文件列表:

.dockerignore (168, 2023-06-03)
Dockerfile (663, 2023-06-03)
app.py (1949, 2023-06-03)
msword_azure_tts.py (4028, 2023-06-03)
requirements.txt (142, 2023-06-03)
sample-Temple of Earth-CN.docx (15160, 2023-06-03)
sample-Temple of Earth.docx (18194, 2023-06-03)
static (0, 2023-06-03)
static\styles.css (1600, 2023-06-03)
templates (0, 2023-06-03)
templates\index.html (7813, 2023-06-03)
templates\preview.html (1649, 2023-06-03)
uploads (0, 2023-06-03)
uploads\sample.docx (14233, 2023-06-03)
uploads\screenshot.PNG (737768, 2023-06-03)
uwsgi.ini (146, 2023-06-03)

# webui-msword-Azure-tts This project is a simple web application that converts Microsoft Word (.docx and .doc), plain text (.txt) and text-based PDF (.pdf) files to MP3 format using Azure Text-to-Speech services. ## Features - Upload a Microsoft Word (.docx) file - Choose a language and voice for the Text-to-Speech conversion - Listen to the converted MP3 file - Download the converted MP3 file - Delete the converted MP3 file and the original .docx file from the server ## Installation 1. Clone the repository: ```bash git clone https://github.com/lancer1911/webui-msword-Azure-tts.git ``` 2. Change into the project directory: ```bash cd webui-msword-Azure-tts ``` 3. Install the required dependencies: ```bash pip install -r requirements.txt ``` 4. Install ffmpeg: - **On Windows:** - Download the static build from the [ffmpeg download page](https://ffmpeg.org/download.html). - Unzip the downloaded file and remember the location where you extracted it. - Add the bin folder under the extracted location to your environment variable `Path`. - To test the installation, open a new command prompt and type `ffmpeg -version`. If it was installed properly, it should display the version information. - **On macOS:** - If you have homebrew installed, you can install ffmpeg using the following command: ``` brew install ffmpeg ``` - To test the installation, open a terminal and type `ffmpeg -version`. If it was installed properly, it should display the version information. - **On Linux:** - You can install ffmpeg using the package manager of your distro. For Ubuntu, you can use the following command: ``` sudo apt install ffmpeg ``` - To test the installation, open a terminal and type `ffmpeg -version`. If it was installed properly, it should display the version information. ## Usage ### Start the Flask application ```bash python app.py ``` ### Or, start the application with uWSGI 1. Install uWSGI: ```bash pip install uwsgi ``` 2. Run uWSGI: ```bash uwsgi --ini uwsgi.ini ``` Open your web browser and navigate to `http://localhost:5321` to access the application. 3. Azure subscription key and the Region for the Azure Text-to-Speech service are needed. Follow the instructions at [BobTranslate](https://bobtranslate.com/service/translate/microsoft.html#_2-%E6%B3%A8%E5%86%8C-azure) to obtain an API key. ## Technologies - Python - Flask web framework - Azure Cognitive Services Text-to-Speech API - HTML, CSS, and JavaScript for frontend # Docker Version This repository contains a Flask-based web application that provides an interface for converting Microsoft Word documents into speech using Azure Cognitive Services Text-to-Speech API. The application is designed to run inside a Docker container, making it easy to deploy and manage. ## Features - Upload Microsoft Word documents (.docx) - Convert the text within the Word document to speech using Azure Cognitive Services Text-to-Speech API - Serve the generated audio file for playback or download - Input Azure Speech Services API key and region directly through the web interface ## Prerequisites - Docker installed on your machine - An Azure account with an active subscription - ffmpeg installed on your machine ## How to use ### Docker Hub Repository https://hub.docker.com/r/lancer1911/webui-msword-azure-tts ### 1. Pull the Docker image Pull the Docker image using the following command: ```bash docker pull lancer1911/webui-msword-azure-tts ``` ### 2. Run the Docker container Run the Docker container using the following command: ```bash docker run -d -p 5321:5321 --name webui-msword-azure-tts-container lancer1911/webui-msword-azure-tts ``` ### 3. Access the web application Open a web browser and visit `http://:5321` to access the web application. You will be prompted to enter your Azure Speech Services API key and region through the web interface. ## Or, build your own Docker ### 1. Clone the repository Clone this repository to your local machine using the following command: ```bash git clone https://github.com/lancer1911/webui-msword-azure-tts.git ``` ### 2. Build the Docker image Navigate to the root of the repository and build the Docker image using the following command: ```bash docker build -t webui-msword-azure-tts . ``` or under MacOS, using the following command (otherwise, it may build for the linux/arm***/v8 platform): ```bash docker buildx build --platform linux/amd*** -t webui-msword-azure-tts . ``` ### 3. Run the Docker container Run the Docker container using the following command: ```bash docker run -d -p 5321:5321 --name webui-msword-azure-tts-container webui-msword-azure-tts ``` ### 4. Access the web application Open a web browser and visit `http://localhost:5321` to access the web application. You will be prompted to enter your Azure Speech Services API key and region through the web interface. ## Support If you encounter any issues or have questions, please open an issue on the GitHub repository. ## License This project is licensed under the MIT License.

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