Update app.py

app.py

@@ -3,15 +3,15 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from langchain.agents import initialize_agent, Tool
-from langchain.agents.agent_types import AgentType
-from langchain.chat_models import ChatOpenAI
-from langchain.tools import DuckDuckGoSearchRun
-from langchain_community.llms import HuggingFaceHub
-from langchain_huggingface import HuggingFaceEndpoint
-from langchain_community.chat_models import ChatHuggingFace
-from langchain.llms.base import LLM
-from huggingface_hub import InferenceClient
+# from langchain.agents import initialize_agent, Tool
+# from langchain.agents.agent_types import AgentType
+# from langchain.chat_models import ChatOpenAI
+# from langchain.tools import DuckDuckGoSearchRun
+# from langchain_community.llms import HuggingFaceHub
+# from langchain_huggingface import HuggingFaceEndpoint
+# from langchain_community.chat_models import ChatHuggingFace
+# from langchain.llms.base import LLM
+# from huggingface_hub import InferenceClient
 from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel
 
 
@@ -30,21 +30,12 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-
-
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
 
-        # Initialize the Agent with a text generation model (Falcon 7B instruct)
-        self.agent = CodeAgent(
-            tools=[DuckDuckGoSearchTool()],
-            model=InferenceClientModel(
-            "tiiuae/falcon-7b-instruct",
-            temperature=0
-            )
-        )
-
+        # Initialize the Agent
+        self.agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=InferenceClientModel())
 
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
@@ -54,6 +45,7 @@ class BasicAgent:
         # Return the answer stripped (no extra spaces/newlines)
         return answer.strip()
 
+# Put it all together
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,