app.py

import os
import requests
import gradio as gr

# Get Groq API key from Hugging Face secrets
groq_api_key = os.environ.get("GROQ_API_KEY")
if not groq_api_key:
    raise ValueError("Please set the GROQ_API_KEY in the Hugging Face Space secrets.")

# Groq API configuration
url = "https://api.groq.com/openai/v1/chat/completions"
headers = {
    "Authorization": f"Bearer {groq_api_key}"
}

# Prompt template
template = """
You are a friendly and professional customer service assistant for a telecom company.
Respond to the customer's issue below with empathy and clear steps, especially for roaming support.

Customer Query: {query}

Your Response:
"""

# Core function to query the API
def generate_response(user_query):
    structured_prompt = template.format(query=user_query)
    body = {
        "model": "llama-3.1-8b-instant",
        "messages": [{"role": "user", "content": structured_prompt}]
    }

    response = requests.post(url, headers=headers, json=body)
    if response.status_code == 200:
        return response.json()['choices'][0]['message']['content'], "✅ Success"
    else:
        return f"Error {response.status_code}: {response.text}", "❌ Failed"

# Gradio app using Blocks layout
with gr.Blocks() as demo:
    gr.Markdown("## 📡 Telecom Support Assistant powered by Groq API")
    gr.Markdown(
        "Enter your customer service query below. The AI assistant will respond with a helpful and empathetic reply, especially for **roaming issues**."
    )

    with gr.Row():
        with gr.Column(scale=2):
            user_input = gr.Textbox(
                lines=5,
                label="Customer Query",
                placeholder="e.g., My SIM card stopped working while traveling abroad."
            )
            submit_btn = gr.Button("Generate Response")
        with gr.Column(scale=3):
            status_output = gr.Textbox(label="Status", interactive=False)
            response_output = gr.Textbox(label="AI Response", lines=10)

    submit_btn.click(
        fn=generate_response,
        inputs=user_input,
        outputs=[response_output, status_output]
    )

demo.launch()