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docs/Whisper/RemoveTimestampsAPI.md

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+# API Documentation for `Lenylvt/Whisper_Timestamps_Remover-API`
+This guide provides instructions for interacting with the Whisper Timestamps Remover API using Python and JavaScript.
+
+## API Endpoint
+
+This API is accessible via the `gradio_client` Python library [docs](https://www.gradio.app/guides/getting-started-with-the-python-client) or the `@gradio/client` JavaScript package [docs](https://www.gradio.app/guides/getting-started-with-the-js-client).
+
+## Python Usage
+
+### Step 1: Installation
+
+Ensure you have the `gradio_client` library installed before proceeding.
+
+```python
+pip install gradio_client
+```
+
+### Step 2: Making a Request
+
+Find the API endpoint relevant to the function you're interested in. Replace the placeholders in the code snippet below with your specific input data. If accessing a private Space, your Hugging Face token may be required.
+
+**API Name**: `/predict`
+
+```python
+from gradio_client import Client
+
+client = Client("Lenylvt/Whisper_Timestamps_Remover-API")
+result = client.predict(
+    "Hello!!",  # Input text as a string in 'text' Textbox component
+    api_name="/predict"
+)
+print(result)
+```
+
+**Return Type(s):**
+
+- A `str` representing the processed output in the 'output' Textbox component.
+
+## JavaScript Usage
+
+### Step 1: Installation
+
+First, make sure the `@gradio/client` package is installed in your project.
+
+```bash
+npm i -D @gradio/client
+```
+
+### Step 2: Making a Request
+
+As in Python, locate the API endpoint for the functionality you need. Replace the placeholders with your data. Include your Hugging Face token if accessing a private Space.
+
+**API Name**: `/predict`
+
+```javascript
+import { client } from "@gradio/client";
+
+const app = await client("Lenylvt/Whisper_Timestamps_Remover-API");
+const result = await app.predict("/predict", [
+    "Hello!!",  // Input text as a string in 'text' Textbox component
+]);
+
+console.log(result.data);
+```
+
+**Return Type(s):**
+
+- A `string` representing the processed output in the 'output' Textbox component.