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from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.responses import RedirectResponse
from fastapi.staticfiles import StaticFiles
from inference import predict_emotions
app = FastAPI()
# app.add_middleware(
# CORSMiddleware,
# allow_origins=allowed_hosts,
# allow_credentials=True,
# allow_methods=["*"],
# allow_headers=["*"],
# )
app.mount("/static", StaticFiles(directory='static', html=True))
@app.get('/')
async def redirect_to_static_index():
return RedirectResponse(url='/static/index.html')
class EmotionRequest(BaseModel):
text: str
@app.post('/predict_emotion')
async def predict(request: EmotionRequest):
return predict_emotions(request.text)
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