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To install Gradio from main, run the following command:

pip install https://gradio-builds.s3.amazonaws.com/3ab30eefe0cfd2e9c4a23989381e5c583a92c69d/gradio-4.29.0-py3-none-any.whl

*Note: Setting share=True in launch() will not work.

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mount_gradio_app โ†’

Request 

gradio.Request(ยทยทยท)

Description

A Gradio request object that can be used to access the request headers, cookies, query parameters and other information about the request from within the prediction function. The class is a thin wrapper around the fastapi.Request class. Attributes of this class include: headers, client, query_params, session_hash, and path_params. If auth is enabled, the username attribute can be used to get the logged in user.

Example Usage 

import gradio as gr
def echo(text, request: gr.Request):
    if request:
        print("Request headers dictionary:", request.headers)
        print("IP address:", request.client.host)
        print("Query parameters:", dict(request.query_params))
        print("Session hash:", request.session_hash)
    return text
io = gr.Interface(echo, "textbox", "textbox").launch()

Initialization

Parameter Description
request

fastapi.Request | None

default: None

A fastapi.Request
username

str | None

default: None

The username of the logged in user (if auth is enabled)
session_hash

str | None

default: None

The session hash of the current session. It is unique for each page load.

Demos

import gradio as gr def predict(text, request: gr.Request): headers = request.headers host = request.client.host user_agent = request.headers["user-agent"] return { "ip": host, "user_agent": user_agent, "headers": headers, } gr.Interface(predict, "text", "json").queue().launch()
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mount_gradio_app โ†’