Text-to-Speech Setup using the GCP Cloud API with Python Client

GCP	TTS	Python	API

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* For Easy Installation - Execute the Script File

autoexecute.sh

This autoexecute.sh script file does all your work for preinstallation and text-to-speech processing. Just follow the steps and confirm your environment is setup appropriately.

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* Implementation

It is a straight-forward implementation, you should make sure to use the Gcloud Libraries and Packages to create an fail-free enivironment.

+ Checklists

• gcloud -v
• python3 -V
• pip3 -V
• GCP Account

Just download the package and start the Python Command to kickstart your experience in the Text-To-Speech.

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* To setup the GCP environment in local, start with the below command in the local Terminal

gcloud init

+ Authentication Use Cases

+ How to Authenticate using Client Libraries

+ Use Service Account Keys to Authenticate

Make sure you create a service account and download the service-account.json key and export it as an GOOGLE_APPLICATION_CREDENTIALS.

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* Github Source:

+ Topic 1: Read SSML from a text/ssml file

+ Topic 2: Text to Speech using text/ssml

* GCP Documentation:

+ Topic 3: TTS Synthesize SSML File

+ Topic 4: SSML Documentation

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* Prerequisite Commands in Google Codelabs:

+ Topic 5: Using the Text-to-Speech API with Python

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* Read SSML from Text File

synthesize_text_file(text_file);

This function will fetch the input_file.txt from the input arguments and will send it to GCP instance that you have instantiated. Once, it is processed, you'll get a output.mp3 file.

To pass the arguments and to run the Python Script

python3 synthesize_file.py --text input_file.txt

* Read SSML from SSML File

synthesize_text_file(ssml_file);

It is similar to the above text file. This function will fetch the input_file.ssml from the input arguments and will send it to GCP instance that you have instantiated. Once, it is processed, you'll get a output.mp3 file.

To pass the arguments and to run the Python Script

python3 synthesize_file.py --ssml input_file.ssml

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* Follow For More:

Thanks for checking this out!! ❤️