api update
Browse files
app.py
CHANGED
@@ -8,6 +8,11 @@ import gradio as gr
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import numpy
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import requests
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from itertools import chain
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from common import (
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CLIENT_TMP_PATH,
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@@ -19,11 +24,6 @@ from common import (
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SERVER_URL,
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)
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import requests
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from requests.adapters import HTTPAdapter
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from requests.packages.urllib3.util.retry import Retry
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import logging
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# Set up logging
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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import numpy
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import requests
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from itertools import chain
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from client_server_interface import FHEClient
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import requests
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from requests.adapters import HTTPAdapter
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from requests.packages.urllib3.util.retry import Retry
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import logging
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from common import (
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CLIENT_TMP_PATH,
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SERVER_URL,
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)
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# Set up logging
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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server.py
CHANGED
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"""Server that will listen for GET and POST requests from the client."""
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import time
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from typing import List
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from fastapi.responses import JSONResponse, Response
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from concrete.ml.deployment import FHEModelServer
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)
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# Load the server object for seizure detection
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FHE_SERVER = FHEModelServer(DEPLOYMENT_DIR)
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def get_server_file_path(name, user_id):
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"""Get the correct temporary file path for the server.
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Args:
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name (str): The desired file name.
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user_id (int): The current user's ID.
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Returns:
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pathlib.Path: The file path.
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"""
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return SERVER_TMP_PATH / f"{name}_seizure_detection_{user_id}"
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# Initialize an instance of FastAPI
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app = FastAPI()
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#
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@app.post("/send_input")
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def send_input(
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"
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) as evaluation_key:
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encrypted_image.write(files[0].file.read())
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evaluation_key.write(files[1].file.read())
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@app.post("/run_fhe")
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def run_fhe(
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user_id: str = Form(),
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):
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"""Execute seizure detection on the encrypted input image using FHE."""
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@app.post("/get_output")
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def get_output(
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user_id: str = Form(),
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):
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"""Retrieve the encrypted output."""
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"""Server that will listen for GET and POST requests from the client."""
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import time
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import logging
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from pathlib import Path
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from typing import List
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from fastapi import FastAPI, File, Form, UploadFile, HTTPException
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from fastapi.responses import JSONResponse, Response
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from fastapi.middleware.cors import CORSMiddleware
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from concrete.ml.deployment import FHEModelServer
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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app = FastAPI()
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# Add CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allows all origins
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allow_credentials=True,
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allow_methods=["*"], # Allows all methods
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allow_headers=["*"], # Allows all headers
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)
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# Initialize the FHE server
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DEPLOYMENT_DIR = Path(__file__).parent / "deployment_files"
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FHE_SERVER = FHEModelServer(DEPLOYMENT_DIR)
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def get_server_file_path(file_type: str, user_id: str) -> Path:
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"""Get the path to a file on the server."""
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return Path(__file__).parent / "server_tmp" / f"{file_type}_{user_id}"
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@app.post("/send_input")
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async def send_input(user_id: str = Form(), files: List[UploadFile] = File(...)):
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"""Receive the encrypted input image and the evaluation key from the client."""
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try:
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for file in files:
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file_path = get_server_file_path(file.filename.split("_")[0], user_id)
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with file_path.open("wb") as buffer:
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content = await file.read()
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buffer.write(content)
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return JSONResponse(content={"message": "Files received successfully"})
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except Exception as e:
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logger.error(f"Error in send_input: {str(e)}")
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raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
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@app.post("/run_fhe")
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def run_fhe(user_id: str = Form()):
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"""Execute seizure detection on the encrypted input image using FHE."""
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logger.info(f"Starting FHE execution for user {user_id}")
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try:
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# Retrieve the encrypted input image and the evaluation key paths
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encrypted_image_path = get_server_file_path("encrypted_image", user_id)
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evaluation_key_path = get_server_file_path("evaluation_key", user_id)
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# Check if files exist
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if not encrypted_image_path.exists() or not evaluation_key_path.exists():
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raise FileNotFoundError("Required files not found")
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# Read the files using the above paths
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with encrypted_image_path.open("rb") as encrypted_image_file, evaluation_key_path.open("rb") as evaluation_key_file:
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encrypted_image = encrypted_image_file.read()
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evaluation_key = evaluation_key_file.read()
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# Run the FHE execution
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start = time.time()
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encrypted_output = FHE_SERVER.run(encrypted_image, evaluation_key)
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fhe_execution_time = round(time.time() - start, 2)
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# Retrieve the encrypted output path
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encrypted_output_path = get_server_file_path("encrypted_output", user_id)
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# Write the file using the above path
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with encrypted_output_path.open("wb") as encrypted_output_file:
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encrypted_output_file.write(encrypted_output)
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logger.info(f"FHE execution completed for user {user_id} in {fhe_execution_time} seconds")
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return JSONResponse(content=fhe_execution_time)
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except Exception as e:
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logger.error(f"Error in run_fhe for user {user_id}: {str(e)}")
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raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
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@app.post("/get_output")
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def get_output(user_id: str = Form()):
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"""Retrieve the encrypted output."""
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try:
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# Retrieve the encrypted output path
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encrypted_output_path = get_server_file_path("encrypted_output", user_id)
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# Check if file exists
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if not encrypted_output_path.exists():
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raise FileNotFoundError("Encrypted output file not found")
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# Read the file using the above path
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with encrypted_output_path.open("rb") as encrypted_output_file:
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encrypted_output = encrypted_output_file.read()
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return Response(encrypted_output)
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except Exception as e:
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logger.error(f"Error in get_output for user {user_id}: {str(e)}")
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raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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