app.py

import gradio as gr
import requests
import json
from smolagents import CodeAgent
import logging
from tenacity import retry, stop_after_attempt, wait_exponential

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

HF_SPACE_URL = "https://manavraj-troubleshoot-mcp.hf.space"

@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
def call_mcp_server(message: str, tool_type: str = "knowledge_base") -> str:
    """Call MCP server endpoint"""
    try:
        endpoint = f"{HF_SPACE_URL}/gradio_api/mcp/sse"
        response = requests.post(
            endpoint,
            json={
                "tool": tool_type,
                "input": message
            },
            stream=True,
            timeout=30
        )
        response.raise_for_status()
        
        for line in response.iter_lines():
            if line.startswith(b'data:'):
                return json.loads(line[5:])["output"]
                
        return "No response received from MCP server"
    except Exception as e:
        logger.error(f"API call failed: {str(e)}")
        return f"Error: {str(e)}"

agent = CodeAgent(
    tools=[],
    model="microsoft/DialoGPT-medium",
    system_prompt="""{{authorized_imports}}
- requests for API calls
- standard Python libraries
{{managed_agents_descriptions}}
You are a Technical Support Assistant with these capabilities:
1. Troubleshooting technical issues
2. Finding information via web search
3. Formatting instructions
Access tools through MCP server:
- knowledge_base: For technical issues
- web_search: For information lookup
- formatter: To organize steps
Response workflow:
1. Analyze user request
2. Choose appropriate tool
3. Return clear response
Example:
USER: My wifi disconnected
THOUGHT: Should use knowledge_base
ACTION: knowledge_base("wifi disconnection")
RESPONSE: Try these steps: [solution steps]
Never show internal workflow to user."""
)

def chat_interface(message: str, history: list) -> str:
    """Handle chat interaction"""
    try:
        response = agent.run(message)
        if "ACTION:" in response:
            tool_call = response.split("ACTION:")[1].split("(")[0].strip()
            input_text = response.split("(")[1].split(")")[0].strip('"')
            return call_mcp_server(input_text, tool_call)
        return response
    except Exception as e:
        logger.error(f"Chat error: {str(e)}")
        return f"Error: {str(e)}"

demo = gr.ChatInterface(
    fn=chat_interface,
    title="🔧 Technical Support",
    examples=["Wifi not working", "Find Windows 11 specs", "Format: Turn off. Wait. Restart"]
)

if __name__ == "__main__":
    demo.launch()