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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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os.environ["LANGCHAIN_TRACING_V2"] = "true" |
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os.environ["LANGCHAIN_PROJECT"] = "langgraph-multi-agent" |
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LLM = "gpt-4o" |
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def invoke(openai_api_key, topic): |
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if (openai_api_key == ""): |
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raise gr.Error("OpenAI API Key is required.") |
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if (topic == ""): |
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raise gr.Error("Topic is required.") |
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with lock: |
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os.environ["OPENAI_API_KEY"] = openai_api_key |
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article = run_multi_agent(LLM, topic) |
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del os.environ["OPENAI_API_KEY"] |
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return article |
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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 = "Topic", value=os.environ["TOPIC"], lines = 1)], |
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outputs = [gr.Markdown(label = "Generated Article", value=os.environ["OUTPUT"])], |
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title = "Multi-Agent AI: Article Generation", |
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description = os.environ["DESCRIPTION"]) |
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demo.launch() |