modules/app.py

import os
import requests
import json
from io import BytesIO

from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse, StreamingResponse

from modules.inference import infer_t5
from modules.dataset import query_emotion

# https://huggingface.co/settings/tokens
# https://huggingface.co/spaces/{username}/{space}/settings
API_TOKEN = os.getenv("BIG_GAN_TOKEN")

#app = FastAPI(docs_url=None, redoc_url=None)
app = FastAPI()

app.mount("/static", StaticFiles(directory="static"), name="static")


@app.head("/")
@app.get("/")
def index() -> FileResponse:
    return FileResponse(path="static/index.html", media_type="text/html")


@app.get("/infer_biggan")
def biggan(input):
    output = requests.request(
        "POST",
        "https://api-inference.huggingface.co/models/osanseviero/BigGAN-deep-128",
        headers={"Authorization": f"Bearer {API_TOKEN}"},
        data=json.dumps(input),
    )

    return StreamingResponse(BytesIO(output.content), media_type="image/png")


@app.get("/infer_t5")
def t5(input):
    output = infer_t5(input)

    return {"output": output}


@app.get("/query_emotion")
def emotion(start, end):
    output = query_emotion(int(start), int(end))

    return {"output": output}