app.py

import gradio as gr
import requests
import os  # Import os to access environment variables

# Retrieve the API key securely from Hugging Face Secrets
GROQ_API_KEY = os.getenv("myapi")

# Ensure API key is set
if not GROQ_API_KEY:
    raise ValueError("Error: GROQ_API_KEY is missing! Check your Hugging Face secret settings.")

# Groq API URL
GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"

# Function to interact with Groq API
def chat_with_groq(prompt, history):
    headers = {"Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json"}

    # System role for chatbot identity
    messages = [{"role": "system", "content": "You are Faraz-Chatbot, an AI assistant created by Muhammad Faraz."}]

    # Ensure history is in the correct format
    for entry in history:
        if isinstance(entry, list) and len(entry) == 2:
            user_msg, bot_msg = entry
            messages.append({"role": "user", "content": user_msg})
            messages.append({"role": "assistant", "content": bot_msg})

    # Add the latest user query
    messages.append({"role": "user", "content": prompt})  

    # Custom response when asked about the owner
    if "who is your owner" in prompt.lower() or "who created you" in prompt.lower():
        return "I was created by Muhammad Faraz, a passionate developer!"

    payload = {"model": "llama3-8b-8192", "messages": messages}  

    try:
        response = requests.post(GROQ_API_URL, headers=headers, json=payload)
        response_data = response.json()

        if response.status_code == 200:
            return response_data["choices"][0]["message"]["content"]
        else:
            return f"API Error: {response_data.get('error', {}).get('message', 'Unknown error')}"
    
    except Exception as e:
        return f"Exception Error: {str(e)}"

# Function to handle chatbot responses
def chatbot(query, history):
    if not query.strip():
        return history, ""  

    response = chat_with_groq(query, history)
    history = history + [[query, response]]
    
    return history, ""  

# Gradio Interface
with gr.Blocks() as demo:
    gr.HTML("<h1 style='text-align: center; color: #00FF00; font-family: monospace;'>☠️ FARAZ-CHATBOT ☠️</h1>")
    gr.HTML("<p style='text-align: center; font-size: 18px;'>🤖 How can I help you?</p>")

    chatbot_interface = gr.Chatbot()
    user_input = gr.Textbox(placeholder="Ask me anything...", show_label=False)

    history = gr.State([])

    user_input.submit(fn=chatbot, inputs=[user_input, history], outputs=[chatbot_interface, user_input])

# Launch the chatbot
demo.launch()