Create app.py

app.py

@@ -0,0 +1,55 @@
+from fastapi import FastAPI, File, UploadFile, Form, HTTPException
+from deepface import DeepFace
+import os
+import uuid
+
+# FastAPI ilovasini yaratamiz
+app = FastAPI(title="Face Verification API")
+
+# Talabalarning asl rasmlari saqlanadigan papka
+STUDENT_IMAGE_DIR = "student_images"
+os.makedirs(STUDENT_IMAGE_DIR, exist_ok=True)
+
+@app.get("/")
+def read_root():
+    return {"message": "Face Verification API ishga tushdi. /verify/ manziliga POST so'rov yuborishingiz mumkin."}
+
+@app.post("/verify/")
+async def verify_face(
+    image: UploadFile = File(..., description="Kameradan olingan talaba rasmi"),
+    pinfl: str = Form(..., description="Talabaning PINFL raqami")
+):
+    live_image_path = f"{str(uuid.uuid4())}.jpg"
+    try:
+        # 1. Talabaning tizimdagi asl rasmini topish
+        student_image_path = os.path.join(STUDENT_IMAGE_DIR, f"{pinfl}.jpg")
+        if not os.path.exists(student_image_path):
+            raise HTTPException(status_code=404, detail=f"{pinfl} raqamli talaba uchun tizimda rasm topilmadi.")
+
+        # 2. Kelgan rasmni vaqtinchalik saqlash
+        with open(live_image_path, "wb") as buffer:
+            buffer.write(await image.read())
+
+        # 3. DeepFace orqali solishtirish
+        result = DeepFace.verify(
+            img1_path=student_image_path,
+            img2_path=live_image_path,
+            model_name="VGG-Face",
+            detector_backend="mtcnn"
+        )
+
+        # 4. Natijani JSON formatida qaytarish
+        similarity = (1 - result['distance']) * 100
+        return {
+            "is_match": bool(result["verified"]),
+            "similarity_percentage": round(similarity, 2),
+            "pinfl": pinfl
+        }
+    except HTTPException as e:
+        raise e
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Ichki xatolik yuz berdi: {str(e)}")
+    finally:
+        # Vaqtinchalik faylni o'chirish
+        if os.path.exists(live_image_path):
+            os.remove(live_image_path)