Gradio Predict API Docs

Predict API Docs for:

This interface takes in 1 input(s) and returns 1 output(s).

The URL endpoint is:

Input(s): [ Image ]

Image accepts the base64 url data as type str

Output(s): [ Image ]

Image returns the base64 url data as type str

Payload:

{

"data": [ str ]

}

Response:

{

"data": [ str ],

"durations": [ float ], # the time taken for the prediction to complete

"avg_durations": [ float ] # the average time taken for all predictions so far (used to estimate the runtime)

}

Try it (live demo):

import requests

r = requests.post(url='

json={"data":

["turtle.jpg"

]})

r.json()

curl -X POST

-H 'Content-Type: application/json' -d '{"data": ["turtle.jpg"

]}'

fetch('', { method: "POST", body: JSON.stringify({"data":[ "turtle.jpg"

]}), headers: { "Content-Type": "application/json" } }).then(function(response) { return response.json(); }).then(function(json_response){ console.log(json_response) })