Spaces:
Sleeping
Sleeping
| """Gradio front end for customer_support.py, used as the Hugging Face Space. | |
| Run locally: python app.py | |
| """ | |
| import gradio as gr | |
| from customer_support import crew | |
| # Free Hugging Face accounts run Gradio Spaces on ZeroGPU, which refuses to | |
| # start an app without a @spaces.GPU function. This one is never called. | |
| try: | |
| import spaces | |
| def zerogpu_startup(): | |
| pass | |
| except ImportError: | |
| pass | |
| def answer(customer, person, inquiry): | |
| result = crew.kickoff( | |
| inputs={"customer": customer, "person": person, "inquiry": inquiry} | |
| ) | |
| return result.raw | |
| demo = gr.Interface( | |
| fn=answer, | |
| inputs=[ | |
| gr.Textbox(label="Customer", value="DeepLearningAI"), | |
| gr.Textbox(label="Person", value="Andrew Ng"), | |
| gr.Textbox( | |
| label="Inquiry", | |
| lines=4, | |
| value="I need help with setting up a Crew " | |
| "and kicking it off, specifically " | |
| "how can I add memory to my crew? " | |
| "Can you provide guidance?", | |
| ), | |
| ], | |
| outputs=gr.Markdown(), | |
| title="Multi-agent customer support automation", | |
| description="A support representative answers the inquiry using the " | |
| "CrewAI docs, then a QA specialist reviews the answer.", | |
| flagging_mode="never", | |
| # The crew object is shared, so requests must run one at a time. | |
| concurrency_limit=1, | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |