Update app.py

app.py

@@ -195,7 +195,7 @@ def download_file_from_google_drive(file_id):
 @st.cache_data
 def load_datasets():
     """Load the dataset from Google Drive."""
-    dataset_file_id = "1emG-BQ3-x4xsMAGMEznkh1ACdlAj5Dn1"
+    dataset_file_id = "17dj7yW22YsIfp-tvXQFCitKmLFw5IuAv"
     
     try:
         with st.spinner('Loading dataset...'):
@@ -213,7 +213,7 @@ def load_datasets():
 @st.cache_resource
 def load_model_and_encodings():
     """Load model from Google Drive and create encodings."""
-    model_file_id = "1wKixkdW2pVKEpJW-N1QIyKUr2nYirU7I"
+    model_file_id = "1ynnVEH7rmAjfe-jH8GOEmTJc6ml8dTi_"
     
     try:
         # Show loading message
@@ -456,7 +456,7 @@ def generate_gpt_response(prompt, dataset):
             return f"I found some information in our dataset about {make.title()} {model.title() if model else ''}. Please see the details above."
     
     # If no match is found, fall back to GPT response
-    openai.api_key = "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"  # Ensure the API key is set
+    openai.api_key = "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"  
     system_message = {
         "role": "system",
         "content": (