Spaces:
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from fastapi import FastAPI | |
from transformers import pipeline | |
description = """ | |
## Text Generation with π€ transformers, FastAPI, and Docker | |
This app shows how to do text generation with Flan-T5 using FastAPI in a Docker Space π | |
Check out the [`/generate`](#/default/generate_generate_get) endpoint below to try it out! | |
""" | |
# NOTE - we configure docs_url to serve the interactive Docs at the root path | |
# of the app. This way, we can use the docs as a landing page for the app on Spaces. | |
app = FastAPI(docs_url="/", description=description) | |
pipe = pipeline("text2text-generation", model="google/flan-t5-small") | |
def generate(text: str): | |
""" | |
Using the text2text-generation pipeline from `transformers`, generate text | |
from the given input text. The model used is `google/flan-t5-small`, which | |
can be found [here](https://huggingface.co/google/flan-t5-small). | |
""" | |
output = pipe(text) | |
return {"output": output[0]["generated_text"]} |