app.py

import gradio as gr
from transformers import pipeline

model_id = "meta-llama/Meta-Llama-3-8B"  # You can replace this with any model of your choice
generator = pipeline("text-generation", model=model_id)

# Define the function to process the input and generate text
def generate_text(prompt):
    response = generator(prompt, max_length=100, num_return_sequences=1)
    generated_text = response[0]['generated_text']
    return generated_text

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