app.py

import gradio as gr
from transformers import pipeline

# Load Hugging Face AI model
generator = pipeline('text-generation', model='HuggingFaceH4/zephyr-7b-beta')

# Create Gradio interface
def generate_text(prompt):
    output = generator(prompt, max_length=100)[0]['generated_text']
    return output

iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
iface.launch()