Test PR

.python-version

@@ -1 +0,0 @@
-3.11

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.11
+FROM python:3.11-slim
 
 # Set working directory
 WORKDIR /app
@@ -6,6 +6,7 @@ WORKDIR /app
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
     git \
+    mc \
     && rm -rf /var/lib/apt/lists/*
 
 # Copy project files
@@ -14,6 +15,7 @@ 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 .
@@ -24,10 +26,12 @@ USER appuser
 
 # Expose port
 EXPOSE 8000
+EXPOSE 443
 
 # 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 ["python", "app.py"] 
+CMD ["-c"] 

app.py

@@ -11,13 +11,21 @@ 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()
 
 # Configuration
 WEBHOOK_SECRET = os.getenv("WEBHOOK_SECRET", "your-webhook-secret")
 HF_TOKEN = os.getenv("HF_TOKEN")
-HF_MODEL = os.getenv("HF_MODEL", "Qwen/Qwen2.5-72B-Instruct")
+HF_MODEL = os.getenv("HF_MODEL", "microsoft/DialoGPT-medium")
 # Use a valid provider literal from the documentation
 DEFAULT_PROVIDER: Literal["hf-inference"] = "hf-inference"
 HF_PROVIDER = os.getenv("HF_PROVIDER", DEFAULT_PROVIDER)
@@ -83,13 +91,14 @@ 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,
@@ -108,7 +117,9 @@ 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:
@@ -518,7 +529,8 @@ 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=True)
+    uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=False)

mcp_server.py

@@ -10,6 +10,13 @@ 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
@@ -26,7 +33,7 @@ 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)
@@ -35,6 +42,7 @@ def get_current_tags(repo_id: str) -> str:
 
     try:
         print(f"📡 Fetching model info for: {repo_id}")
+        loggerS.info('📡 MCP Server-Fetching model info for: %', {repo_id})
         info = model_info(repo_id=repo_id, token=HF_TOKEN)
         current_tags = info.tags if info.tags else []
         print(f"🏷️ Found {len(current_tags)} tags: {current_tags}")
@@ -61,7 +69,7 @@ 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)
@@ -181,4 +189,5 @@ This PR adds the `{new_tag}` tag to the model repository.
 
 
 if __name__ == "__main__":
+    loggerS.info('main mcp-server')
     mcp.run()