app.py

import gradio as gr
from transformers import pipeline

# Load the model (change the model name if needed)
model_name = "google/gemma-2b-it"
generator = pipeline("text-generation", model=model_name)

def generate_response(prompt):
    response = generator(prompt, max_length=200)
    return response[0]["generated_text"]

iface = gr.Interface(
    fn=generate_response,
    inputs="text",
    outputs="text",
    title="Waste Reuse AI",
    description="This AI suggests reuse ideas for waste items."
)

iface.launch()