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Python Clarifai program stopped working inspite of no changes made

I have the following Python code to label images using Clarifai. It was a working code and had been usable for the past 6-8 months. However, for the last few days, I have been getting the error mentioned below. Note that I have not made any changes to the working version of the code for the error to creep in.
#python program to analyse an image and label it
'''
Dependencies:
pip install flask
pip install clarifai-grpc
pip install logging
'''
import json
from flask import Flask, render_template, request
import logging
import os
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_pb2, status_code_pb2
channel = ClarifaiChannel.get_json_channel()
stub = service_pb2_grpc.V2Stub(channel)
# This will be used by every Clarifai endpoint call.
# The word 'Key' is required to precede the authentication key.
metadata = (('authorization', 'Key API_KEY_HERE'),)
webapp = Flask(__name__) #creating a web application for the current python file
#decorators
#webapp.route('/')
def index():
return render_template('index.html', len=0)
#webapp.route('/' , methods = ['POST'])
def search():
if request.form['searchByURL']:
url = request.form['searchByURL']
my_request = service_pb2.PostModelOutputsRequest(
# This is the model ID of a publicly available General model.
#You may use any other public or custom model ID.
model_id='aaa03c23b3724a16a56b629203edc62c',
inputs=[
resources_pb2.Input(data=resources_pb2.Data(image=resources_pb2.Image(url=url)))
])
response = stub.PostModelOutputs(my_request, metadata=metadata)
if response.status.code != status_code_pb2.SUCCESS:
message = ["You have reached the limit for today!"]
return render_template('/index.html' , len = 1, searchResults = message)
concepts = []
for concept in response.outputs[0].data.concepts:
concepts.append(concept.name)
concepts = concepts[0:10]
return render_template('/index.html' , len = len(concepts), searchResults = concepts )
elif request.files['searchByImage']:
file = request.files['searchByImage']
file.save(file.filename)
#IMAGE INPUT:
with open(file.filename, "rb") as f:
file_bytes = f.read()
post_model_outputs_response = stub.PostModelOutputs(
service_pb2.PostModelOutputsRequest(
model_id="aaa03c23b3724a16a56b629203edc62c",
version_id="aa7f35c01e0642fda5cf400f543e7c40", # This is optional. Defaults to the latest model version.
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
image=resources_pb2.Image(
base64=file_bytes
)
)
)
]
),
metadata=metadata
)
if post_model_outputs_response.status.code != status_code_pb2.SUCCESS:
message = ["You have reached the limit for today!"]
return render_template('/index.html' , len = 1, searchResults = message)
# Since we have one input, one output will exist here.
output = post_model_outputs_response.outputs[0]
os.remove(file.filename)
concepts = []
#Predicted concepts:
for concept in output.data.concepts:
concepts.append(concept.name)
concepts = concepts[0:10]
return render_template('/index.html' , len = len(concepts), searchResults = concepts )
else:
return render_template('/index.html' , len = 1, searchResults = ["No Image entered!"] )
#run the server
if __name__ == "__main__":
logging.basicConfig(filename = 'error.log' , level = logging.DEBUG, )
webapp.run(debug=True)
Error:
Exception has occurred: ImportError
dlopen(/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/grpc/_cython/cygrpc.cpython-310-darwin.so, 0x0002): tried: '/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/grpc/_cython/cygrpc.cpython-310-darwin.so' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64e'))
File "/Users/eshaangupta/Desktop/Python-Level-4/Image Analyser.py", line 15, in <module>
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel

It looks like you are trying to run this on a different architecture than you've been in the past. You've been running on x86 (looks like likely MacOS) and now have moved to an arm architecture. I'm guessing you've upgraded to an M1 chip macbook, although maybe you've moved over to a different ARM based chip.
(mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64e'))
This is a problem with a file in grpc - specifically the library file cygrpc.cpython-310-darwin.so. I'd recommend removing gRPC and re-installing and see if that helps to resolve it.
Something like this might work:
python -m pip install --force-reinstall grpcio
(This is assuming python points to python3.10 in your system).
although I'm not sure how you've installed it so that is just a guess.

