restore from original

hf -
Signed-off-by: apple muncy <apple@llama-3.local>

Dockerfile

@@ -6,8 +6,6 @@ WORKDIR /app
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
     git \
-    mc \
-    fonts-dejavu-web \	
     && rm -rf /var/lib/apt/lists/*
 
 # Copy project files
@@ -16,7 +14,6 @@ COPY server.py .
 COPY mcp_server.py .
 COPY env.example .
 COPY README.md .
-COPY tag.log .
 
 # Install Python dependencies
 RUN pip install --no-cache-dir -e .
@@ -27,16 +24,10 @@ USER appuser
 
 # Expose port
 EXPOSE 8000
-EXPOSE 443
-EXPOSE 7860
-EXPOSE 7861
-EXPOSE 7862
-EXPOSE 7863
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
     CMD curl -f http://localhost:8000/ || exit 1
 
-ENTRYPOINT ["python", "app.py"]
 # Run the application
-CMD ["-c"] 
+CMD ["python", "server.py"] 

README.md

@@ -4,7 +4,7 @@ emoji: 👀
 colorFrom: purple
 colorTo: yellow
 sdk: gradio
-sdk_version: 5.34.2
+sdk_version: 5.31.0
 app_file: app.py
 pinned: false
 base_path: /gradio

app.py

@@ -3,7 +3,7 @@ import re
 import json
 from datetime import datetime
 from typing import List, Dict, Any, Optional, Literal
-import copy
+
 from fastapi import FastAPI, Request, BackgroundTasks
 from fastapi.middleware.cors import CORSMiddleware
 import gradio as gr
@@ -11,14 +11,6 @@ import uvicorn
 from pydantic import BaseModel
 from huggingface_hub.inference._mcp.agent import Agent
 from dotenv import load_dotenv
-#add logging
-import logging
-logger = logging.getLogger(__name__)
-logging.basicConfig(filename='/home/user/tag.log', encoding='utf-8', level=logging.DEBUG)
-logger.debug('This message should go to the log file')
-logger.info('So should this')
-logger.warning('And this, too')
-logger.error('And non-ASCII stuff, too, like Øresund and Malmö')
 
 load_dotenv()
 
@@ -30,14 +22,6 @@ HF_MODEL = os.getenv("HF_MODEL", "Qwen/Qwen2.5-72B-Instruct")
 DEFAULT_PROVIDER: Literal["hf-inference"] = "hf-inference"
 HF_PROVIDER = os.getenv("HF_PROVIDER", DEFAULT_PROVIDER)
 
-#global variables for gradio display
-g_payload=[]
-
-g_payload.append("Space holder")
-
-def fn_payload(g_payload):
-    return g_payload
-
 # Simple storage for processed tag operations
 tag_operations_store: List[Dict[str, Any]] = []
 
@@ -81,7 +65,7 @@ RECOGNIZED_TAGS = {
     "computer-vision",
     "nlp",
     "cv",
-    "multimodal"
+    "multimodal",
 }
 
 
@@ -92,26 +76,20 @@ class WebhookEvent(BaseModel):
     repo: Dict[str, str]
 
 
-my_app = FastAPI(title="HF Tagging Bot")
-
-@my_app.get("/")
-def read_main():
-    return {"message": "This is your main app"}
-
-my_app.add_middleware(CORSMiddleware, allow_origins=["*"])
+app = FastAPI(title="HF Tagging Bot")
+app.add_middleware(CORSMiddleware, allow_origins=["*"])
 
