我对 gcloud 有点陌生，我不知道如何解决这个错误:(
当我尝试将我的 API 部署到云运行时，我收到以下错误消息：
Failed to build the app. Error: unable to stream build output: The command '/bin/sh -c pip install --no-cache-dir -r requirements.txt' returned a non-zero code: 1
这是详细的日志：
[0m
[91mWARNING: You are using pip version 21.2.4; however, version 22.0.3 is available.
You should consider upgrading via the '/usr/local/bin/python -m pip install --upgrade pip' command.
[0m
unable to stream build output: The command '/bin/sh -c pip install --no-cache-dir -r requirements.txt' returned a non-zero code: 1
Failed to build the app. Error: unable to stream build output: The command '/bin/sh -c pip install --no-cache-dir -r requirements.txt' returned a non-zero code: 1
这是我要在第一个文件（snsr.py）中导入的内容：
import requests
import numpy
import time
from time import sleep
import re
import random
import math
import hashlib
from urllib.parse import unquote
这是我要在第二个文件（main.py）中导入的内容：
from flask import Flask, jsonify, request
import snsr
import os
import binascii
import hashlib
这是我的 requirements.txt 文件：
Flask==2.0.2
gunicorn==20.1.0
requests
numpy
regex
python-math
urllib3
os-win
这是我的码头工人：
# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.10-slim
# Allow statements and log messages to immediately appear in the Knative logs
ENV PYTHONUNBUFFERED True
# Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./
# Install production dependencies.
RUN pip install -r requirements.txt
# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 main:app