Update app.py

app.py

@@ -41,18 +41,17 @@ def file_reader(file_path: str) -> str:
 # --- Agent Class (Now using a free Open-Source LLM) ---
 class GaiaSmolAgent:
     def __init__(self):
-        # --- MODIFICATION: Switched to Groq for free, fast inference ---
-        print("Initializing GaiaSmolAgent with a free Open-Source LLM via Groq...")
-        api_key = os.getenv("GROQ_API_KEY")
+        #print("Initializing GaiaSmolAgent with a free Open-Source LLM via Groq...")
+        api_key = os.getenv("GEMINI_API_KEY")
         if not api_key:
-            raise ValueError("API key 'GROQ_API_KEY' not found in environment secrets.")
+            raise ValueError("API key 'GEMINI_API_KEY' not found in environment secrets.")
 
         #model = InferenceClientModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct", provider="together")
 
 
         self.planner_model = LiteLLMModel(
-            # Using Llama 3 8B via Groq's free API
-            model_id="groq/llama3-8b-8192", 
+            #model_id="groq/llama3-8b-8192",
+            model_id="gemini/gemini-1.5-pro-latest", 
             api_key=api_key,
             temperature=0.0,
         )
@@ -183,8 +182,8 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             print(traceback.format_exc())
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": error_message, "Reasoning Trace": ""})
         
-        print("Pausing for 5 seconds to respect API rate limits...")
-        time.sleep(5)
+        print("Pausing for 3 seconds to respect API rate limits...")
+        time.sleep(3)
 
     if not answers_payload:
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
@@ -213,7 +212,7 @@ with gr.Blocks() as demo:
     gr.Markdown(
         """
         **Instructions:**
-        1.  Ensure you have added your **Groq API key** (as `GROQ_API_KEY`) in the Space's secrets.
+        1.  Ensure you have added your **GEMINI API key** (as `GEMINI_API_KEY`) in the Space's secrets.
         2.  Log in to your Hugging Face account using the button below.
         3.  Click 'Run Evaluation & Submit All Answers' to run your agent and see the score.
         """