Update app.py

app.py

@@ -13,25 +13,54 @@ except ImportError:
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Gemini Agent Definition ---
+# --- Gemini Agent Definition with Fallback ---
 class GeminiAgent:
     def __init__(self):
         print("GeminiAgent initialized.")
-        api_key = os.getenv("GEMINI_API_KEY")
-        if not api_key:
-            raise ValueError("GEMINI_API_KEY environment variable not set.")
-        self.client = genai.Client(api_key=api_key)
+        self.primary_key = os.getenv("GEMINI_API_KEY")
+        self.backup_key = os.getenv("GEMINI_API_KEY_2")
 
-    def __call__(self, question: str) -> str:
-        print(f"GeminiAgent received question (first 50 chars): {question[:50]}...")
+        if not self.primary_key and not self.backup_key:
+            raise ValueError("No Gemini API key found in environment variables.")
+
+        self.client = None
+        self.active_key = None
+        self._init_client(self.primary_key)
+
+    def _init_client(self, key):
+        try:
+            self.client = genai.Client(api_key=key)
+            self.active_key = key
+            print(f"✅ Initialized Gemini client with key ending in ...{key[-4:]}")
+        except Exception as e:
+            print(f"⚠️ Failed to initialize Gemini client with key ending in ...{key[-4:]}: {e}")
+            self.client = None
+
+    def _generate_response(self, question):
         prompt = f"Answer concisely without explanation: {question}"
         response = self.client.models.generate_content(
             model="gemini-2.0-flash", contents=prompt
         )
-        answer = response.text.strip().rstrip(".!?")
-        print(f"GeminiAgent returning answer: {answer}")
-        return answer
+        return response.text.strip().rstrip(".!?")
 
+    def __call__(self, question: str) -> str:
+        print(f"GeminiAgent received question (first 50 chars): {question[:50]}...")
+        try:
+            return self._generate_response(question)
+        except Exception as e1:
+            print(f"❌ Primary key failed: {e1}")
+            if self.backup_key and self.backup_key != self.active_key:
+                try:
+                    print("🔁 Switching to backup key...")
+                    self._init_client(self.backup_key)
+                    return self._generate_response(question)
+                except Exception as e2:
+                    print(f"❌ Backup key also failed: {e2}")
+                    return f"ERROR: Gemini agent failed with both keys."
+            else:
+                return f"ERROR: Gemini agent failed with primary key only."
+
+# --- Evaluation & Submission Function ---
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
 
@@ -68,11 +97,10 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         print(f"Error fetching questions: {e}")
         return f"Error fetching questions: {e}", None
     except requests.exceptions.JSONDecodeError as e:
-        print(f"Error decoding JSON response from questions endpoint: {e}")
-        print(f"Response text: {response.text[:500]}")
+        print(f"Error decoding JSON response: {e}")
         return f"Error decoding server response for questions: {e}", None
     except Exception as e:
-        print(f"An unexpected error occurred fetching questions: {e}")
+        print(f"Unexpected error: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
 
     results_log = []
@@ -93,7 +121,6 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
 
     if not answers_payload:
-        print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
     submission_data = {
@@ -101,9 +128,6 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         "agent_code": agent_code,
         "answers": answers_payload
     }
-    status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
-    print(status_update)
-
     print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
@@ -116,64 +140,31 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
             f"Message: {result_data.get('message', 'No message received.')}"
         )
-        print("Submission successful.")
-        results_df = pd.DataFrame(results_log)
-        return final_status, results_df
-    except requests.exceptions.HTTPError as e:
-        error_detail = f"Server responded with status {e.response.status_code}."
-        try:
-            error_json = e.response.json()
-            error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
-        except requests.exceptions.JSONDecodeError:
-            error_detail += f" Response: {e.response.text[:500]}"
-        status_message = f"Submission Failed: {error_detail}"
-        print(status_message)
-        return status_message, pd.DataFrame(results_log)
-    except requests.exceptions.Timeout:
-        status_message = "Submission Failed: The request timed out."
-        print(status_message)
-        return status_message, pd.DataFrame(results_log)
+        return final_status, pd.DataFrame(results_log)
     except requests.exceptions.RequestException as e:
-        status_message = f"Submission Failed: Network error - {e}"
-        print(status_message)
+        status_message = f"Submission Failed: {e}"
         return status_message, pd.DataFrame(results_log)
     except Exception as e:
-        status_message = f"An unexpected error occurred during submission: {e}"
-        print(status_message)
-        return status_message, pd.DataFrame(results_log)
+        return f"Unexpected error during submission: {e}", pd.DataFrame(results_log)
 
-# --- Build Gradio Interface using Blocks ---
+# --- Gradio UI ---
 with gr.Blocks() as demo:
     gr.Markdown("# Gemini 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 separate action or even to answer the questions asynchronously.
-        """
-    )
+    gr.Markdown("""
+    **Instructions:**
+    1. Log in to Hugging Face using the button below.
+    2. Click the button to run your agent and submit your answers.
+
+    ---
+    ⚠️ Evaluation may take time. Keep this tab open until completion.
+    """)
+
     gr.LoginButton()
     run_button = gr.Button("Run Evaluation & Submit All Answers")
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
 
-    run_button.click(
-        fn=run_and_submit_all,
-        outputs=[status_output, results_table]
-    )
+    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
 
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
@@ -182,17 +173,17 @@ if __name__ == "__main__":
 
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
-        print(f" Runtime URL should be: https://{space_host_startup}.hf.space")
+        print(f" Runtime URL: https://{space_host_startup}.hf.space")
     else:
-        print("ℹ️ SPACE_HOST environment variable not found (running locally?).")
+        print("ℹ️ SPACE_HOST not found (likely running locally).")
 
     if space_id_startup:
         print(f"✅ SPACE_ID found: {space_id_startup}")
-        print(f" Repo URL: https://huggingface.co/spaces/{space_id_startup}")
-        print(f" Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
+        print(f" Repo: https://huggingface.co/spaces/{space_id_startup}")
+        print(f" Code: 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.")
+        print("ℹ️ SPACE_ID not found. Cannot link to code.")
 
-    print("-"*(60 + len(" App Starting ")) + "\n")
+    print("-" * 70)
     print("Launching Gradio Interface for Gemini Agent Evaluation...")
     demo.launch(debug=True, share=False)