Update functions.py

functions.py

@@ -40,10 +40,13 @@ def prediction(X):
     model = load_model('best_model.keras')
     y_pred = model.predict(X)
     predictions = np.argmax(y_pred, axis=1)
-    for index, val in enumerate(predictions):
+    for val in predictions:
         if val == 0:
-            return f"Text {index} indicates the person is feeling FEAR"
+            emo=0
+            return f"You are feeling Fear"
         elif val == 1:
-            return f"Text {index} indicates the person is feeling ANGER"
+            emo=1
+            return f"You are feeling Anger"
         else:
-            return f"Text {index} indicates the person is feeling JOY"
+            emo=2
+            return f"You are feeling Joy"