Passing a value form python file to the iOS app

I need to create and iOS app that is basically a mobile GitHub repository browser. A user passes their input and they get the search results for the repositories.
I have tried approaching it from the basic http point of view, but to na avail (check out this question):
How to print my http query results in Xcode?
And now with support from #HedgeHog I have found a piece of code which does exactly what the backend to my app should do; but is written in Python:
import requests, sys, webbrowser, bs4
print('Your GitHub repository search query:')
userInput = input()
results = requests.get('https://github.com/search?q=' + userInput + '&type=repositories'
+ ' '.join(sys.argv[1:]))
results.raise_for_status()
soup = bs4.BeautifulSoup(results.text, 'html.parser')
linkList = ['https://github.com/'+a['href'] for a in soup.select('.repo-list-item .f4 a[href]')]
As I have also learned, PythonKit doesn't support iOS apps.
Is there any way that I could put a *.py file in the Xcode project and that Xcode could run it as a function (pass an input from a Swift to the Python file, then receive an output to the Swift file)?

how to read mp3 data from google cloud using python

I am trying to read mp3/wav data from google cloud and trying to implement audio diarization technique. Issue is that I am not able to read the result which has passed by google api in variable response.
below is my python code
speech_file = r'gs://pp003231/a4a.wav'
config = speech.types.RecognitionConfig(
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
language_code='en-US',
enable_speaker_diarization=True,
diarization_speaker_count=2)
audio = speech.types.RecognitionAudio(uri=speech_file)
response = client.long_running_recognize(config, audio)
print response
result = response.results[-1]
print result
Output displayed on console is
Traceback (most recent call last):
File "a1.py", line 131, in
print response.results
AttributeError: 'Operation' object has no attribute 'results'
Can you please share your expert advice about what I am doing wrong?
Thanks for your help.

Its too late for the author of this thread. However, posting the solution for someone in future as I too had similar issue.
Change
result = response.results[-1]
to
result = response.result().results[-1]
and it will work fine

Do you have access to the wav file in your bucket? also, this is the entire code? It seems that the sample_rate_hertz and the imports are missing. Here you have the code copy/pasted from the google docs samples, but I edited it to have just the diarization function.
#!/usr/bin/env python
"""Google Cloud Speech API sample that demonstrates enhanced models
and recognition metadata.
Example usage:
python diarization.py
"""
import argparse
import io
def transcribe_file_with_diarization():
"""Transcribe the given audio file synchronously with diarization."""
# [START speech_transcribe_diarization_beta]
from google.cloud import speech_v1p1beta1 as speech
client = speech.SpeechClient()
audio = speech.types.RecognitionAudio(uri="gs://<YOUR_BUCKET/<YOUR_WAV_FILE>")
config = speech.types.RecognitionConfig(
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=8000,
language_code='en-US',
enable_speaker_diarization=True,
diarization_speaker_count=2)
print('Waiting for operation to complete...')
response = client.recognize(config, audio)
# The transcript within each result is separate and sequential per result.
# However, the words list within an alternative includes all the words
# from all the results thus far. Thus, to get all the words with speaker
# tags, you only have to take the words list from the last result:
result = response.results[-1]
words_info = result.alternatives[0].words
# Printing out the output:
for word_info in words_info:
print("word: '{}', speaker_tag: {}".format(word_info.word,
word_info.speaker_tag))
# [END speech_transcribe_diarization_beta]
if __name__ == '__main__':
transcribe_file_with_diarization()
To run the code just name it diarization.py and use the command:
python diarization.py
Also, you have to install the latest google-cloud-speech library:
pip install --upgrade google-cloud-speech
And you need to have the credentials of your service account in a json file, you can check more info here

