Introducing Gradio 5.0
Read MoreIntroducing Gradio 5.0
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To install Gradio from main, run the following command:
pip install https://gradio-builds.s3.amazonaws.com/9285dd9eb842ee05bd8a0fd4f0f9143788096bbc/gradio-5.9.1-py3-none-any.whl
*Note: Setting share=True
in
launch()
will not work.
gradio.Request(ยทยทยท)
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. In some environments, the dict-like attributes (e.g. requests.headers
, requests.query_params
) of this class are automatically converted to to dictionaries, so we recommend converting them to dictionaries before accessing attributes for consistent behavior in different environments.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()
request: fastapi.Request | None
= None
A fastapi.Request
username: str | None
= None
The username of the logged in user (if auth is enabled)
session_hash: str | None
= None
The session hash of the current session. It is unique for each page load.
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").launch()