Update app.py

app.py

@@ -1,7 +1,29 @@
-import gradio as gr
+from fastai.vision.all import load_learner, PILImage
+ 
+# Cargar el modelo utilizando load_learner
 
-def greet(name):
-    return "Hello " + name + "!!"
+ learn = load_learner('model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+ labels = learn.dls.vocab
+ 
+def predict(img):
+
+     img = PILImage.create(img)
+
+     pred, pred_idx, probs = learn.predict(img)
+
+     return {labels[i]: float(probs[i]) for i in range(len(labels))}
+ 
+# Crear la interfaz con título y descripción
+
+ gr.Interface(
+
+     fn=predict,
+
+     inputs=gr.Image(),
+
+     outputs=gr.Label(num_top_classes=3),
+
+     title="Brain and fruits classifier"",
+
+     description="This model identifies between real brains, prunes and walnuts in images.".launch()