app.py

from huggingface_hub import from_pretrained_fastai
import gradio as gr
from fastai.vision.all import *

# Carregar modelo do Hugging Face
repo_id = "vncgabriel/viniciusdias"
learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab

# Função de predição
def predict(img):
    pred, pred_idx, probs = learner.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

# Criar a interface Gradio
gr.Interface(
    fn=predict, 
    inputs=gr.Image(),  # 🔴 Removido `shape=(128, 128)`
    outputs=gr.Label(num_top_classes=3),
    examples=['person78_bacteria_387.jpeg', 'person82_bacteria_404.jpeg']
).launch(share=False)