 
 async def get_agent():
     """Get or create Agent instance"""
     print("🤖 get_agent() called...")
-    logger.info('get_agent() called...')
     global agent_instance
     if agent_instance is None and HF_TOKEN:
         print("🔧 Creating new Agent instance...")
         print(f"🔑 HF_TOKEN present: {bool(HF_TOKEN)}")
         print(f"🤖 Model: {HF_MODEL}")
         print(f"🔗 Provider: {DEFAULT_PROVIDER}")
-        logger.info('Creating new Agent instance...')
+
         try:
             agent_instance = Agent(
                 model=HF_MODEL,
@@ -130,9 +108,7 @@ async def get_agent():
                 ],
             )
             print("✅ Agent instance created successfully")
-            logger.info('Agent instance created successfully')
             print("🔧 Loading tools...")
-            logger.info('Loading tools...')
             await agent_instance.load_tools()
             print("✅ Tools loaded successfully")
         except Exception as e:
@@ -147,9 +123,6 @@ async def get_agent():
 
 
 def extract_tags_from_text(text: str) -> List[str]:
-
-    g_payload.append(text)
-    print(f"Tag string: {text}" )
     """Extract potential tags from discussion text"""
     text_lower = text.lower()
 
@@ -182,10 +155,8 @@ def extract_tags_from_text(text: str) -> List[str]:
     valid_tags = []
     for tag in all_tags:
         if tag in RECOGNIZED_TAGS or tag in explicit_tags:
-            valid_tags.append(tag.replace("'", '"'))
+            valid_tags.append(tag)
 
-   
-    print(f"valid tags: {valid_tags}")
     return valid_tags
 
 
@@ -234,7 +205,7 @@ async def process_webhook_comment(webhook_data: Dict[str, Any]):
                 try:
                     # Create a comprehensive prompt for the agent
                     user_prompt = f"""
-I need to add the following tags to the repository "{repo_name}": {", ".join(all_tags)}
+I need to add the following tags to the repository '{repo_name}': {", ".join(all_tags)}
 
 For each tag, please:
 1. Check if the tag already exists on the repository using get_current_tags
@@ -398,7 +369,7 @@ Please process all {len(all_tags)} tags: {", ".join(all_tags)}
             "original_comment": comment_content,
             "comment_author": comment_author,
             "detected_tags": all_tags,
-            "results": result_messages
+            "results": result_messages,
         }
 
         tag_operations_store.append(interaction)
@@ -411,7 +382,8 @@ Please process all {len(all_tags)} tags: {", ".join(all_tags)}
         print(error_msg)
         return error_msg
 
-@my_app.post("/webhook")
+
+@app.post("/webhook")
 async def webhook_handler(request: Request, background_tasks: BackgroundTasks):
     """Handle HF Hub webhooks"""
     webhook_secret = request.headers.get("X-Webhook-Secret")
@@ -421,7 +393,7 @@ async def webhook_handler(request: Request, background_tasks: BackgroundTasks):
 
     payload = await request.json()
     print(f"📥 Received webhook payload: {json.dumps(payload, indent=2)}")
-    g_payload.append(payload)
+
     event = payload.get("event", {})
     scope = event.get("scope")
     action = event.get("action")
@@ -503,7 +475,7 @@ def create_gradio_app():
         - Supports common ML tags like: pytorch, tensorflow, 
           text-generation, etc.
         """)
-        
+
         with gr.Column():
             sim_repo = gr.Textbox(
                 label="Repository",
@@ -539,65 +511,14 @@ def create_gradio_app():
 
