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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() |