app.py

import gradio as gr
from transformers import pipeline

# Create a text generation pipeline using Hugging Face Transformers
generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")

# Define the chat function
def chat(input_text):
    response = generator(input_text, max_length=50, do_sample=True)[0]["generated_text"]
    return response

# Create a Gradio interface
iface = gr.Interface(
    fn=chat,
    inputs=gr.inputs.Textbox(label="Input Text"),
    outputs=gr.outputs.Textbox(label="Response"),
    live=True,
)

# Launch the Gradio interface
iface.launch()