Clean up

app.py

@@ -58,11 +58,8 @@ def fetch_active_crypto() -> Optional[Dict[str, Any]]:
         response.raise_for_status()  # Raise an exception for HTTP errors
         data = json.loads(response.text)
 
-        # Extract the top 10 cryptocurrencies by market cap
         if 'data' in data:
             sorted_crypto = sorted(data['data'], key=lambda x: x['quote']['USD']['market_cap'], reverse=True)
-            # top_10 = sorted_crypto[:10]
-            # return {crypto['name']: crypto['quote']['USD'] for crypto in top_10}
             return {crypto['name']: crypto['quote']['USD'] for crypto in sorted_crypto}
         else:
             print("No data found in the response.")
@@ -91,28 +88,18 @@ def get_current_time_in_timezone(timezone: str) -> str:
 
 final_answer = FinalAnswerTool()
 
-############# MODEL SELECTION ################################################
-
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
-
-# model = HfApiModel(
-# max_tokens=2096,
-# temperature=0.5,
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
-# custom_role_conversions=None,
-# )
+########################################## MODEL SELECTION ################################################
 
 MODEL_IDS = [
-    #'https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud/',
-    #'https://jc26mwg228mkj8dw.us-east-1.aws.endpoints.huggingface.cloud/', 
-    # 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
-    #'meta-llama/Llama-3.2-1B-Instruct', ## Does a poor job of interpreting my questions and matching them to the tools
     'Qwen/Qwen2.5-Coder-32B-Instruct',
     'Qwen/Qwen2.5-Coder-14B-Instruct',
     'Qwen/Qwen2.5-Coder-7B-Instruct',
     'Qwen/Qwen2.5-Coder-3B-Instruct',
     'Qwen/Qwen2.5-Coder-1.5B-Instruct'
+    #'https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud/',
+    #'https://jc26mwg228mkj8dw.us-east-1.aws.endpoints.huggingface.cloud/', 
+    # 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
+    #'meta-llama/Llama-3.2-1B-Instruct', ## Does a poor job of interpreting my questions and matching them to the tools
     # Add here wherever model is working for you
 ]
 
@@ -141,7 +128,6 @@ def get_available_model():
     return MODEL_IDS[0]  # if all are failing, use the first model by dfault
 
 if verbose: print("Checking available models.")
-
 selected_model_id = get_available_model()
 
 model = HfApiModel(
@@ -154,9 +140,8 @@ model = HfApiModel(
     custom_role_conversions=None,
 )
 
-############# END: MODEL SELECTION ################################################
-
 
+################################## AGENT SETUP ################################################
 
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)