Update app.py

app.py

@@ -7,6 +7,7 @@ from datetime import date
 from tensorflow.keras.models import load_model
 from tensorflow.keras.preprocessing.text import Tokenizer
 from tensorflow.keras.preprocessing.sequence import pad_sequences
+import numpy as np
 
 # load all the models and vectorizer (global vocabulary)
 # Seq_model = load_model("LSTM.h5") # Sequential
@@ -94,9 +95,10 @@ def process_api(text):
 
     # ----------- Proba -----------
     Logistic_Predicted_proba = logistic_model.predict_proba(processed_text)
+    print(float(np.max(Logistic_Predicted_proba))
     svm_new_probs = SVM_model.decision_function(processed_text)
     svm_probs = svm_model.predict_proba(svm_new_probs)
-    
+    print(float(np.max(svm_probs))
     # ----------- Debug Logs -----------
     logistic_debug = decodedLabel(int(Logistic_Predicted[0]))
     svc_debug = decodedLabel(int(SVM_Predicted[0]))