Update app.py
Browse filesremove dev scafold
app.py
CHANGED
@@ -29,7 +29,7 @@ visit_webpage_tool = VisitWebpageTool()
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final_answer = FinalAnswerTool()
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model = LiteLLMModel(
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model_id="gemini/gemini-2.0-flash
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temperature=0.2,
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api_key=os.environ.get("GEMINI_KEY")
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)
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@@ -303,13 +303,13 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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# if item.get("task_id") == "4fc2f1ae-8625-45b5-ab34-ad4433bc21f8"
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# chess image
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if item.get("task_id") == "cca530fc-4052-43b2-b130-b30968d8aa44":
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# python code
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# if item.get("task_id") == "f918266a-b3e0-4914-865d-4faa564f1aef":
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else:
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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# Sleep to avoid the Gemini throttling at 15 RPM
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@@ -322,7 +322,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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print("Agent did not produce any answers to submit.")
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return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
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return "Questions parsed.", pd.DataFrame(results_log)
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# 4. Prepare Submission
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submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
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final_answer = FinalAnswerTool()
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model = LiteLLMModel(
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model_id="gemini/gemini-2.0-flash",
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temperature=0.2,
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api_key=os.environ.get("GEMINI_KEY")
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)
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# if item.get("task_id") == "4fc2f1ae-8625-45b5-ab34-ad4433bc21f8"
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# chess image
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# if item.get("task_id") == "cca530fc-4052-43b2-b130-b30968d8aa44":
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# python code
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# if item.get("task_id") == "f918266a-b3e0-4914-865d-4faa564f1aef":
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# submitted_answer = agent(question_text)
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# else:
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# continue
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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# Sleep to avoid the Gemini throttling at 15 RPM
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print("Agent did not produce any answers to submit.")
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return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
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# return "Questions parsed.", pd.DataFrame(results_log)
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# 4. Prepare Submission
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submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
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