安装了NLTK，但NLTK_UTILS返回ModulenotFoundError

发布于 2025-01-24 01:12:33 字数 406 浏览 3 评论 0 原文

我正在使用Virtual Env，当我尝试导入 nltk_utils 时，我已经使用pip3安装了NLTK模块，我也将获得一个ModulenotFoundError，

>>> import nltk
>>> import nltk_utils
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'nltk_utils'

我也尝试过没有Virtualenv，但也没有运气

OS：Ubuntu

Python版本：3.9。 5

GCC：10.3.0

原文

I am using virtual env, I have installed nltk module with pip3, when I am trying to import nltk_utils I am getting a ModuleNotFoundError

>>> import nltk
>>> import nltk_utils
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'nltk_utils'

I have tried without virtualenv too but no luck

OS : Ubuntu

Python Version : 3.9.5

GCC : 10.3.0

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多孤肩上扛 2025-01-31 01:12:33

nltk_utils 没有 nltk 运送的东西。您的意思是 nltk.util ，它是 a>？

否则 nltk_utils 在某些示例中使用 nltk ，其中它是一个自定义文件，其中包含与 nltk （例如， =“ https://www.python-engineer.com/posts/chatbot-pytorch/” rel =“ nofollow noreferrer”>此聊天机器人示例 nltk_utils 应该包含的位置

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极致的悲 2025-01-31 01:12:33

添加到用户FlyingTeller的答案：
我来这里遇到了同样的问题，我遵循完全相同的tutorial < /a> 由用户FlyingTeller链接。引用导入的“ NLTK_UTILS”是在教程范围中制作的自定义文件。

解决问题：
您可以在教程创建者的github上找到“ nltk_utils”，此处：

（有关该文件的更多说明，请检查教程中链接的视频）。

更新：
您还需要文件“ model.py”，这也可以在上述链接的github上找到。
之后，您仍然可能会面临错误，就我而言，我需要将“＃火车模型”部分移至 main 中，并将标签投放到INT。调整后的代码如下：

...
if __name__ == '__main__':
    # Train the model
    for epoch in range(num_epochs):
        for (words, labels) in train_loader:
            words = words.to(device)
            labels = labels.type(torch.LongTensor) # <- Fix from here: https://stackoverflow.com/a/71149364/18456868
            labels = labels.to(device)

            # Forward pass
            outputs = model(words)
...

之后，我使它起作用：
在培训大约3分钟后的脚本输出

Adding to the answer of user FlyingTeller:
I came here having the same problem, and i followed the exact same tutorial as linked by user FlyingTeller. The referenced import "nltk_utils" is a custom file made in the scope of the tutorial.

Solving the problem:
You can find "nltk_utils" at the github of the tutorial creator, here:
https://github.com/patrickloeber/pytorch-chatbot/blob/master/nltk_utils.py
(for more explanation about that file, check the video that is linked in the tutorial).

Update:
You also need the file "model.py", which is found at the above linked github, too.
After that, you may still face errors, in my case i needed to move the "# train model" part into main and also cast the labels to int. The adjusted code looks as follows:

...
if __name__ == '__main__':
    # Train the model
    for epoch in range(num_epochs):
        for (words, labels) in train_loader:
            words = words.to(device)
            labels = labels.type(torch.LongTensor) # <- Fix from here: https://stackoverflow.com/a/71149364/18456868
            labels = labels.to(device)

            # Forward pass
            outputs = model(words)
...

After that, i got it working:
Output of script after about 3 minutes of training

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