     return demo
 
-def create_dashboard():
-    """Create Gradio interface"""
-    with gr.Blocks(title="HF Tagging Bot", theme=gr.themes.Soft()) as demo:
-        gr.Markdown("# 🏷️ HF Tagging Bot Additional Dashboard")
-        gr.Markdown("*Display MCP data*")
-
-        gr.Markdown("""
-        ## How it works:
-        - Monitors HuggingFace Hub discussions
-        - Detects tag mentions in comments (e.g., "tag: pytorch", 
-          "#transformers")
-        - Automatically adds recognized tags to the model repository
-        - Supports common ML tags like: pytorch, tensorflow, 
-          text-generation, etc.
-        """)
-        gr.Textbox(
-            label="Text to extract tag from",
-            value=g_payload,
-            placeholder="payload"
-        )
-
-        with gr.Column():
-            sim_repo = gr.Textbox(
-                label="Payload",
-                value="burtenshaw/play-mcp-repo-bot",
-                placeholder="username/model-name",
-            )
-            sim_title = gr.Textbox(
-                label="Discussion Title",
-                value="Add pytorch tag",
-                placeholder="Discussion title"
-            )
-            sim_comment = gr.Textbox(
-                label="Comment",
-                lines=3,
-                value="This model should have tags: pytorch, text-generation",
-                placeholder="Comment mentioning tags..."
-            )
-            sim_btn = gr.Button("🏷️ Test Tag Detection")
-            gr.Markdown(f"""
-            ## Recognized Tags:
-            {g_payload}
-            """)
-
-
-    return demo
-
-
-
 
 # Mount Gradio app
 gradio_app = create_gradio_app()
-dashboard_ui = create_dashboard()
-app = gr.mount_gradio_app(my_app, gradio_app, path="/gradio")
-app2 = gr.mount_gradio_app(my_app, dashboard_ui, path="/dashboard")
+app = gr.mount_gradio_app(app, gradio_app, path="/gradio")
+
 
 if __name__ == "__main__":
-    logger.info('🚀 Starting HF Tagging Bot...')
     print("🚀 Starting HF Tagging Bot...")
     print("📊 Dashboard: http://localhost:7860/gradio")
     print("🔗 Webhook: http://localhost:7860/webhook")
-    uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=False)
+    uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=True)

mcp_server.py

@@ -10,13 +10,6 @@ from huggingface_hub import HfApi, model_info, ModelCard, ModelCardData
 from huggingface_hub.utils import HfHubHTTPError
 from dotenv import load_dotenv
 
-#adding logger"🚀 Starting HF Tagging Bot...
-import logging
-loggerS = logging.getLogger(__name__)
-logging.basicConfig(filename='/home/user/Stag.log', encoding='utf-8', level=logging.DEBUG)
-#for testing logger
-loggerS.debug('MCP-server, This message should go to the log file')
-
 load_dotenv()
 
 # Configuration
@@ -33,7 +26,7 @@ mcp = FastMCP("hf-tagging-bot")
 def get_current_tags(repo_id: str) -> str:
     """Get current tags from a HuggingFace model repository"""
     print(f"🔧 get_current_tags called with repo_id: {repo_id}")
-    loggerS.info('🔧 MCP Server-get_current_tags called with repo_id %s', {repo_id})
+
     if not hf_api:
         error_result = {"error": "HF token not configured"}
         json_str = json.dumps(error_result)
@@ -68,7 +61,7 @@ def get_current_tags(repo_id: str) -> str:
 def add_new_tag(repo_id: str, new_tag: str) -> str:
     """Add a new tag to a HuggingFace model repository via PR"""
     print(f"🔧 add_new_tag called with repo_id: {repo_id}, new_tag: {new_tag}")
-    loggerS.info('Server-Add a new tag')
+
     if not hf_api:
         error_result = {"error": "HF token not configured"}
         json_str = json.dumps(error_result)
@@ -188,5 +181,4 @@ This PR adds the `{new_tag}` tag to the model repository.
 
 
 if __name__ == "__main__":
-    loggerS.info('main mcp-server')
     mcp.run()

pyproject.toml

@@ -5,15 +5,15 @@ description = "FastAPI and Gradio app for Hugging Face Hub discussion webhooks"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
-    "fastapi",
-    "uvicorn[standard]>",
-    "gradio",
-    "huggingface-hub[mcp]",
-    "pydantic",
-    "python-multipart",
-    "requests",
-    "python-dotenv",
-    "fastmcp",
+    "fastapi>=0.104.0",
+    "uvicorn[standard]>=0.24.0",
+    "gradio>=4.0.0",
+    "huggingface-hub[mcp]>=0.32.0",
+    "pydantic>=2.0.0",
+    "python-multipart>=0.0.6",
+    "requests>=2.31.0",
+    "python-dotenv>=1.0.0",
+    "fastmcp>=2.0.0",
 ]
 
