Update app.py

app.py

@@ -3,6 +3,7 @@ from ibm_watson_machine_learning.foundation_models import Model
 import gradio as gr
 
 
+
 # Model and project settings
 model_id = "meta-llama/llama-2-13b-chat"  # Directly specifying the LLAMA2 model
 
@@ -16,12 +17,14 @@ gen_parms = {
     "max_new_tokens": 512,  # Adjust as needed for the length of the cover letter
     "temperature": 0.7  # Adjust for creativity
 }
-project_id = "skills-network"
+
+watsonx_API = os.getenv("watson_API") 
+project_id = os.getenv("project_id")
 space_id = None
 verify = False
 
 # Initialize the model
-model = Model(model_id, my_credentials, gen_parms, project_id, space_id, verify)
+model = Model(model_id, my_credentials, gen_parms, watson_API, project_id, space_id, verify)
 
 # Function to generate customized career advice
 def generate_career_advice(field, position_name, current_qualifications, likes, skills):