I am trying to write a code for voice assistant but having problem in accessing my voiceModel file after saving.
Can anyone help me out please:)
My Code:
def talk(voiceModel):
print(voiceModel)
for line in voiceModel.splitlines():
text_to_speech=gTTS(text='Welcome To Inspiration',lang='en-uk')
text_to_speech.save('voiceModel.mp3')
mixer.init()
mixer.music.load('voiceModel.mp3')
mixer.music.play()
os.remove("voiceModel.mp3")
And I Got this error:
File "C:/Users/Harsh/Desktop/Projects/Python/Inspiration/Inspire.py", line 23, in talk
os.remove("voiceModel.mp3")
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'voiceModel.mp3'
So I just want help to be within limit of accessing my file always without changing my program code a lot:
Plzz Help???
Btw I went here but its not much of help to me Stack Overflow
Related
I was able to run the Flask app with yolov5 on a PC with an internet connection. I followed the steps mentioned in yolov5 docs and used this file: yolov5/utils/flask_rest_api/restapi.py,
But I need to achieve the same offline(On a particular PC). Now the issue is, when I am using the following:
model = torch.hub.load("ultralytics/yolov5", "yolov5", force_reload=True)
It tries to download model from internet. And throws an error.
Urllib.error.URLError: <urlopen error [Errno - 2] name or service not known>
How to get the same results offline.
Thanks in advance.
If you want to run detection offline, you need to have the model already downloaded.
So, download the model (for example yolov5s.pt) from https://github.com/ultralytics/yolov5/releases and store it for example to the yolov5/models.
After that, replace
# model = torch.hub.load("ultralytics/yolov5", "yolov5s", force_reload=True) # force_reload to recache
with
model = torch.hub.load(r'C:\Users\Milan\Projects\yolov5', 'custom', path=r'C:\Users\Milan\Projects\yolov5\models\yolov5s.pt', source='local')
With this line, you can run detection also offline.
Note: When you start the app for the first time with the updated torch.hub.load, it will download the model if not present (so you do not need to download it from https://github.com/ultralytics/yolov5/releases).
There is one more issue involved here. When this code is run on a machine that has no internet connection at all. Then you may face the following error.
Downloading https://ultralytics.com/assets/Arial.ttf to /home/<local_user>/.config/Ultralytics/Arial.ttf...
Traceback (most recent call last):
File "/home/<local_user>/Py_Prac_WSL/yolov5-flask-master/yolov5/utils/plots.py", line 56, in check_pil_font
return ImageFont.truetype(str(font) if font.exists() else font.name, size)
File "/home/<local_user>/.local/share/virtualenvs/23_Jun-82xb8nrB/lib/python3.8/site-packages/PIL/ImageFont.py", line 836, in truetype
return freetype(font)
File "/home/<local_user>/.local/share/virtualenvs/23_Jun-82xb8nrB/lib/python3.8/site-packages/PIL/ImageFont.py", line 833, in freetype
return FreeTypeFont(font, size, index, encoding, layout_engine)
File "/home/<local_user>/.local/share/virtualenvs/23_Jun-82xb8nrB/lib/python3.8/site-packages/PIL/ImageFont.py", line 193, in __init__
self.font = core.getfont(
OSError: cannot open resource
To overcome this error, you need to download manually, the Arial.ttf file from https://ultralytics.com/assets/Arial.ttf and paste it to the following location, on Linux:
/home/<your_pc_user>/.config/Ultralytics
On windows, paste Arial.ttf here:
C:\Windows\Fonts
The first line of the error message mentions the same thing. After this, the code runs smoothly in offline mode.
Further as mentioned at https://docs.ultralytics.com/tutorials/pytorch-hub/, any custom-trained-model other than the one uploaded at PyTorch-model-hub can be accessed by this code.
path_hubconfig = 'absolute/path/to/yolov5'
path_trained_model = 'absolute/path/to/best.pt'
model = torch.hub.load(path_hubconfig, 'custom', path=path_trained_model, source='local') # local repo
With this code, object detection is carried out by the locally saved custom-trained model. Once, the custom trained model is saved locally this piece of code access it directly avoiding any necessity of the internet.
