app.py

import gradio as gr
from transformers import pipeline

# Load your AI model
# Replace 'model_name' with the name of your chosen model from Hugging Face
model_name = "EleutherAI/gpt-neo-1.3B"  # Example: GPT-Neo 1.3B
generator = pipeline('text-generation', model=model_name)

# Define a function to generate text
def generate_text(prompt):
    # Generate text using the model
    output = generator(prompt, max_length=50, num_return_sequences=1)
    return output[0]['generated_text']

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_text,  # Function to call
    inputs="text",     # Input type (text box)
    outputs="text",    # Output type (text box)
    title="Text Generation with GPT-Neo",  # Title of the interface
    description="Enter a prompt and let the AI generate text for you!"
)

# Launch the interface
iface.launch()