Update app.py

app.py

@@ -6,6 +6,7 @@ import tensorflow as tf
 from tensorflow import keras
 from tensorflow.keras import layers
 from tensorflow.keras.layers import TextVectorization
+import pickle 
 
 strip_chars = pickle.load(open('strip_chars.pkl', 'rb'))
 
@@ -141,8 +142,9 @@ train_spa_texts = [pair[1] for pair in train_pairs]
 eng_vectorization.adapt(train_eng_texts)
 spa_vectorization.adapt(train_spa_texts)
 
-inputs = gr.inputs.Textbox(lines=1, label="Text in Spanish")
-outputs = [gr.outputs.Textbox(label="Translated text in Quechua")]
+inputs = gr.inputs.Textbox(lines=1, label="Text in English")
+outputs = [gr.outputs.Textbox(label="Translated text in Spanish")]
+examples=["How are you"]
 
 def get_translate(input_sentence):
   spa_vocab = spa_vectorization.get_vocabulary()
@@ -161,6 +163,6 @@ def get_translate(input_sentence):
       if sampled_token == "[end]":
           break
   return decoded_sentence.replace("[start]", "").replace("[end]", "")
-iface=gr.Interface(fn=get_translate,inputs=inputs , outputs=outputs, title='Sakil EnglishToGerman Translator APP')
+iface=gr.Interface(fn=get_translate,inputs=inputs, outputs=outputs, title='EnglishToSpanish Translator', examples=examples)
 
 iface.launch(debug=True)