python referencing json array

all,
I have a script I am building to find all open pull requests and compare the sha hash, however I can't seem to find them....
for repo in g.get_user().get_repos():
print (repo.full_name)
json_pulls = requests.get('https://api.github.com/repos/' + repo.full_name + '/pulls?state=open+updated=<' + str(cutoff_date.date())+ '&sort=created&order=asc')
if (json_pulls.ok):
for item in json_pulls.json():
for c in item.items():
#print(c["0"]["title"])
#print (json.dumps(state))
print(c)
The code cycles through the existing repos and list the pull requests and I get the output:
But, I can't for the life of me figure out how to collect individual fields...
I tried using the references:
print(c['title']) - not defined is the error
print(c['0']['title']) -a tubular error
what I am looking for is a simple list for each request....
title
id
state
base / sha
head / sha
Can someone please point out what I am doing wrong in referencing the json items in my python script as it is driving me crazy.
The full code as is with your help of course ... :
# py -m pip install <module> to install the imported modules below.
#
#
# Import stuff
from github import Github
from datetime import datetime, timedelta
import requests
import json
import simplejson
#
#
#declare stuff
# set the past days to search in the range
PAST = 5
# get the cut off date for the repos 10 days ago
cutoff_date = datetime.now() - timedelta(days=PAST)
#print (cutoff_date.date())
# Repo oauth key for my repo
OAUTH_KEY = "(get from github personal keys)"
# set base URL for API query
BASE_URL = 'https://api.github.com/repos/'
#
#
# BEGIN STUFF
# First create a Github instance:
g = Github(login_or_token=OAUTH_KEY, per_page=100)
# get all repositories for my account that are open and updated in the last
no. of days....
for repo in g.get_user().get_repos():
print (repo.full_name)
json_pulls = requests.get('https://api.github.com/repos/' + repo.full_name
+ '/pulls?state=open+updated=<' + str(cutoff_date.date())+
'&sort=created&order=asc')
if (json_pulls.ok):
for item in json_pulls.json():
print(item['title'], item['id'], item['state'], item['base']['sha'],
item['head']['sha'])
The repo site is a simple site, with two repos, and 1 or 2 pull requests to play against.
The idea of the script, when it is done, it to cycle through all the repos, find the pull requests that are older than x days and open, locates the sha for the branch (and sha for the master branches, to skip..... ) remove the branches that are not master branches, thus removing old code and pull requests to keep the repos tidy....

json_pulls.json() returns a list of dictionaries, so you can just do:
for item in json_pulls.json():
print (item['title'], item['id'], item['state'], item['base']['sha'], item['head']['sha'])
There's no need to iterate over item.items().

for key, value in item.items():
if (key == 'title'):
print(value)
#Do stuff with the title here
To add: Json should return as a dict, and the for command in python will default search for a key->val pair when called on dictionary.items().

python apt_pkg to obtain individual pkg details?

I've been using a combination of apt_pkg and apt libraries to obtain the following details from each package:
package.name
package.installedVersion
package.description
package.homepage
package.priority
I was able to obtain what I needed in the following manner, which I'm not entirely sure it's the best method of obtaining the results:
import apt_pkg, apt
apt_pkg.InitConfig()
apt_pkg.InitSystem()
aptpkg_cache = apt_pkg.GetCache() #Low level
apt_cache = apt.Cache() #High level
apt_cache.update()
apt_cache.open()
pkgs = {}
list_pkgs = []
for package in aptpkg_cache.Packages:
try:
#I use this to pass in the pkg name from the apt_pkg.packages
#to the high level apt_cache which allows me to obtain the
#details I need. Is it better to just stick to one library here?
#In other words, can I obtain this with just apt_pkg instead of using apt?
selected_package = apt_cache[package.name]
#Verify that the package can be upgraded
if check_pkg_status(package) == "upgradable":
pkgs["name"] = selected_package.name
pkgs["version"] = selected_package.installedVersion
pkgs["desc"] = selected_package.description
pkgs["homepage"] = selected_package.homepage
pkgs["severity"] = selected_package.prority
list_pkgs.append(pkgs)
else:
print "Package: " + package.name + " does not exist"
pass #Not upgradable?
except:
pass #This is one of the main reasons why I want to try a different method.
#I'm using this Try/Catch because there are a lot of times that when
#I pass in package.name to apt_cache[], I get error that package does not
#exists...
def check_pkg_status(package):
versions = package.VersionList
version = versions[0]
for other_version in versions:
if apt_pkg.VersionCompare(version.VerStr, other_version.VerStr)<0:
version = other_version
if package.CurrentVer:
current = package.CurrentVer
if apt_pkg.VersionCompare(current.VerStr, version.VerStr)<0:
return "upgradable"
else:
return "current"
else:
return "uninstalled"
I want to find a good way of using apt_pkg/apt to get the details for each package that's a possible upgrade/update candidate?
The way I'm currently doing this, I only get updates/upgrades for packages already in the system, even though I noticed the update manager for Debian shows me packages that I don't have in my system.

The following script is based on your python code, works on my Ubuntu 12.04, should also works with any system has python-apt 0.8+
import apt
apt_cache = apt.Cache() #High level
apt_cache.update()
apt_cache.open()
list_pkgs = []
for package_name in apt_cache.keys():
selected_package = apt_cache[package_name]
#Verify that the package can be upgraded
if selected_package.isUpgradable:
pkg = dict(
name=selected_package.name,
version= selected_package.installedVersion,
desc= selected_package.description,
homepage= selected_package.homepage,
severity= selected_package.priority)
list_pkgs.append(pkg)
print list_pkgs