingFace model repository"""
|
28 |
print(f"🔧 get_current_tags called with repo_id: {repo_id}")
|
29 |
+
|
30 |
if not hf_api:
|
31 |
error_result = {"error": "HF token not configured"}
|
32 |
json_str = json.dumps(error_result)
|
|
|
61 |
def add_new_tag(repo_id: str, new_tag: str) -> str:
|
62 |
"""Add a new tag to a HuggingFace model repository via PR"""
|
63 |
print(f"🔧 add_new_tag called with repo_id: {repo_id}, new_tag: {new_tag}")
|
64 |
+
|
65 |
if not hf_api:
|
66 |
error_result = {"error": "HF token not configured"}
|
67 |
json_str = json.dumps(error_result)
|
|
|
181 |
|
182 |
|
183 |
if __name__ == "__main__":
|
|
|
184 |
mcp.run()
|
pyproject.toml
CHANGED
@@ -5,15 +5,15 @@ description = "FastAPI and Gradio app for Hugging Face Hub discussion webhooks"
|
|
5 |
readme = "README.md"
|
6 |
requires-python = ">=3.11"
|
7 |
dependencies = [
|
8 |
-
"fastapi",
|
9 |
-
"uvicorn[standard]
|
10 |
-
"gradio",
|
11 |
-
"huggingface-hub[mcp]",
|
12 |
-
"pydantic",
|
13 |
-
"python-multipart",
|
14 |
-
"requests",
|
15 |
-
"python-dotenv",
|
16 |
-
"fastmcp",
|
17 |
]
|
18 |
|
19 |
[build-system]
|
|
|
5 |
readme = "README.md"
|
6 |
requires-python = ">=3.11"
|
7 |
dependencies = [
|
8 |
+
"fastapi>=0.104.0",
|
9 |
+
"uvicorn[standard]>=0.24.0",
|
10 |
+
"gradio>=4.0.0",
|
11 |
+
"huggingface-hub[mcp]>=0.32.0",
|
12 |
+
"pydantic>=2.0.0",
|
13 |
+
"python-multipart>=0.0.6",
|
14 |
+
"requests>=2.31.0",
|
15 |
+
"python-dotenv>=1.0.0",
|
16 |
+
"fastmcp>=2.0.0",
|
17 |
]
|
18 |
|
19 |
[build-system]
|
requirements.txt
CHANGED
@@ -1,75 +1,77 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
|
|
|
|
8 |
audioop-lts==0.2.1 ; python_full_version >= '3.13'
|
9 |
-
certifi
|
10 |
-
charset-normalizer
|
11 |
-
click
|
12 |
-
colorama ; sys_platform == 'win32' or platform_system == 'Windows'
|
13 |
-
exceptiongroup
|
14 |
-
fastapi
|
15 |
-
fastmcp
|
16 |
-
ffmpy
|
17 |
-
filelock
|
18 |
-
frozenlist
|
19 |
-
fsspec
|
20 |
-
gradio
|
21 |
-
gradio-client
|
22 |
-
groovy
|
23 |
-
h11
|
24 |
-
hf-xet ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
|
25 |
-
httpcore
|
26 |
-
httptools
|
27 |
-
httpx
|
28 |
-
httpx-sse
|
29 |
-
huggingface-hub
|
30 |
-
idna
|
31 |
-
jinja2
|
32 |
-
markdown-it-py
|
33 |
-
markupsafe
|
34 |
-
mcp
|
35 |
-
mdurl
|
36 |
-
multidict
|
37 |
-
numpy
|
38 |
-
openapi-pydantic
|
39 |
-
orjson
|
40 |
-
packaging
|
41 |
-
pandas
|
42 |
-
pillow
|
43 |
-
propcache
|
44 |
-
pydantic
|
45 |
-
pydantic-core
|
46 |
-
pydantic-settings
|
47 |
-
pydub
|
48 |
-
pygments
|
49 |
-
python-dateutil
|
50 |
-
python-dotenv
|
51 |
-
python-multipart
|
52 |
-
pytz
|
53 |
-
pyyaml
|
54 |
-
requests
|
55 |
-
rich
|
56 |
-
ruff ; sys_platform != 'emscripten'
|
57 |
-
