app.py

import gradio as gr
from transformers import pipeline

# Load a Hugging Face-hosted model for text generation
#generator = pipeline("text-generation", model="tiiuae/falcon-7b-instruct", max_new_tokens=200)
generator = pipeline("text-generation", model="microsoft/phi-2", max_new_tokens=200)

def chat_with_agent(user_input):
    
    prompt = f"Q: {user_input}\nA:"
    response = generator(prompt, do_sample=True, temperature=0.7)
    return response[0]["generated_text"]

iface = gr.Interface(
    fn=chat_with_agent,
    inputs=gr.Textbox(lines=2, placeholder="Ask me anything..."),
    outputs="text",
    title="Hugging Face Agent",
    description="Chat with an open-source language model hosted on Hugging Face."
)

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