Update app.py

app.py

@@ -13,7 +13,9 @@ import time
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 #HF_TOKEN = os.getenv("HF_TOKEN")
 #login(HF_TOKEN)
-model = LiteLLMModel(model_id="deepseek-chat",
+HF_TOKEN = os.getenv("HF_TOKEN")
+#login(HF_TOKEN)
+model = LiteLLMModel(model_id="deepseek/deepseek-chat",
                      api_key=os.getenv("DEEPSEEK_API_KEY"),
                      base_url="https://api.deepseek.com")
 
@@ -84,7 +86,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     print(agent_code)
 
     # 2. Fetch Questions
-    print(f"Fetching questions from: {questions_url}")
+    # print(f"Fetching questions from: {questions_url}")
     try:
         response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
@@ -92,7 +94,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         if not questions_data:
              print("Fetched questions list is empty.")
              return "Fetched questions list is empty or invalid format.", None
-        print(f"Fetched {len(questions_data)} questions.")
+        # print(f"Fetched {len(questions_data)} questions.")
     except requests.exceptions.RequestException as e:
         print(f"Error fetching questions: {e}")
         return f"Error fetching questions: {e}", None
@@ -107,12 +109,12 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     # 3. Run your Agent
     results_log = []
     answers_payload = []
-    print(f"Running agent on {len(questions_data)} questions...")
+    # print(f"Running agent on {len(questions_data)} questions...")
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
         if not task_id or question_text is None:
-            print(f"Skipping item with missing task_id or question: {item}")
+            # print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
             submitted_answer = agent.answer_question(question_text)
@@ -125,16 +127,16 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         time.sleep(45)
 
     if not answers_payload:
-        print("Agent did not produce any answers to submit.")
+        # print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
     # 4. Prepare Submission 
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
-    print(status_update)
+    # print(status_update)
 
     # 5. Submit
-    print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
+    # print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
@@ -146,7 +148,7 @@ 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.")
+        # print("Submission successful.")
         results_df = pd.DataFrame(results_log)
         return final_status, results_df
     except requests.exceptions.HTTPError as e:
@@ -157,22 +159,22 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         except requests.exceptions.JSONDecodeError:
             error_detail += f" Response: {e.response.text[:500]}"
         status_message = f"Submission Failed: {error_detail}"
-        print(status_message)
+        # print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
     except requests.exceptions.Timeout:
         status_message = "Submission Failed: The request timed out."
-        print(status_message)
+        # print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
     except requests.exceptions.RequestException as e:
         status_message = f"Submission Failed: Network error - {e}"
-        print(status_message)
+        # print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
     except Exception as e:
         status_message = f"An unexpected error occurred during submission: {e}"
-        print(status_message)
+        # print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
 
@@ -230,4 +232,4 @@ if __name__ == "__main__":
     print("-"*(60 + len(" App Starting ")) + "\n")
 
     print("Launching Gradio Interface for Basic Agent Evaluation...")
-    demo.launch(debug=True, share=False)
+    demo.launch(debug=True, share=True)