app.py

import gradio as gr
from transformers import pipeline

# Load the pre-trained model
generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")

# Define Gradio interface
def generate_response(prompt):
    # Generate response based on the prompt
    response = generator(prompt, max_length=50, do_sample=True, temperature=0.9)
    return response[0]['generated_text']

# Create Gradio interface
iface = gr.Interface(
    fn=generate_response,
    inputs="text",
    outputs="text",
    title="OpenAI Text Generation Model",
    description="Enter a prompt and get a generated text response.",
)

# Deploy the Gradio interface
iface.launch(share=True)