Update app.py

app.py

@@ -1,7 +1,8 @@
 import gradio as gr
 import pandas as pd
 import pickle
-from sklearn.preprocessing import LabelEncoder
+
+
 
 # Load the trained model from data.pkl
 def load_model():
@@ -12,8 +13,7 @@ def load_model():
 # Define the prediction function using the loaded model
 def predict_user_profile(inputs):
   # Preprocess the input data
-  lang_encoder = LabelEncoder()
-  lang_code = lang_encoder.fit_transform([inputs['Language']])[0]
+  
 
   # Create a DataFrame from the user input dictionary
   df = pd.DataFrame.from_dict([inputs])