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Accessing the GLM-4 translation PDF e-book in the specified language as an MD file using the SDK method.

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SyloYamtao/chatglm4-translator

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Setting up the Runtime Environment

This project is developed using Python v3.10. The complete Python dependency packages can be found in requirements.txt.

Here are the detailed installation instructions (using Ubuntu operating system as an example):

Installing Miniconda

mkdir -p ~/miniconda3
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm -rf ~/miniconda3/miniconda.sh

After the installation is complete, it is recommended to create a new Python virtual environment named chatglm4-translator.

conda create -n chatglm4-translator python=3.10

Activate the environment

conda activate chatglm4-translator 

You will need to activate this environment every time you use it.

Installing Python Dependency Packages

Run the following command in the chatglm4-translator directory

pip install -r requirements.txt

Configuring OpenAI API Key

Depending on the command-line tool you are using, configure the ZHIPUAI_API_KEY environment variable in ~/.bashrc or ~ /.zshrc

export ZHIPUAI_API_KEY="xxxx"

Running the Project

python gradio_server.py

Successful Startup

| DEBUG    | translator.translation_chain:__init__:21 - [system_message_prompt]
 prompt=PromptTemplate(input_variables=['source_language', 'target_language'], template='You are a translation expert, proficient in various languages. \n\n            Translates {source_language} to {target_language}.')
| DEBUG    | translator.translation_chain:__init__:25 - [human_template]
 {text}
| DEBUG    | translator.translation_chain:__init__:30 - [chat_prompt_template]
 input_variables=['source_language', 'target_language', 'text'] messages=[SystemMessagePromptTemplate(prompt=PromptTemplate(input_variables=['source_language', 'target_language'], template='You are a translation expert, proficient in various languages. \n\n            Translates {source_language} to {target_language}.')), HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='{text}'))]
| DEBUG    | translator.translation_chain:__init__:33 - [chat]
 verbose=True zhipuai_api_key='************************' zhipuai_api_base='https://open.bigmodel.cn/api/paas/v4/chat/completions' temperature=0.01
Running on local URL:  http://0.0.0.0:7860
Running on public URL: https://d03027d50c07454cd2.gradio.live

This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)

If you see Running on local URL: http://0.0.0.0:7860 and Running on public URL: https://d03027d50c07454cd2.gradio.live, it means the startup was successful. Please enter any of the provided URLs in a web browser to access.

Page

img.png

Test

Example Result
THE_OLD_MAN_OF_THE_SEA.pdf THE_OLD_MAN_OF_THE_SEA_translated.md

License

This project is licensed under the terms of the Apache-2.0 license. See the LICENSE file for more details.

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Accessing the GLM-4 translation PDF e-book in the specified language as an MD file using the SDK method.

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