app.py

import gradio as gr
from transformers import pipeline

# Load the text generation pipeline from Hugging Face
generator = pipeline("text-generation", model="gpt-2")

def generate_text(prompt):
    # Generate text based on the input prompt
    results = generator(prompt, max_length=100, num_return_sequences=1)
    return results[0]['generated_text']

# Create the Gradio interface
iface = gr.Interface(
    fn=generate_text,
    inputs=gr.inputs.Textbox(label="Input Prompt", lines=2, placeholder="Enter your prompt here..."),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    title="Text Generation with GPT-2",
    description="Enter a prompt and get a generated text using the GPT-2 model from Hugging Face."
)

# Launch the interface
iface.launch()