Update app.py

app.py

@@ -8,6 +8,8 @@ classes = ['paper', 'rock', 'scissors']
 
 model = tf.keras.models.load_model('rps.h5')
 
+ch = {}
+
 # sel = None
 # det = None
 
@@ -16,21 +18,23 @@ def classify_image(inp):
   img = np.reshape(img,(1,224,224,3))
   pred = model.predict(img).flatten()
   confidences = {classes[i]: float(pred[i]) for i in range(3)}
-  global det
   det = classes[pred.argmax(axis=-1)]
   print(det)
+  ch['det'] = det
   return confidences
 
 def random_char(n):
   print("HELLO")
   n = random.randint(0,2)
-  global sel
   sel = classes[n]
   print(sel)
+  ch['sel'] = sel
   return classes[n].upper()
 
 def result(t):
   print("HIOAL")
+  sel = ch['sel']
+  det = ch['det']
   print(sel, det)
   if (sel == 'rock' and det == 'paper') or (sel == 'paper' and det == 'scissors') or (sel == "scissors" and det == "rock"):
     return "YOU WON"