Update app.py

app.py

@@ -3,21 +3,46 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from crewai_agent import CrewAIAgent
 
 # (Keep Constants as is)
 # --- Constants ---
 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.")
+# --- CrewAI Agent Definition ---
+# ----- THIS IS WHERE YOU CAN BUILD WHAT YOU WANT ------
+class CrewAIBasicAgent:
+    """Wrapper class for CrewAI agent to match the expected interface."""
+    
+    def __init__(self, provider: str = "google"):
+        print(f"CrewAI Agent initialized with provider: {provider}")
+        try:
+            self.agent = CrewAIAgent(provider=provider)
+            print("CrewAI Agent successfully initialized.")
+        except Exception as e:
+            print(f"Error initializing CrewAI Agent: {e}")
+            # Fallback to simple agent
+            self.agent = None
+    
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        """Process question using CrewAI agent."""
+        print(f"CrewAI Agent received question (first 50 chars): {question[:50]}...")
+        
+        if self.agent is None:
+            # Fallback response if agent failed to initialize
+            fallback_answer = "CrewAI agent initialization failed. Using fallback response."
+            print(f"Using fallback answer: {fallback_answer}")
+            return fallback_answer
+        
+        try:
+            # Use the CrewAI agent to process the question
+            answer = self.agent(question)
+            print(f"CrewAI Agent generated answer (first 100 chars): {answer[:100]}...")
+            return answer
+        except Exception as e:
+            error_msg = f"Error in CrewAI agent processing: {str(e)}"
+            print(error_msg)
+            return error_msg
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -40,10 +65,10 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent = BasicAgent()
+        agent = CrewAIBasicAgent(provider="google")  # Using CrewAI agent instead of BasicAgent
     except Exception as e:
-        print(f"Error instantiating agent: {e}")
-        return f"Error initializing agent: {e}", None
+        print(f"Error instantiating CrewAI agent: {e}")
+        return f"Error initializing CrewAI agent: {e}", None
     # In the case of an app running as a hugging Face space, this link points toward your codebase ( usefull for others so please keep it public)
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
@@ -142,29 +167,33 @@ 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")
+    gr.Markdown("# CrewAI Multi-Purpose Agent Evaluation Runner")
     gr.Markdown(
         """
+        **CrewAI Agent Features:**
+        - **Multi-Agent Architecture**: Specialized agents for different types of tasks
+        - **Research Capabilities**: Search Wikipedia, ArXiv papers, and web sources
+        - **Mathematical Operations**: Perform calculations and solve mathematical problems
+        - **Intelligent Task Routing**: Automatically selects the best agent for each question
+        
         **Instructions:**
-
-        1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
-        2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
-        3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
-
+        1.  Please clone this space, then modify the code to define your CrewAI agent's logic, tools, and packages
+        2.  Add your API keys to the `.env` file (Google, Tavily, etc.)
+        3.  Log in to your Hugging Face account using the button below
+        4.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your CrewAI agent, and see the score
         ---
-        **Disclaimers:**
-        Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
-        This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
+        **Note:** The CrewAI agent uses multiple specialized agents working together to provide comprehensive answers.
+        This may take longer than a basic agent but provides much more intelligent responses.
         """
     )
 
     gr.LoginButton()
 
-    run_button = gr.Button("Run Evaluation & Submit All Answers")
+    run_button = gr.Button("Run CrewAI Evaluation & Submit All Answers")
 
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     # Removed max_rows=10 from DataFrame constructor
-    results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+    results_table = gr.DataFrame(label="Questions and CrewAI Agent Answers", wrap=True)
 
     run_button.click(
         fn=run_and_submit_all,
@@ -172,7 +201,7 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    print("\n" + "-"*30 + " App Starting " + "-"*30)
+    print("\n" + "-"*30 + " CrewAI App Starting " + "-"*30)
     # Check for SPACE_HOST and SPACE_ID at startup for information
     space_host_startup = os.getenv("SPACE_HOST")
     space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
@@ -190,7 +219,7 @@ if __name__ == "__main__":
     else:
         print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
 
-    print("-"*(60 + len(" App Starting ")) + "\n")
+    print("-"*(60 + len(" CrewAI App Starting ")) + "\n")
 
-    print("Launching Gradio Interface for Basic Agent Evaluation...")
+    print("Launching Gradio Interface for CrewAI Multi-Purpose Agent...")
     demo.launch(debug=True, share=False)