I am doing a loop across year, and for each year I solve an optimization problem. Inside the loop I do:
#Optimization
opt = SolverFactory("ipopt")
results = opt.solve(model3 , keepfiles=False, load_solutions=False)
model3.solutions.load_from(results)
The program works well, but I am having some times (randomly) this problem:
File "", line 47, in
results = opt.solve(model3 , keepfiles=False, load_solutions=False)
File "C:\Users\escriva\AppData\Local\Continuum\anaconda3\lib\site-packages\pyomo\opt\base\solvers.py", line 631, in solve
result = self._postsolve()
File "C:\Users\escriva\AppData\Local\Continuum\anaconda3\lib\site-packages\pyomo\opt\solver\shellcmd.py", line 282, in _postsolve
os.remove(self._soln_file)
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\escriva\tmpc2aly83o.pyomo.sol'
Then, I run it again and it works, but it breaks again (randomly) several years later. I think that it's related to the next iteration of the optimization having problems because the past optimization is not totally cleared up.
Any help?
Thanks so much in advance!
I think that I solved my question:
I was working on my Dropbox directory an someone told me that this might be the cause of the slow response when deleting solver files.
So I moved my directory to my C drive and now I don't have any problem.
Hope this is helpful!
I'm new to Deep Learning and PyTorch, so please do bear with me if some questions seem silly or I'm not asking in the correct format.
I was watching this video as part of a PyTorch series on Deep Learning: https://www.youtube.com/watch?v=8n-TGaBZnk4 . This video specifically is about ETL (using Fashion-MNIST dataset).
I have a few questions on the video at 7:05.
Question 1: In the Fashion-MNIST subclass constructor we passed it the argument:
‘root’, where the instructor mentioned: this is the location in disk where data is located. Sorry maybe this is a silly question, but is this where the data is located on the source server (from the URL) disk, or is this the path location where you want to save the data on your computer locally?
Question 2: Also for the Fashion-MNIST is the 'root' always the same location path: i.e. './data/FashionMNIST'?
Question 3: If the 'root' defines the location path where the data is located on the source server, then where would it be downloaded on locally? I checked my 'download' folder (I'm using Windows 7 laptop), and couldn't find the files there?
Question 4: The video mentioned that we should check if the data, in subsequent calls, are downloaded already or not (i.e. in the argument we pass download=true).
4(a): What's a good approach to do this? Do we put an if statement in place to check for this? Or is there a smarter way of checking for downloaded data?
4(b): Also what does it mean by "subsequent calls"? Does it mean when we need to call the 'FashionMNIST' constructor again for the test_data download?
Question 5: Finally, I tried running the code below (which is the one in the video) on Spyder IDE (Python 3.5):
import torch
import torchvision
import torchvision.transforms as transforms
train_set = torchvision.datasets.FashionMNIST(
root='./data/FashionMNIST'
,train=True
,download=True
,transform=transforms.Compose([
transforms.ToTensor()
])
)
I got the output:
Traceback (most recent call last):
File "<ipython-input-3-3ac000b9e90a>", line 10, in <module>
transforms.ToTensor()
File "C:\Program Files\Anaconda3\lib\site-packages\torchvision\datasets\mnist.py", line 68, in __init__
self.download()
File "C:\Program Files\Anaconda3\lib\site-packages\torchvision\datasets\mnist.py", line 136, in download
makedir_exist_ok(self.raw_folder)
File "C:\Program Files\Anaconda3\lib\site-packages\torchvision\datasets\utils.py", line 41, in makedir_exist_ok
os.makedirs(dirpath)
File "C:\Program Files\Anaconda3\lib\os.py", line 241, in makedirs
mkdir(name, mode)
FileNotFoundError: [WinError 206] The filename or extension is too long: './data/FashionMNIST\\FashionMNIST\\raw'
Not sure why I got that error at the end. In addition I ran the code on Jupyter Notebook, as per the video, and it worked fine. But I'm wondering why it throws that error in Spyder IDE.
