Update app.py

app.py

@@ -17,6 +17,7 @@ from tensorflow.keras.models import load_model
 import classifier_data_lib
 import tokenization
 import joblib
+from deep_translator import GoogleTranslator
 
 print("NumPy Version:", np.__version__)
 print("TensorFlow Version:", tf.__version__)
@@ -74,12 +75,17 @@ def preprocess_new_data(texts):
     dataset = dataset.prefetch(tf.data.experimental.AUTOTUNE)
     
     return dataset
-def launch(input):
+def launch(text_input):
     # Load the label encoder
     label_encoder = joblib.load('label_encoder.joblib')
 
     # Preprocess the new data
-    sample_example = [input]
+    try:
+        text_input = GoogleTranslator(source = 'auto',target = 'en').translate(text_input)
+    except:
+        text_input = text_input
+        
+    sample_example = [text_input]
     new_data_dataset = preprocess_new_data(sample_example)
 
     # Assuming you have a model already loaded (add model loading code if needed)