Update app.py

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, InferenceClientModel, load_tool, tool
 import datetime
 import requests
 import pytz
@@ -39,31 +39,24 @@ 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,
-)
-
-
-# Import tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
-
-with open("prompts.yaml", 'r') as stream:
-    prompt_templates = yaml.safe_load(stream)
-    
-agent = CodeAgent(
-    model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
-)
+model = InferenceClientModel( 
+    max_tokens= 2096 , 
+    temperature= 0.5 , 
+    model_id= 'Qwen/Qwen2.5-Coder-32B-Instruct' , 
+    custom_role_conversions= None , 
+) with open ( "prompts.yaml" , 'r' ) as stream: 
+    prompt_templates = yaml.safe_load(stream) # Kita membuat CodeAgent kita 
+agent = CodeAgent( 
+    model=model, 
+    tools=[final_answer], # tambahkan tools Anda di sini (jangan hapus final_answer) 
+    max_steps= 6 , 
+    verbosity_level= 1 , 
+    grammar= None , 
+    planning_interval = None , 
+    name= None , 
+    description= None , 
+    prompt_templates=prompt_templates 
+) 
 
 
 GradioUI(agent).launch()