EndlessDev/tutorial-google-flan-t5-small

1from fastapi import FastAPI
2from fastapi.staticfiles import StaticFiles
3from fastapi.responses import FileResponse
4
5from transformers import pipeline
6
7app = FastAPI()
8
9pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
10
11
12@app.get("/infer_t5")
13def t5(input):
14    output = pipe_flan(input)
15    return {"output": output[0]["generated_text"]}
16
17
18app.mount("/", StaticFiles(directory="static", html=True), name="static")
19
20
21@app.get("/")
22def index() -> FileResponse:
23    return FileResponse(path="/app/static/index.html", media_type="text/html")
24