Update app.py

app.py

@@ -1,21 +1,65 @@
-import os
-from huggingface_hub import login, hf_hub_download
-
-# Step 1: Retrieve the HF token from the environment variables
-hf_token = os.getenv("HF_TOKEN")
-
-if hf_token is None:
-    raise ValueError("HF_TOKEN is not set in the environment variables.")
-
-# Step 2: Log in using the token
-login(token=hf_token)
-
-# Step 3: Test downloading a file
-try:
-    file_path = hf_hub_download(
-        repo_id="spaces/agents-course/text-to-image",
-        filename="tool.py"
-    )
-    print(f"File downloaded to: {file_path}")
-except Exception as e:
-    print(f"Error downloading file: {e}")
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
+import datetime
+import requests
+import pytz
+import yaml
+from tools.final_answer import FinalAnswerTool
+
+from Gradio_UI import GradioUI
+
+# Below is an example of a tool that does nothing. Amaze us with your creativity!
+@tool
+def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
+    # Keep this format for the tool description / args description but feel free to modify the tool
+    """A tool that does nothing yet 
+    Args:
+        arg1: the first argument
+        arg2: the second argument
+    """
+    return "What magic will you build ?"
+
+@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)}"
+
+
+final_answer = FinalAnswerTool()
+model = HfApiModel(
+max_tokens=2096,
+temperature=0.5,
+model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+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
+)
+
+
+GradioUI(agent).launch()