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| import gradio as gr | |
| import agentops, os, threading | |
| from crew import get_crew | |
| lock = threading.Lock() | |
| LLM = "gpt-4o" | |
| def invoke(openai_api_key, topic): | |
| if not openai_api_key: | |
| raise gr.Error("OpenAI API Key is required.") | |
| if not topic: | |
| raise gr.Error("Topic is required.") | |
| agentops.init(os.environ["AGENTOPS_API_KEY"]) | |
| with lock: | |
| os.environ["OPENAI_API_KEY"] = openai_api_key | |
| article = get_crew(LLM).kickoff(inputs={"topic": topic}) | |
| #print("===") | |
| #print(article) | |
| #print("===") | |
| del os.environ["OPENAI_API_KEY"] | |
| return article | |
| 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)], | |
| outputs = [gr.Markdown(label = "Generated Article", value=os.environ["OUTPUT"])], | |
| title = "Multi-Agent AI: Article Generation", | |
| description = os.environ["DESCRIPTION"]) | |
| demo.launch() |