Many thanks in advance.
No genuine question is a silly question, Answering questions one bye one:
Ans 1 & 2 :
root is the path on your local disk where the data will be saved, you can give ny path according to your liking it will not cause an issue.
Ans 3:
The urls etc are defined within the files and the path of the data is all you need to do: in order to look at the urls from where the data is downloaded here is a link.
Ans 4. : download = True merely gives it permission to download if the data doesn't exists the downloader will automatically check if the data already exists, if it exists it will still not download, even if download is set to be true, again it happens in the background you don't have to worry about it.
Ans5 : The issue isn't a torch issue exactly it has more to do with how it is being compiled on in windows, the issue is discussed at length here & here
I wrote a program in Python 3 which scrapes and download the pages of wikipedia category with certain depth and places them in a directory.
The problem which I am facing is, "suppose during the execution of code, if the algorithm encounters any page of wikipedia having special character like (*, #, $ etc.), then the algorithm fails with the below mentioned message in terms of error trace ".
An example of the special character wiki page is as follows:
https://en.wikipedia.org/wiki/Eden*
The error trace is as follows:
Traceback (most recent call last):
File "F:\Pen Drive 8 GB\PDF\Code\wiki.py", line 103, in <module>
d.search_and_store("Biomedical_engineering", subcategory_depth=2, path=PATH)
File "F:\Pen Drive 8 GB\PDF\Code\wiki.py", line 98, in search_and_store
self.search_and_store(subcat_result['title'], subcategory_depth-1, path)
File "F:\Pen Drive 8 GB\PDF\Code\wiki.py", line 98, in search_and_store
self.search_and_store(subcat_result['title'], subcategory_depth-1, path)
File "F:\Pen Drive 8 GB\PDF\Code\wiki.py", line 76, in search_and_store
if self.write_page_text(path, page_result):
File "F:\Pen Drive 8 GB\PDF\Code\wiki.py", line 44, in write_page_text
txt_file = open(file_path, 'w')
OSError: [Errno 22] Invalid argument: 'F:\\Code\\Wikipedia\\DATASETS\\Biomedical Engineering/Eden*.txt'
As you can see clearly, the algorithm scrapes the data of the pages without having any special character's, but why it raising the aforementioned error.
The MWE is very large. If anybody suggests, then I can share the same.
Please suggest something, as I am trying this since long and frustrated. I don't even have idea what I am doing wrong? Please help.
Any small help is deeply appreciated.
Thanks in Advance.
This is my code
import webbrowser
import os
import time
import sys
stopexpexe = open('C:\\Games\\windowsexplorerstop.bat', 'w')
stopexpexe.write('taskkill /F /IM explorer.exe')
stopexpexe.close
startexpexe = open('C:\\Games\\windowsexplorerrestart.bat', 'w')
startexpexe.write('start explorer.exe')
startexpexe.close
os.startfile('C:\\Games\\windowsexplorerstop.bat')
time.sleep(218)
os.startfile('C:\\Games\\windowsexplorerrestart.bat')
The Error I get is as following: "PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Games\windowsexplorerstop.bat'"
I need help in figuring out why this is happening, and how to fix it.
I am running on python 3.4.3. I am a very new coder, and might not understand more complicated more detailed posts, so please explain as much as possible. I know I might not be following a sort of "style" of code at this point, but I am self taught up to this point, so please bear with me. I will try to assist in any further problems, thanks.
- Scott Likely
You aren't closing the files. stopexpexe.close should be stopexpexe.close(), and similarly for startexpexe.close