app.py

from fastapi import FastAPI
from pydantic import BaseModel
from typing import Optional
from transformers import pipeline

app = FastAPI()
summarizer = pipeline(
    "summarization", 
    # model="Falconsai/text_summarization"
    model="pszemraj/long-t5-tglobal-base-16384-book-summary"
)


class InputText(BaseModel):
    text: str


app = FastAPI()

@app.get("/")
def greet_json():
    return {"Hello": "World!"}


@app.post("/summary")
def summary(inp: InputText):
    print(inp.text)
    return summarizer(inp.text[:3600], max_length=2048, min_length=30, do_sample=False)