Using HF spaces via http request?
I want to use a gradio space hosted on HF with a http request. I am very much aware of the super simple python, js and bash integration, however I am not working in these languages.Is this possible, or am I stuck with having to use one of these other options?
2024-10-05T01:26:14Z
I heard that curl can be used, but isn’t it more difficult than Python?The get/post request contents of the Python code that uses therequestslibrary are mostly raw, so I think it can be used for curl as well.Can't Access Private Gradio Space API Endpoint Through PostmanSpacesI am trying to access my Huggingface space through a Postman request. When I copy the exported curl command, it looks like this: 
curl --location 'https://MY_SPACE_NAME_HERE.hf.space/--replicas/RANDOMDIGITS/' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer REDACTED_TOKEN_OF_MY_TOKEN_HERE' \
--data '{"data": ["data:image/jpeg;base64,PIC_IN_BASE64_HERE"]}'

But when I run this request, I get: 
{
    "detail": "Method Not Allowed"
}

How do get this request to succeed? 
Also …huggingface.coSend Requests to EndpointsWe’re on a journey to advance and democratize artificial intelligence through open source and open science.
2024-10-05T10:57:08Z
It is more difficult than python, but when not working in these specific languages, one must go with the slightly more difficult alternative.In other words, I am willing to give up ease of use to not use python.
2024-10-05T11:16:24Z
I see. If you want to use it in a compiled language, for example, you can handle it in a more complicated way.For HF, the easiest way is to use InferenceClient with Python or JS, but if that’s not possible, the next best thing is an API that returns JSON.I heard that everyone used this before InferenceClient was developed, so there should be a lot that can be done, but because of that history, there is a lot of pre-2023 information. Well, it’s still in use inside old Gradio and so on, and it should work.Hf.space/run/predict Data Aggregate howto?SpacesHi, I understand the syntax curl -X POST -H 'Content-type: application/json' --data '{ "data": ["Jill"] }' https://USER_NAME-SPACE_NAME.hf.space/run/predict 
and trying it out on a space with a simple text input e.g., 
curl -X POST -H 'Content-type: application/json' --data '{ "data": ["Jill"] }' https://tomsoderlund-rest-api-with-gradio.hf.space/run/predict

returns a nice 
{"data":["Hello Jill!"],"is_generating":false,"duration":0.00015020370483398438,"average_duration":0.00018148869276046753}…Spaces POST: response [413] 'request entity too large'SpacesI’ve successfully used the following snippet to call the classifier specified below, with small images. When using the image such as the below (< 1MB), I see 413 errors. From other forum posts I believe the file size is not the real problem here; what might I be missing? 

import requests 
import gradio as gr 
from IPython.display import Image 
from IPython.core.display import HTML 
image_url = ‘https://i.natgeofe.com/n/548467d8-c5f1-4551-9f58-6817a8d2c45e/NationalGeographic_2572187_square.jpg’ 
…