app.py

import gradio as gr
from transformers import pipeline, GPT2Tokenizer, GPT2LMHeadModel

# Pre-download the model and tokenizer
model_name = "gpt2"
GPT2Tokenizer.from_pretrained(model_name)
GPT2LMHeadModel.from_pretrained(model_name)

# Load the pipeline
generator = pipeline('text-generation', model=model_name)

# Function to generate text
def generate_text(prompt):
    output = generator(prompt, max_length=50, num_return_sequences=1)
    return output[0]['generated_text']

# Build the interface
iface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=2, placeholder="Enter a prompt here..."),
    outputs="text",
    title="AI Text Generator",
    description="Generate text with AI!"
)

# Launch it kk
iface.launch()