Update app.py

app.py

@@ -2,22 +2,23 @@
 from ibm_watson_machine_learning.foundation_models import Model
 import gradio as gr
 
-watsonx_API = "Q7fLgZsmjZJ9L8BhLE_asx91M1C3dlPeYgmSm2wBleyk"  
-project_id= "a5a13c69-59c8-4856-bea6-4fa1f85e2cbb"  
+import os
+
+# Securely load the API key and project ID
+watsonx_API = os.getenv("WATSONX_API")
+project_id= os.getenv("PROJECT_ID")
 
 # Model and project settings
 model_id = "meta-llama/llama-2-13b-chat"  # Directly specifying the LLAMA2 model
 
-
 # Generation parameters
 gen_parms = {
     "max_new_tokens": 512,  # Adjust as needed for the length of the cover letter
     "temperature": 0.7  # Adjust for creativity
 }
 
-
 # Initialize the model
-model = Model(model_id, my_credentials, gen_parms, project_id, space_id, verify)
+model = Model(model_id, watsonx_API, gen_parms, project_id)
 
 # Function to generate customized career advice
 def generate_career_advice(field, position_name, current_qualifications, likes, skills):
@@ -34,11 +35,10 @@ def generate_career_advice(field, position_name, current_qualifications, likes,
     career_advice = generated_response["results"][0]["generated_text"]
     return career_advice
 
-
 # Create Gradio interface for the cover letter generation application
 career_advice_app = gr.Interface(
     fn=generate_career_advice,
-    allow_flagging="never", # Deactivate the flag function in gradio as it is not needed.
+    allow_flagging="never",  # Deactivate the flag function in gradio as it is not needed.
     inputs=[
         gr.Textbox(label="Field of Interest (e.g., healthcare, trades, social service, etc., or enter 'not sure')", placeholder="Enter the field which you are interested in... or type 'not sure'."),
         gr.Textbox(label="Position Name (e.g., nurse, personal support worker, software developer, plumber, etc., or enter 'not sure')", placeholder="Enter the name of the position you are interested in... or type 'not sure'"),
@@ -48,7 +48,7 @@ career_advice_app = gr.Interface(
     ],
     outputs=gr.Textbox(label="Customized Career Advice"),
     title="Customized Career Advice",
-    description="Generate a customized career advice using field, position name, likes and skills"
+    description="Generate a customized career advice using field, position name, likes, and skills"
 )
 
 # Launch the application