app.py

from transformers import AutoTokenizer, AutoModelForCausalLM
from transformers import pipeline
import gradio as gr

# messages = [
#     {"role": "user", "content": "Who are you?"},
# ]
# pipe = pipeline("text-generation", model="meta-llama/Llama-3.2-3B-Instruct")
# pipe(messages)
chatbot = pipeline("conversational", model="microsoft/DialoGPT-medium")

# tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.2-3B-Instruct")
# model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct")

def chat_with_bot(user_input):
    # Generate a response from the chatbot model
    response = chatbot(user_input)
    return response[0]['generated_text'] 

interface = gr.Interface(
    fn=chat_with_bot,  # Function to call for processing the input
    inputs=gr.Textbox(label="Enter your message"),  # User input (text)
    outputs=gr.Textbox(label="Chatbot Response"),  # Model output (text)
    title="Chat with DialoGPT",  # Optional: Add a title to your interface
    description="Chat with an AI model powered by DialoGPT!"  # Optional: Add a description
)

interface.launch()