app.py

import os
import gradio as gr
from huggingface_hub import InferenceClient

def analyze(project_data, question):
    try:
        api_key = os.getenv("HF_API_KEY")
        client = InferenceClient(
            model="Qwen/Qwen2.5-72B-Instruct",
            token=api_key
        )
    
        prompt = f"Analyze this project: {project_data}\n\nQuestion: {question}"
    
        response = client.text_generation(
            prompt,
            max_new_tokens=1000,
            temperature=0.7,
            top_p=0.95,
            repetition_penalty=1.1,
            do_sample=True
        )
    
        return response
        
    except Exception as e:
        print(f"Error details: {str(e)}")
        return f"Error occurred: {str(e)}"
        
iface = gr.Interface(
    fn=analyze,
    inputs=[
        gr.Textbox(label="Project Data"),
        gr.Textbox(label="Question")
    ],
    api_name="analyze",
    outputs="text"
)

# Configure for external access
iface.launch(
    server_name="0.0.0.0",  # Allow external connections
    share=True,             # Create public URL
    allowed_paths=["*"],     # Allow CORS
)