Update app.py

app.py

@@ -1,78 +1,33 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
-import yaml
-from tools.final_answer import FinalAnswerTool
+import os
+from huggingface_hub import InferenceClient
+import traceback
 
-from Gradio_UI import GradioUI
+print("--- Starting Direct HF Hub Test ---")
+token = os.environ.get("HF_TOKEN")
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-@tool
-def search(arg:str)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that searches on the web and return the results 
-    Args:
-        arg: the topic to search about
-    """
-    return DuckDuckGoSearchTool(arg)
+if token:
+    print("HF_TOKEN secret FOUND.")
+else:
+    print("!!! HF_TOKEN secret IS *NOT* SET! !!!")
 
-@tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
-    Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
-    """
-    try:
-        # Create timezone object
-        tz = pytz.timezone(timezone)
-        # Get current time in that timezone
-        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
-        return f"The current local time in {timezone} is: {local_time}"
-    except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
-
-search_tool = DuckDuckGoSearchTool()
-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='mistralai/Mistral-7B-Instruct-v0.2',# 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)
+try:
+    client = InferenceClient(token=token) 
+    print("InferenceClient initialized.")
 
-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,
-           search_tool], ## 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
-)
+    response = client.chat_completion(
+        messages=[{"role": "user", "content": "Hello!"}],
+        model="mistralai/Mistral-7B-Instruct-v0.2",
+        max_tokens=10,
+    )
+    print("Direct client test SUCCESS:", response)
 
+except Exception as e:
+    print("Direct client test FAILED:")
+    traceback.print_exc() # <--- This will print the full error
 
-# GradioUI(agent).launch()
+print("--- Finished Direct HF Hub Test ---")
 
-try:
-    result = agent.run("what is the weather in aleppo city in syria?") # Or another test message
-    print("Agent Result:", result)
-except Exception as e:
-    print("An error occurred during agent run:", e)
-    import traceback
-    traceback.print_exc() # <--- This will print the full error
+# --- Comment out the rest of your code for this test ---
+# from smolagents import CodeAgent, HfApiModel # etc...
+# agent = CodeAgent(...)
+# agent.run(...)