Update app.py

app.py

@@ -41,7 +41,7 @@ def predict_category(resumes_data, selected_category,max_sequence_length):
     tokenized_text = tokenizer.texts_to_sequences(resumes_text)
 
     
-    max_sequence_length = 500  # Assuming maximum sequence length of 500 words
+    max_sequence_length = 500  
     padded_text = pad_sequences(tokenized_text, maxlen=max_sequence_length)
 
     
@@ -72,7 +72,7 @@ def load_deeprank_model(max_sequence_length):
     model.add(LSTM(64))
     model.add(Dense(num_classes, activation='softmax'))
     model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
-    model.load_weights('deeprank_model_v2.h5')  # Replace 'deeprank_model.h5' with your saved model file
+    model.load_weights('deeprank_model_v2.h5') 
     return model
 
 def main():