update app.py

app.py

@@ -1,5 +1,5 @@
 from huggingface_hub import InferenceClient
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, InferenceClientModel
 import datetime
 import requests
 import pytz
@@ -65,12 +65,12 @@ final_answer = FinalAnswerTool()
 # 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='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
-)
+# model = HfApiModel(
+# max_tokens=2096,
+# temperature=0.5,
+# model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+# custom_role_conversions=None,
+# )
 
 
 # Import tool from Hub
@@ -80,14 +80,19 @@ with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
 agent = CodeAgent(
-    model=model,
-    tools=[final_answer, get_current_time_in_timezone, generate_image], ## add your tools here (don't remove final answer)
+    model=InferenceClientModel(model_id='Qwen/Qwen2.5-Coder-32B-Instruct'), #model,
+    tools=[final_answer, 
+           get_current_time_in_timezone, 
+           generate_image, 
+           DuckDuckGoSearchTool(),
+           ], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
+    additional_authorized_imports=['datetime'],
     # prompt_templates=prompt_templates
 )