New attempt.

app.py

@@ -1,11 +1,7 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
-from smolagents.agent import PythonInterpreterAgent
-from smolagents.search import WebSummarySearch
-from smolagents.task_manager import PythonInterpreterTaskManager
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -16,32 +12,67 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
-        # Initialize web search capability
-        self.search_tool = WebSummarySearch()
-        # Initialize Python interpreter agent with search tool
-        self.task_manager = PythonInterpreterTaskManager(
-            tools=[self.search_tool],
-        )
-        self.agent = PythonInterpreterAgent(self.task_manager)
-        print("Search capability initialized.")
         
-    def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
+    def search_internet(self, query: str) -> str:
+        """
+        Search the internet for information using DuckDuckGo.
+        This is a simple implementation that returns search results as text.
+        
+        Args:
+            query (str): The search query
+            
+        Returns:
+            str: Search results as text
+        """
+        print(f"Searching internet for: {query}")
         try:
-            # Process the question with the agent
-            prompt = f"""
-            You are a helpful AI assistant. Please answer the following question:
-            {question}
+            # Using DuckDuckGo search API
+            headers = {
+                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
+            }
+            search_url = f"https://api.duckduckgo.com/?q={query}&format=json&no_html=1&no_redirect=1&skip_disambig=1"
+            
+            response = requests.get(search_url, headers=headers, timeout=10)
+            response.raise_for_status()
+            data = response.json()
             
-            If you need to search for information, use the search tool.
-            Provide a clear, concise, and accurate answer.
-            """
-            response = self.agent.run(prompt)
-            print(f"Agent processed question and generated response.")
-            return response
+            # Extract information from the response
+            results = []
+            
+            # Extract abstract information if available
+            if data.get('Abstract'):
+                results.append(f"Abstract: {data.get('Abstract')}")
+            
+            # Extract related topics
+            for topic in data.get('RelatedTopics', [])[:5]:  # Limit to first 5 topics
+                if 'Text' in topic:
+                    results.append(f"- {topic['Text']}")
+            
+            if results:
+                return "\n".join(results)
+            else:
+                return "No relevant information found."
+                
         except Exception as e:
-            print(f"Error in agent processing: {e}")
-            return f"I encountered an error while processing your question: {str(e)}"
+            print(f"Error searching internet: {e}")
+            return f"Error performing internet search: {str(e)}"
+    
+    def __call__(self, question: str) -> str:
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        
+        # Use internet search to find answer
+        search_results = self.search_internet(question)
+        
+        # Create a response based on search results
+        if (search_results and search_results != "No relevant information found." and 
+            not search_results.startswith("Error")):
+            answer = f"Based on my search, I found this information:\n\n{search_results}"
+        else:
+            # Fallback to default answer if search fails
+            answer = "I couldn't find specific information about that question."
+        
+        print(f"Agent returning answer based on internet search.")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -166,7 +197,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner (Attempt #2)")
+    gr.Markdown("# Basic Agent Evaluation Runner (Attempt #1)")
     gr.Markdown(
         """
         **Instructions:**

requirements.txt

@@ -1,3 +1,2 @@
 gradio
-requests
-git+https://github.com/smol-ai/smolagent.git
+requests