ksatzke/klsTextGeneration

1 2from fastapi import FastAPI3from fastapi.staticfiles import StaticFiles4from fastapi.responses import FileResponse5 6from transformers import pipeline # pipeline for inference7 8app = FastAPI()9 10pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")11#pipe_flan = pipeline("text2text-generation", model="mithril-security/gpt-j-6B")12 13@app.get("/infer_t5")14def t5(input):15    output = pipe_flan(input)16    return {"output": output[0]["generated_text"]}17 18app.mount("/", StaticFiles(directory="static", html=True), name="static")19 20@app.get("/")21def index() -> FileResponse:22    return FileResponse(path="/app/static/index.html", media_type="text/html")23 24