Update app.py

app.py

@@ -19,7 +19,7 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class CrewAIBasicAgent:
     """Wrapper class for CrewAI agent to match the expected interface."""
     
-    def __init__(self, provider: str = "google"):
+    def __init__(self, provider: str = "groq"):
         print(f"CrewAI Agent initialized with provider: {provider}")
         try:
             self.agent = LangChainAgent(provider=provider)
@@ -70,7 +70,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent = CrewAIBasicAgent(provider="google")  # Using CrewAI agent instead of BasicAgent
+        agent = CrewAIBasicAgent(provider="groq")  # Using Groq Llama instead of Google Gemini
     except Exception as e:
         print(f"Error instantiating CrewAI agent: {e}")
         return f"Error initializing CrewAI agent: {e}", None
@@ -172,23 +172,25 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# CrewAI Multi-Purpose Agent Evaluation Runner")
+    gr.Markdown("# CrewAI Multi-Purpose Agent Evaluation Runner (Powered by Groq Llama)")
     gr.Markdown(
         """
         **CrewAI Agent Features:**
+        - **Powered by Groq Llama 3.3 70B**: Ultra-fast inference with state-of-the-art language model
         - **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
+        - **Mathematical Operations**: Perform complex calculations and solve mathematical problems
+        - **Intelligent Task Routing**: Automatically selects the best tools for each question
+        - **Advanced Memory Management**: Smart conversation memory with summarization for better context
         
         **Instructions:**
         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.)
+        2.  Add your API keys to the `.env` file (Groq, 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
         ---
-        **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.
+        **Note:** The CrewAI agent uses Groq's ultra-fast Llama model with multiple specialized tools working together 
+        to provide comprehensive and accurate answers. This combination provides both speed and intelligence.
         """
     )