app.py

import gradio as gr
from transformers import pipeline

# Initialize your chatbot model here with LLaMA-2
model_name = "Llama-2-7b"  # Adjust this to the specific variant of LLaMA-2 you wish to use
chatbot = pipeline("text-generation", model=model_name, use_auth_token="ZEN")

def chat_with_bot(user_input):
    # Generating a response from the chatbot model
    responses = chatbot(user_input, max_length=800, num_return_sequences=1)
    return responses[0]["generated_text"]

# Setting up the Gradio interface
iface = gr.Interface(fn=chat_with_bot,
                     inputs=gr.inputs.Textbox(lines=2, placeholder="Type your question here..."),
                     outputs="text",
                     title="Advanced Chatbot",
                     description="This is an advanced chatbot powered by LLaMA-2. Type your question and get an answer.")

if __name__ == "__main__":
    iface.launch()