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Update app.py
Browse files
app.py
CHANGED
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@@ -69,7 +69,7 @@ agent_codeagent = CodeAgent(
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def run_and_submit_one():
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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#agent = BasicAgent()
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@@ -110,5 +110,37 @@ def run_and_submit_one():
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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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run_and_submit_one()
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)
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#def run_and_submit_one():
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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#agent = BasicAgent()
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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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#run_and_submit_one()
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# Gradio handler that runs the agent
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def run_once(state):
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if state is not None:
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return "Already run once. Refresh to rerun.", state
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status_message, questions_data = load_questions_from_file()
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if questions_data is None or len(questions_data) == 0:
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return "No questions found or failed to load.", None
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question = questions_data[0]
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question_text = question["question"]
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task_id = question["task_id"]
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try:
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answer = agent_codeagent(question_text)
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output = f"Answer to task {task_id}:\n{answer}"
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return output, output
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except Exception as e:
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return f"Error running agent: {e}", None
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# Create Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("## Run AI Agent Once")
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output_text = gr.Textbox(label="Agent Output", lines=10)
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run_button = gr.Button("Run Agent")
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state = gr.State() # cache variable to prevent re-runs
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run_button.click(fn=run_once, inputs=state, outputs=[output_text, state])
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# Launch the interface
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demo.launch()
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