Upload app.py

app.py

@@ -17,6 +17,7 @@ import os
 os.environ['OPENAI_API_KEY']  = "gl-U2FsdGVkX1+0bNWD6YsVLZUYsn0m1WfLxUzrP0xUFbtWFAfk9Z1Cz+mD8u1yqKtV"; # e.g. gl-U2FsdGVkX19oG1mRO+LGAiNeC7nAeU8M65G4I6bfcdI7+9GUEjFFbplKq48J83by
 os.environ["OPENAI_BASE_URL"] =  "https://aibe.mygreatlearning.com/openai/v1" # e.g. "https://aibe.mygreatlearning.com/openai/v1";
 
+model_name = 'gpt-4o-mini' # e.g. 'gpt-3.5-turbo'
 llm_client = OpenAI()
 
 # Define the embedding model and the vectorstore
@@ -142,7 +143,7 @@ def llm_query(user_input,company):
     return llm_response
 
 # Set-up the Gradio UI
-company = gr.Radio(label='Company:', choices=["aws", "google", "ibm", "meta", "microsoft"]) # Create a radio button for company selection
+company = gr.Radio(label='Company:', choices=["aws", "google", "ibm", "meta", "microsoft"], value="aws") # Create a radio button for company selection
 textbox = gr.Textbox(label='Question:') # Create a textbox for user input
 
 # Create Gradio interface