docs/SRT/TextTo.md

API Documentation for Lenylvt/Text_to_SRT-API

This documentation covers how to interact with the Text_to_SRT API using both Python and JavaScript.

API Endpoint

To use this API, you can choose between the gradio_client Python library docs or the @gradio/client JavaScript package doc.

Python Usage

Step 1: Installation

First, install the gradio_client if it's not already installed.

pip install gradio_client

Step 2: Making a Request

Find the API endpoint for the function you want to use. Replace the placeholder values in the snippet below with your input data. For private Spaces, you might need to include your Hugging Face token as well.

API Name: /text_to_srt

from gradio_client import Client

client = Client("Lenylvt/Text_to_SRT-API")
result = client.predict(
    "Hello!!",  # str in 'Enter text' Textbox component
    api_name="/text_to_srt"
)
print(result)

Return Type(s):

• A filepath representing the output in the 'Download SRT File' File component.

JavaScript Usage

Step 1: Installation

For JavaScript, install the @gradio/client package if it's not already present in your project.

npm i -D @gradio/client

Step 2: Making a Request

Similar to Python, find the API endpoint that matches your desired function. Replace the placeholders with your own data. Include your Hugging Face token for private Spaces.

API Name: /text_to_srt

import { client } from "@gradio/client";

const app = await client("Lenylvt/Text_to_SRT-API");
const result = await app.predict("/text_to_srt", [        
    "Hello!!", // string in 'Enter text' Textbox component
]);

console.log(result.data);

Return Type(s):

• undefined representing the output in the 'Download SRT File' File component.