Update app.py

app.py

@@ -1,17 +1,20 @@
-from fastai.vision.all import *
+from huggingface_hub import from_pretrained_fastai
 import gradio as gr
+from fastai.vision.all import *
+
+
 
-# Cargamos el learner
-learn = load_learner('export.pkl')
+# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
+repo_id = "maviced/intel-image-classification"
 
-# Definimos las etiquetas de nuestro modelo
-labels = learn.dls.vocab
+learner = from_pretrained_fastai(repo_id)
+labels = learner.dls.vocab
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
-    img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
+    # img = PILImage.create(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=4),examples=['10000.jpg','10007.jpg']).launch()
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['10000.jpg','10007.jpg']).launch(share=False)