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import uvicorn | |
from fastapi import FastAPI, Form, Request | |
from fastapi.staticfiles import StaticFiles | |
from fastapi.templating import Jinja2Templates | |
from inference import inferenceAPI | |
# ------ MODELE -------------------------------------------------------------- | |
# appel de la fonction inference, adaptee pour une entree txt | |
def summarize(text: str): | |
return " ".join(inferenceAPI(text)) | |
# ---------------------------------------------------------------------------------- | |
# -------- API --------------------------------------------------------------------- | |
app = FastAPI() | |
# static files pour envoi du css au navigateur | |
templates = Jinja2Templates(directory="templates") | |
app.mount("/templates", StaticFiles(directory="templates"), name="templates") | |
async def index(request: Request): | |
return templates.TemplateResponse("index.html.jinja", {"request": request}) | |
# retourner le texte, les predictions et message d'erreur si formulaire envoye vide | |
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) | |