app.py

from fastai.vision.all import load_learner
from huggingface_hub import hf_hub_download
import gradio as gr

# Descarga el modelo desde Hugging Face
model_path = hf_hub_download(repo_id="Zemog13/gradio-test", filename="model.pkl")
learn = load_learner(model_path)

# Función para predicción
def predict(image):
    pred, _, probs = learn.predict(image)
    return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}

# Interfaz de Gradio
demo = gr.Interface(fn=predict, inputs="image", outputs="label")
demo.launch()