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Update app.py
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app.py
CHANGED
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@@ -4,11 +4,7 @@ from PIL import Image
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import numpy as np
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import cv2
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import tensorflow as tf # Assuming you're using TensorFlow for loading your model
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from datetime import datetime, date
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import pg8000
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import hashlib
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from typing import Annotated
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app = FastAPI()
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@@ -49,82 +45,7 @@ async def predict(upload: UploadFile = File(...)):
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raise HTTPException(status_code=500, detail=str(e))
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def get_db_connection():
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return pg8000.connect(
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user="new_hor",
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password="R99oQ4CtlfuYx6gBepBfxC78EnRAjuFB",
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host="dpg-cudg8a2j1k6c73cnc310-a.oregon-postgres.render.com",
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database="user_db_ron3"
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)
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# Password hashing function
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def hash_password(password: str) -> str:
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return hashlib.sha256(password.encode()).hexdigest()
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# Request models
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class RegisterUserRequest(BaseModel):
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email: str
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username: str
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password: str
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phone: str
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dob_day: int
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dob_month: int
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dob_year: int
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class LoginUserRequest(BaseModel):
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email: str
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password: str
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# Register user endpoint
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@app.post("/register")
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def register_user(user: RegisterUserRequest):
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try:
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password_hash = hash_password(user.password)
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conn = get_db_connection()
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM users WHERE email = %s", (user.email,))
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if cursor.fetchone():
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raise HTTPException(status_code=400, detail="Email already registered.")
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cursor.execute(
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"INSERT INTO users (email, username, password_hash, phone, dob) VALUES (%s, %s, %s, %s, %s)",
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(user.email, user.username, password_hash, user.phone, dob)
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)
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conn.commit()
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cursor.close()
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conn.close()
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return {"message": "Registration successful!"}
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except Exception as error:
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raise HTTPException(status_code=500, detail=f"Error: {error}")
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# Login user endpoint
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@app.post("/login")
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def login_user(user: LoginUserRequest):
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try:
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password_hash = hash_password(user.password)
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conn = get_db_connection()
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM users WHERE email = %s", (user.email,))
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user_record = cursor.fetchone()
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cursor.close()
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conn.close()
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if user_record and user_record[3] == password_hash: # user[3] is the password_hash field
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return {"message": "Login successful!", "email": user.email}
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else:
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raise HTTPException(status_code=400, detail="Invalid email or password.")
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except Exception as error:
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raise HTTPException(status_code=500, detail=f"Error: {error}")
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# To run the FastAPI app, use the following command:
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# uvicorn app:app --reload
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import numpy as np
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import cv2
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import tensorflow as tf # Assuming you're using TensorFlow for loading your model
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app = FastAPI()
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raise HTTPException(status_code=500, detail=str(e))
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# To run the FastAPI app, use the following command:
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# uvicorn app:app --reload
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