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sadafwalliyani/TextConversionUsing

sourceHugging Faceupdated 2y agoView on Hugging Face
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main.py20 linesDownload Raw Back to root
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@app.get("/infer_t5")
12def t5(input):
13    output = pipe_flan(input)
14    return {"output": output[0]["generated_text"]}
15
16app.mount("/", StaticFiles(directory="static", html=True), name="static")
17
18@app.get("/")
19def index() -> FileResponse:
20    return FileResponse(path="/app/static/index.html", media_type="text/html")