Update app.py

app.py

@@ -2,11 +2,18 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
-learn = load_learner('ciref.pkl')
+x,y = 280,70
+ancho,alto = 1024,715
+
+learn = load_learner('cirref.pkl')
 
 labels = learn.dls.vocab
 def predict(img):
+    
     img = PILImage.create(img)
+    #recortamos la parte de la imagen que nos interesa
+    img = img[y:alto,x:ancho]
+    
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}