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import uvicorn
from fastapi import FastAPI, Form, Request
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
import re
from src.inference import inferenceAPI
from src.inference_t5 import inferenceAPI_t5
# ------ INFERENCE MODEL --------------------------------------------------------------
# appel de la fonction inference, adaptee pour une entree txt
def summarize(text: str):
if choisir_modele.var == 'lstm' :
return " ".join(inferenceAPI(text))
elif choisir_modele.var == "fineTunedT5":
text = inferenceAPI_t5(text)
# ----------------------------------------------------------------------------------
def choisir_modele(choixModele):
print("ON A RECUP LE CHOIX MODELE")
if choixModele == "lstm" :
choisir_modele.var ='lstm'
elif choixModele == "fineTunedT5":
choisir_modele.var = "fineTunedT5"
else :
"le modele n'est pas defini"
# -------- API ---------------------------------------------------------------------
app = FastAPI()
# static files pour envoi du css au navigateur
templates = Jinja2Templates(directory="templates")
app.mount("/templates", StaticFiles(directory="templates"), name="templates")
@app.get("/")
async def index(request: Request):
return templates.TemplateResponse("index.html.jinja", {"request": request})
@app.get("/model")
async def index(request: Request):
return templates.TemplateResponse("index.html.jinja", {"request": request})
@app.get("/predict")
async def index(request: Request):
return templates.TemplateResponse("index.html.jinja", {"request": request})
@app.post("/model")
async def choix_model(request: Request, choixModel:str = Form(None)):
print(choixModel)
if not choixModel:
erreur_modele = "Merci de saisir un modèle."
return templates.TemplateResponse(
"index.html.jinja", {"request": request, "text": erreur_modele}
)
else :
choisir_modele(choixModel)
print("C'est bon on utilise le modèle demandé")
return templates.TemplateResponse(
"index.html.jinja", {"request": request}
)
# retourner le texte, les predictions et message d'erreur si formulaire envoye vide
@app.post("/predict")
async def prediction(request: Request, text: str = Form(None)):
if not text:
error = "Merci de saisir votre texte."
return templates.TemplateResponse(
"index.html.jinja", {"request": request, "text": error}
)
else:
summary = summarize(text)
return templates.TemplateResponse(
"index.html.jinja", {"request": request, "text": text, "summary": summary}
)
# ------------------------------------------------------------------------------------
# lancer le serveur et le recharger a chaque modification sauvegardee
# if __name__ == "__main__":
# uvicorn.run("api:app", port=8000, reload=True)
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