Added changes to support Google API

app.py

@@ -7,14 +7,15 @@ import pandas as pd
 import asyncio
 import aiohttp
 
-from smolagents import CodeAgent, OpenAIServerModel, DuckDuckGoSearchTool
+from smolagents import CodeAgent, LiteLLMModel, DuckDuckGoSearchTool
 
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
-MODEL_ID = "gemini-2.5-pro-preview-06-05" 
+MODEL_ID = "gemini/gemini-2.5-pro-preview-06-05" 
 GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized to use smolagents.")
@@ -23,11 +24,9 @@ class BasicAgent:
         try:    
             search_tool = DuckDuckGoSearchTool()
             
-            llm_model = OpenAIServerModel(
+            llm_model = LiteLLMModel(
                 model_id=MODEL_ID,
-                api_base="https://generativelanguage.googleapis.com/v1beta/openai/",
                 api_key=GOOGLE_API_KEY,
-                temperature=0.7
             )
             self.agent_executor = CodeAgent(
                 model=llm_model,
@@ -62,13 +61,6 @@ async def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
 
-    if profile:
-        username= f"{profile.username}"
-        print(f"User logged in: {username}")
-    else:
-        print("User not logged in.")
-        return "Please Login to Hugging Face with the button.", None
-
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
@@ -193,38 +185,6 @@ async def run_and_submit_all(profile: gr.OAuthProfile | None):
         print(status_message)
         return status_message, pd.DataFrame(results_log)
 
-
-# --- Build Gradio Interface using Blocks ---
-with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner")
-    gr.Markdown(
-        """
-        **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.
-
-        ---
-        **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.
-        """
-    )
-
-    gr.LoginButton()
-
-    run_button = gr.Button("Run 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)
-
-    run_button.click(
-        fn=run_and_submit_all,
-        outputs=[status_output, results_table]
-    )
-
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
     # Check for SPACE_HOST and SPACE_ID at startup for information
@@ -236,6 +196,9 @@ if __name__ == "__main__":
         print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")
     else:
         print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
+        loop = asyncio.get_event_loop()
+        loop.run_until_complete(run_and_submit_all(None))
+        exit(0)
 
     if space_id_startup: # Print repo URLs if SPACE_ID is found
         print(f"✅ SPACE_ID found: {space_id_startup}")
@@ -243,8 +206,38 @@ if __name__ == "__main__":
         print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
     else:
         print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
+        exit(0)
 
     print("-"*(60 + len(" App Starting ")) + "\n")
-
     print("Launching Gradio Interface for Basic Agent Evaluation...")
-    demo.launch(debug=True, share=False)
+    # --- Build Gradio Interface using Blocks ---
+    with gr.Blocks() as demo:
+        gr.Markdown("# Basic Agent Evaluation Runner")
+        gr.Markdown(
+            """
+            **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.
+
+            ---
+            **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.
+            """
+        )
+
+        gr.LoginButton()
+
+        run_button = gr.Button("Run 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)
+
+        run_button.click(
+            fn=run_and_submit_all,
+            outputs=[status_output, results_table]
+        )
+        demo.launch(debug=True, share=False)

requirements.txt

@@ -4,4 +4,6 @@ torch
 transformers 
 aiohttp
 smolagents
+smolagents[litellm]
+google
 duckduckgo-search