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import gradio as gr |
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import os, threading |
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from agent import run_agent |
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from helper import get_questions |
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lock = threading.Lock() |
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def invoke(level, question, file_name, ground_truth, openai_api_key): |
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if not level: |
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raise gr.Error("Level is required.") |
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if not question: |
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raise gr.Error("Question is required.") |
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if not ground_truth: |
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raise gr.Error("Ground Truth is required.") |
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if not openai_api_key: |
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raise gr.Error("OpenAI API Key is required.") |
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with lock: |
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os.environ["OPENAI_API_KEY"] = openai_api_key |
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answer, final_answer = run_agent(level, question, file_name) |
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del os.environ["OPENAI_API_KEY"] |
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return answer, final_answer, str(final_answer == ground_truth) |
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gr.close_all() |
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demo = gr.Interface(fn = invoke, |
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inputs = [gr.Radio([1, 2, 3], label = "Level"), |
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gr.Textbox(label = "Question"), |
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gr.Textbox(label = "File Name"), |
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gr.Textbox(label = "Ground Truth"), |
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gr.Textbox(label = "OpenAI API Key", type = "password")], |
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outputs = [gr.Textbox(label = "Answer", lines = 1, interactive = False), |
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gr.Textbox(label = "Final Answer", lines = 1, interactive = False), |
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gr.Radio(["True", "False"], label = "Matches Ground Truth", interactive = False)], |
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title = "General AI Assistant (GAIA)", |
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description = os.environ["DESCRIPTION"], |
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examples = get_questions(), |
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cache_examples = False |
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) |
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demo.launch() |