app.py

import gradio as gr
import requests
import os

def chat(message, history):
    API_URL = "https://api-inference.huggingface.co/models/bitext/Mistral-7B-Customer-Support"
    headers = {"Authorization": f"Bearer {os.getenv('HF_TOKEN')}"}
    
    # Format the message for the API
    payload = {"inputs": message}
    
    try:
        response = requests.post(API_URL, headers=headers, json=payload, timeout=30)
        if response.status_code == 200:
            result = response.json()
            if isinstance(result, list) and len(result) > 0:
                return result[0]["generated_text"]
            else:
                return "Sorry, I couldn't generate a response."
        else:
            return f"API Error: {response.status_code}"
    except Exception as e:
        return f"Error: {str(e)}"

# Create Gradio interface
demo = gr.ChatInterface(
    fn=chat,
    title="AI Customer Service Chatbot",
    description="Powered by Mistral-7B Customer Support (via Hugging Face API)",
    examples=[
        ["How can I reset my password?"],
        ["What are your return policies?"],
        ["I need help with my order"],
        ["What payment methods do you accept?"]
    ]
)

demo.launch()