Update app.py

app.py

@@ -1,4 +1,9 @@
 import gradio as gr
+import numpy as np
+from sklearn.feature_extraction.text import CountVectorizer
+from tensorflow.keras.models import Model
+from tensorflow.keras import models
+from tensorflow.keras.layers import Input,LSTM,Dense
 input_texts_translation=[]
 target_texts_translation=[]
 input_characters_translation=set()
@@ -29,7 +34,7 @@ max_target_length_translation = max([len(i) for i in target_texts_translation])
 
 #Inference model
 #load the model
-model_translation = models.load_model("translator/model_translation")
+model_translation = models.load_model("model_translation")
 #construct encoder model from the output of second layer
 #discard the encoder output and store only states.
 enc_outputs_translation, state_h_enc_translation, state_c_enc_translation = model_translation.layers[2].output