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| # How to poop like a cat? | |
| import gradio as gr | |
| # Use a pipeline as a high-level helper | |
| from transformers import pipeline | |
| pipe = pipeline("text-generation", model="") | |
| messages = [ | |
| {"role": "user", "content": "Who are you?"}, | |
| ] | |
| pipe(messages) | |
| # Create Gradio interface | |
| # | |
| #iface = gr.Interface(fn=generate_response, inputs="text", outputs="text") | |
| #iface.launch() | |
| # | |
| title = "Ask Rick a Question" | |
| description = """ | |
| The bot was trained to answer questions based on Rick and Morty dialogues. Ask Rick anything! | |
| <img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px> | |
| """ | |
| article = "Check out [the original Rick and Morty Bot](https://huggingface.co/spaces/kingabzpro/Rick_and_Morty_Bot) that this demo is based off of." | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs="textbox", | |
| outputs="text", | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=[["What are you doing?"], ["Where should we time travel to?"]], | |
| )iface.launch() |