Update app.py

app.py

@@ -2,20 +2,20 @@ from huggingface_hub import from_pretrained_fastai
 import gradio as gr
 from fastai.vision.all import *
 
-
-
-# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
-repo_id = "joheras/futurama"
-
+# Carregar modelo do Hugging Face
+repo_id = "vncgabriel/viniciusdias"
 learner = from_pretrained_fastai(repo_id)
 labels = learner.dls.vocab
 
-# Definimos una función que se encarga de llevar a cabo las predicciones
+# Função de predição
 def predict(img):
-    #img = PILImage.create(img)
-    pred,pred_idx,probs = learner.predict(img)
+    pred, pred_idx, probs = learner.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
-    
-# Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['fry.jpg','leela.jpg']).launch(share=False)
- 
+
+# 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)