app.py

import gradio as gr
from transformers import pipeline

# Load your model from the Hugging Face Hub
classifier = pipeline("text-classification", model="LunarEcho1/my-food-classifier")

# Inference function
def classify(text):
    prediction = classifier(text)[0]
    label = prediction["label"]
    score = round(prediction["score"], 3)
    return f"{label} ({score})"

# Create the Gradio interface
demo = gr.Interface(fn=classify, inputs="text", outputs="text", title="🍔 Food or Not Classifier")

# Launch the app
demo.launch()