safehttpx
|
58 |
-
semantic-version
|
59 |
-
shellingham
|
60 |
-
six
|
61 |
-
sniffio
|
62 |
-
sse-starlette
|
63 |
-
starlette
|
64 |
-
tomlkit
|
65 |
-
tqdm
|
66 |
-
typer
|
67 |
-
typing-extensions
|
68 |
-
typing-inspection
|
69 |
-
tzdata
|
70 |
-
urllib3
|
71 |
-
uvicorn
|
72 |
-
uvloop ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32'
|
73 |
-
watchfiles
|
74 |
-
websockets
|
75 |
-
yarl
|
|
|
1 |
+
# This file was autogenerated by uv via the following command:
|
2 |
+
# uv export --format requirements-txt --no-hashes
|
3 |
+
aiofiles==24.1.0
|
4 |
+
aiohappyeyeballs==2.6.1
|
5 |
+
aiohttp==3.12.2
|
6 |
+
aiosignal==1.3.2
|
7 |
+
annotated-types==0.7.0
|
8 |
+
anyio==4.9.0
|
9 |
+
attrs==25.3.0
|
10 |
audioop-lts==0.2.1 ; python_full_version >= '3.13'
|
11 |
+
certifi==2025.4.26
|
12 |
+
charset-normalizer==3.4.2
|
13 |
+
click==8.2.1
|
14 |
+
colorama==0.4.6 ; sys_platform == 'win32' or platform_system == 'Windows'
|
15 |
+
exceptiongroup==1.3.0
|
16 |
+
fastapi==0.115.12
|
17 |
+
fastmcp==2.5.1
|
18 |
+
ffmpy==0.5.0
|
19 |
+
filelock==3.18.0
|
20 |
+
frozenlist==1.6.0
|
21 |
+
fsspec==2025.5.1
|
22 |
+
gradio==5.31.0
|
23 |
+
gradio-client==1.10.1
|
24 |
+
groovy==0.1.2
|
25 |
+
h11==0.16.0
|
26 |
+
hf-xet==1.1.2 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
|
27 |
+
httpcore==1.0.9
|
28 |
+
httptools==0.6.4
|
29 |
+
httpx==0.28.1
|
30 |
+
httpx-sse==0.4.0
|
31 |
+
huggingface-hub==0.32.2
|
32 |
+
idna==3.10
|
33 |
+
jinja2==3.1.6
|
34 |
+
markdown-it-py==3.0.0
|
35 |
+
markupsafe==3.0.2
|
36 |
+
mcp==1.9.1
|
37 |
+
mdurl==0.1.2
|
38 |
+
multidict==6.4.4
|
39 |
+
numpy==2.2.6
|
40 |
+
openapi-pydantic==0.5.1
|
41 |
+
orjson==3.10.18
|
42 |
+
packaging==25.0
|
43 |
+
pandas==2.2.3
|
44 |
+
pillow==11.2.1
|
45 |
+
propcache==0.3.1
|
46 |
+
pydantic==2.11.5
|
47 |
+
pydantic-core==2.33.2
|
48 |
+
pydantic-settings==2.9.1
|
49 |
+
pydub==0.25.1
|
50 |
+
pygments==2.19.1
|
51 |
+
python-dateutil==2.9.0.post0
|
52 |
+
python-dotenv==1.1.0
|
53 |
+
python-multipart==0.0.20
|
54 |
+
pytz==2025.2
|
55 |
+
pyyaml==6.0.2
|
56 |
+
requests==2.32.3
|
57 |
+
rich==14.0.0
|
58 |
+
ruff==0.11.11 ; sys_platform != 'emscripten'
|
59 |
+
safehttpx==0.1.6
|
60 |
+
semantic-version==2.10.0
|
61 |
+
shellingham==1.5.4
|
62 |
+
six==1.17.0
|
63 |
+
sniffio==1.3.1
|
64 |
+
sse-starlette==2.3.5
|
65 |
+
starlette==0.46.2
|
66 |
+
tomlkit==0.13.2
|
67 |
+
tqdm==4.67.1
|
68 |
+
typer==0.16.0
|
69 |
+
typing-extensions==4.13.2
|
70 |
+
typing-inspection==0.4.1
|
71 |
+
tzdata==2025.2
|
72 |
+
urllib3==2.4.0
|
73 |
+
uvicorn==0.34.2
|
74 |
+
uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32'
|
75 |
+
watchfiles==1.0.5
|
76 |
+
websockets==15.0.1
|
77 |
+
yarl==1.20.0
|