super simple text to speech with python and google colab
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sure! in this tutorial, we will create a simple text-to-speech application using python in google colab. we will utilize the `gtts` (google text-to-speech) library, which is a simple interface to google's text-to-speech api.
step 1: set up google colab
1. go to [google colab](
2. create a new notebook.
step 2: install the required library
in the first cell of your google colab notebook, you need to install the `gtts` library. you can do this by running the following command:
step 3: import necessary libraries
after installing the library, you need to import it. add the following code to a new cell:
step 4: create a text-to-speech function
now, we'll create a function that takes text input and converts it into speech. the function will save the spoken audio as an mp3 file.
step 5: use the function
now that we have our text-to-speech function, we can call it with some text. add the following code to a new cell:
step 6: download the audio file (optional)
if you want to download the audio file generated, you can add the following code to a new cell:
complete example code
here’s the complete code you can run in google colab:
notes
- the `os.system(f"mpg321 {filename}")` command may not work in google colab due to its environment restrictions. instead, you can simply download the file and play it locally.
- you can change the `lang` parameter in the `text_to_speech` function to use different languages (e.g., 'es' for spanish, 'fr' for french, etc.).
- the `slow` parameter determines the speed of the speech; setting it to `true` will slow down the speech.
conclusion
you have now created a simple text-to-speech application using python in google colab! you can expand upon this by adding more features, such as accepting user input or processing multiple texts at once. happy coding!
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