Use the default model

app.py

@@ -7,13 +7,12 @@ load_dotenv()
 
 # Initialize Cohere API client
 co = cohere.Client()
-MODEL_NAME = 'command-r-plus'  # Define model name as a constant
 
 # Adaptive learning functions
 def assess_knowledge(name, experience, goals):
     try:
         level_prompt = f"User Name: {name}, Experience: {experience}, Goals: {goals}. Classify as beginner, intermediate, or advanced."
-        response = co.generate(prompt=level_prompt, model=MODEL_NAME)
+        response = co.generate(prompt=level_prompt)
         level = response.generations[0].text.strip()
         return level
     except Exception as e:
@@ -22,7 +21,7 @@ def assess_knowledge(name, experience, goals):
 def generate_explanation(topic, level):
     try:
         explanation_prompt = f"Explain the topic '{topic}' to a {level} level student."
-        response = co.generate(prompt=explanation_prompt, model=MODEL_NAME)
+        response = co.generate(prompt=explanation_prompt)
         explanation = response.generations[0].text.strip()
         return explanation
     except Exception as e:
@@ -31,7 +30,7 @@ def generate_explanation(topic, level):
 def generate_challenge(topic, level):
     try:
         challenge_prompt = f"Generate a {level} level challenge for learning '{topic}' in computer science."
-        response = co.generate(prompt=challenge_prompt, model=MODEL_NAME)
+        response = co.generate(prompt=challenge_prompt)
         challenge = response.generations[0].text.strip()
         return challenge
     except Exception as e: