updates

app.py

@@ -11,7 +11,7 @@ def load_user_model(repo_id, model_file):
 
 # Generate a response using the specified model and prompt
 def generate_response(model, prompt):
-    response = model(prompt, max_tokens=256, temperature=0.7)
+    response = model(prompt, max_tokens=512, temperature=0.5)
     return response["choices"][0]["text"]
 
 # Evaluate responses using the LoRA evaluation model
@@ -41,7 +41,7 @@ Response B: {response_b}
 
 Evaluation Criteria: {criteria_list}
 
-Please evaluate the responses based on the selected criteria. For each criterion, rate both responses on a scale from 1 to 10 and provide a justification. Finally, declare the winner (or 'draw' if they are equal).
+Please evaluate the responses based on the selected criteria. For each criterion, rate both responses on a scale from 1 to 4 and provide a justification. Finally, declare the winner (or 'draw' if they are equal).
 """
     # Use the LoRA model to evaluate the responses
     evaluation_response = lora_model.create_completion(