напиши виджит чата для googlechrome 
вот апи чата 
1. Install the javascript client (docs) if you don't already have it installed.

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$ npm i -D @gradio/client
2. Find the API endpoint below corresponding to your desired function in the app. Copy the code snippet, replacing the placeholder values with your own input data. If this is a private Space, you may need to pass your Hugging Face token as well (read more). Or use the 
API Recorder

 to automatically generate your API requests.

api_name: /enable_inputs
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import { Client } from "@gradio/client";

const client = await Client.connect("yuntian-deng/o1mini");
const result = await client.predict("/enable_inputs", { 
});

console.log(result.data);
Accepts 0 parameters:
Returns 1 element
api_name: /reset_textbox
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import { Client } from "@gradio/client";

const client = await Client.connect("yuntian-deng/o1mini");
const result = await client.predict("/reset_textbox", { 
});

console.log(result.data);
Accepts 0 parameters:
Returns 1 element
string

The output value that appears in the "Type an input and press Enter" Textbox component.

api_name: /predict
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import { Client } from "@gradio/client";

const client = await Client.connect("yuntian-deng/o1mini");
const result = await client.predict("/predict", { 		
		inputs: "Hello!!", 		
		top_p: 0, 		
		temperature: 0, 		
		chat_counter: 3, 		
		chatbot: [["Hello!",None]], 
});

console.log(result.data);
Accepts 5 parameters:
inputs string Required

The input value that is provided in the "Type an input and press Enter" Textbox component.

top_p number Default: 1

The input value that is provided in the "Top-p (nucleus sampling)" Slider component.

temperature number Default: 1

The input value that is provided in the "Temperature" Slider component.

chat_counter number Default: 0

The input value that is provided in the "parameter_16" Number component.

chatbot any Default: []

The input value that is provided in the "parameter_4" Chatbot component.

Returns list of 4 elements
[0]

The output value that appears in the "value_4" Chatbot component.

[1] number

The output value that appears in the "value_16" Number component.

[2] string

The output value that appears in the "Status code from OpenAI server" Textbox component.

[3] string

The output value that appears in the "Type an input and press Enter" Textbox component.

api_name: /reset_textbox_1
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import { Client } from "@gradio/client";

const client = await Client.connect("yuntian-deng/o1mini");
const result = await client.predict("/reset_textbox_1", { 
});

console.log(result.data);
Accepts 0 parameters:
Returns 1 element
string

The output value that appears in the "Type an input and press Enter" Textbox component.

api_name: /predict_1
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import { Client } from "@gradio/client";

const client = await Client.connect("yuntian-deng/o1mini");
const result = await client.predict("/predict_1", { 		
		inputs: "Hello!!", 		
		top_p: 0, 		
		temperature: 0, 		
		chat_counter: 3, 		
		chatbot: [["Hello!",None]], 
});

console.log(result.data);
Accepts 5 parameters:
inputs string Required

The input value that is provided in the "Type an input and press Enter" Textbox component.

top_p number Default: 1

The input value that is provided in the "Top-p (nucleus sampling)" Slider component.

temperature number Default: 1

The input value that is provided in the "Temperature" Slider component.

chat_counter number Default: 0

The input value that is provided in the "parameter_16" Number component.

chatbot any Default: []

The input value that is provided in the "parameter_4" Chatbot component.