import gradio as gr import agentops, os from crew import get_crew LLM = "gpt-4o" def invoke(openai_api_key, topic, word_count=500): if (openai_api_key == ""): raise gr.Error("OpenAI API Key is required.") if (topic == ""): raise gr.Error("Topic is required.") agentops.init(os.environ["AGENTOPS_API_KEY"]) os.environ["OPENAI_API_KEY"] = openai_api_key result = get_crew(LLM).kickoff(inputs={"topic": topic, "word_count": word_count}) print("###") print(result) print("###") return result gr.close_all() demo = gr.Interface(fn = invoke, inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1), gr.Textbox(label = "Topic", value=os.environ["TOPIC"], lines = 1), gr.Number(label = "Word Count", value=500, minimum=500, maximum=5000)], outputs = [gr.Markdown(label = "Generated Blog Post", value=os.environ["OUTPUT"])], title = "Multi-Agent RAG: Blog Post Generation", description = os.environ["DESCRIPTION"]) demo.launch()