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import gradio as gr |
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import os, threading |
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from multi_agent import run_multi_agent |
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lock = threading.Lock() |
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LLM = "gpt-4o" |
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def invoke(openai_api_key, task): |
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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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if not task: |
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raise gr.Error("Task is required.") |
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raise gr.Error("Please clone space due to local code execution.") |
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with lock: |
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os.environ["OPENAI_API_KEY"] = openai_api_key |
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result = run_multi_agent(LLM, task) |
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del os.environ["OPENAI_API_KEY"] |
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return result |
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gr.close_all() |
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demo = gr.Interface(fn = invoke, |
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inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1), |
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gr.Textbox(label = "Task", value = os.environ['INPUT'])], |
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outputs = [gr.Markdown(label = "Output", value = os.environ["OUTPUT"], line_breaks = True, sanitize_html = False)], |
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title = "Multi-Agent AI: Coding", |
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description = os.environ["DESCRIPTION"]) |
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demo.launch() |