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22a70b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | # app/main.py
import shutil
import os
import uuid
from fastapi import FastAPI, Request, File, UploadFile, Form
from fastapi.responses import HTMLResponse
from fastapi.templating import Jinja2Templates
from fastapi.staticfiles import StaticFiles
from app.predict import predict_image
app = FastAPI()
templates = Jinja2Templates(directory="app/templates")
app.mount("/static", StaticFiles(directory="app/static"), name="static")
os.makedirs("app/uploads", exist_ok=True)
app.mount("/uploads", StaticFiles(directory="app/uploads"), name="uploads")
@app.get("/", response_class=HTMLResponse)
async def index(request: Request):
return templates.TemplateResponse("main.html", {"request": request})
@app.get("/model-info", response_class=HTMLResponse)
async def model_info(request: Request):
return templates.TemplateResponse("model_info.html", {"request": request})
@app.post("/upload-image", response_class=HTMLResponse)
async def upload_image(request: Request, file: UploadFile = File(...)):
unique_filename = f"{uuid.uuid4().hex}_{file.filename}"
file_path = f"app/uploads/{unique_filename}"
with open(file_path, "wb") as buffer:
shutil.copyfileobj(file.file, buffer)
return templates.TemplateResponse("main.html", {
"request": request,
"image_path": f"/uploads/{unique_filename}"
})
@app.post("/predict", response_class=HTMLResponse)
async def predict(request: Request, image_path: str = Form(...)):
label, confidence, all_predictions = predict_image(f"app{image_path}")
confidence_percent = f"{confidence * 100:.2f}%"
return templates.TemplateResponse("main.html", {
"request": request,
"image_path": image_path,
"label": label,
"confidence": confidence_percent,
"predictions": all_predictions
})
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