Revert

app.py

@@ -1,10 +1,8 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, ToolCollection
-from mcp import StdioServerParameters
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
 import requests
 import pytz
 import yaml
-import os
 from tools.final_answer import FinalAnswerTool
 
 from Gradio_UI import GradioUI
@@ -36,12 +34,6 @@ def get_current_time_in_timezone(timezone: str) -> str:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
 
-server_parameters = StdioServerParameters(
-    command="uv",
-    args=["--quiet", "[email protected]"],
-    env={"UV_PYTHON": "3.12", **os.environ},
-)
-
 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:
@@ -61,32 +53,17 @@ image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_co
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
-#agent = CodeAgent(
-#    model=model,
-#    tools=[final_answer, image_generation_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
-#)
-
-with ToolCollection.from_mcp(server_parameters) as tool_collection:
-    agent = CodeAgent(
-        model=model,
-        tools=[final_answer, *tool_collection.tools],
-        add_base_tools=True,
-        max_steps=6,
-        verbosity_level=1,
-        grammar=None,
-        planning_interval=None,
-        name=None,
-        description=None,
-        prompt_templates=prompt_templates
-    )
-    #agent.run("Please find a remedy for hangover.")
+agent = CodeAgent(
+    model=model,
+    tools=[final_answer, image_generation_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
+)
 
 
 GradioUI(agent).launch()