!pip install Groq
import os
from groq import Groq
import gradio as gr
import logging

os.environ["GROQ_API_KEY"] = "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"

logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)

# Initialize the Groq client
api_key = os.environ.get("GROQ_API_KEY")
if not api_key:
    logger.error("GROQ_API_KEY environment variable is not set.")
    raise ValueError("GROQ_API_KEY environment variable is required.")
client = Groq(api_key=api_key)

MODEL_NAME = os.environ.get("MODEL_NAME", "llama3-8b-8192")

# Define a function to handle chat completions
def get_completion(user_input):
    if not user_input.strip():
        return "Please enter a valid query."
    
    # Check if the user asks "Who made you?"
    if "who made you" in user_input.lower():
        return "I was created by Thirumoorthi, a brilliant mind working on AI systems!"
    
    try:
        completion = client.chat.completions.create(
            model=MODEL_NAME,
            messages=[
                {"role": "system", "content": "You are a friendly and helpful assistant, like ChatGPT."},
                {"role": "user", "content": user_input}
            ],
            temperature=0.7,  # Slightly lower temperature for more controlled responses
            max_tokens=1024,
            top_p=1,
            stream=True,
            stop=None,
        )
        
        response = ""
        for chunk in completion:
            response += chunk.choices[0].delta.content or ""
        
        return response.strip()  # Clean up response
    except Exception as e:
        logger.error(f"Error during completion: {e}")
        return "Sorry, I encountered an error while processing your request."

# Launch Gradio interface
def launch_interface():
    demo = gr.Interface(
        fn=get_completion,
        inputs=gr.Textbox(
            label="Ask me anything:",
            placeholder="I am here to help! Ask away...",
            lines=2,
            max_lines=5,
            show_label=True,
            interactive=True
        ),
        outputs=gr.Textbox(
            label="Response:",
            interactive=False,
            show_label=True,
            lines=6,
            max_lines=10
        ),
        title="Chat with Mr AI",
        description="I am your friendly assistant, just like ChatGPT! Ask me anything, and I will do my best to help.",
        theme="huggingface",  # More modern theme
        css="""
            .gr-box { border-radius: 15px; border: 1px solid #e1e1e1; padding: 20px; background-color: #f9f9f9; }
            .gr-button { background-color: #4CAF50; color: white; font-size: 14px; }
            .gr-textbox { border-radius: 8px; font-size: 16px; padding: 10px; }
            .gr-output { background-color: #f1f1f1; border-radius: 8px; font-size: 16px; padding: 15px; }
        """,
        allow_flagging="never",
        live=True,  # Enable live updates if supported
    )
    
    logger.info("Starting Gradio interface")
    demo.launch(share=True)

if __name__ == "__main__":
    launch_interface()