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import gradio as gr |
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import agentops, os |
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from crew import get_crew |
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LLM = "gpt-4o" |
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def invoke(openai_api_key, topic, word_count=500): |
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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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os.environ["OPENAI_API_KEY"] = openai_api_key |
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result = get_crew(LLM).kickoff(inputs={"topic": topic, "word_count": word_count}) |
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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 = "Topic", value=os.environ["TOPIC"], lines = 1), |
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gr.Number(label = "Word Count", value=1000, minimum=500, maximum=5000)], |
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outputs = [gr.Markdown(label = "Generated Blog Post", value=os.environ["OUTPUT"])], |
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title = "Multi-Agent RAG: Blog Post Generation", |
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description = os.environ["DESCRIPTION"]) |
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demo.launch() |