 [build-system]

requirements.txt

@@ -1,75 +1,77 @@
-aiofiles
-aiohappyeyeballs
-aiohttp
-aiosignal
-annotated-types
-anyio
-attrs
+# This file was autogenerated by uv via the following command:
+#    uv export --format requirements-txt --no-hashes
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.2
+aiosignal==1.3.2
+annotated-types==0.7.0
+anyio==4.9.0
+attrs==25.3.0
 audioop-lts==0.2.1 ; python_full_version >= '3.13'
-certifi
-charset-normalizer
-click
-colorama ; sys_platform == 'win32' or platform_system == 'Windows'
-exceptiongroup
-fastapi
-fastmcp
-ffmpy
-filelock
-frozenlist
-fsspec
-gradio
-gradio-client
-groovy
-h11
-hf-xet ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
-httpcore
-httptools
-httpx
-httpx-sse
-huggingface-hub
-idna
-jinja2
-markdown-it-py
-markupsafe
-mcp
-mdurl
-multidict
-numpy
-openapi-pydantic
-orjson
-packaging
-pandas
-pillow
-propcache
-pydantic
-pydantic-core
-pydantic-settings
-pydub
-pygments
-python-dateutil
-python-dotenv
-python-multipart
-pytz
-pyyaml
-requests
-rich
-ruff ; sys_platform != 'emscripten'
-safehttpx
-semantic-version
-shellingham
-six
-sniffio
-sse-starlette
-starlette
-tomlkit
-tqdm
-typer
-typing-extensions
-typing-inspection
-tzdata
-urllib3
-uvicorn
-uvloop ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32'
-watchfiles
-websockets
-yarl
+certifi==2025.4.26
+charset-normalizer==3.4.2
+click==8.2.1
+colorama==0.4.6 ; sys_platform == 'win32' or platform_system == 'Windows'
+exceptiongroup==1.3.0
+fastapi==0.115.12
+fastmcp==2.5.1
+ffmpy==0.5.0
+filelock==3.18.0
+frozenlist==1.6.0
+fsspec==2025.5.1
+gradio==5.31.0
+gradio-client==1.10.1
+groovy==0.1.2
+h11==0.16.0
+hf-xet==1.1.2 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
+httpcore==1.0.9
+httptools==0.6.4
+httpx==0.28.1
+httpx-sse==0.4.0
+huggingface-hub==0.32.2
+idna==3.10
+jinja2==3.1.6
+markdown-it-py==3.0.0
+markupsafe==3.0.2
+mcp==1.9.1
+mdurl==0.1.2
+multidict==6.4.4
+numpy==2.2.6
+openapi-pydantic==0.5.1
+orjson==3.10.18
+packaging==25.0
+pandas==2.2.3
+pillow==11.2.1
+propcache==0.3.1
+pydantic==2.11.5
+pydantic-core==2.33.2
+pydantic-settings==2.9.1
+pydub==0.25.1
+pygments==2.19.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.0
+python-multipart==0.0.20
+pytz==2025.2
+pyyaml==6.0.2
+requests==2.32.3
+rich==14.0.0
+ruff==0.11.11 ; sys_platform != 'emscripten'
+safehttpx==0.1.6
+semantic-version==2.10.0
+shellingham==1.5.4
+six==1.17.0
+sniffio==1.3.1
+sse-starlette==2.3.5
+starlette==0.46.2
+tomlkit==0.13.2
+tqdm==4.67.1
+typer==0.16.0
+typing-extensions==4.13.2
+typing-inspection==0.4.1
+tzdata==2025.2
+urllib3==2.4.0
+uvicorn==0.34.2
+uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32'
+watchfiles==1.0.5
+websockets==15.0.1
+yarl==1.20.0