Spaces:
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| import gradio as gr | |
| from threading import Thread | |
| import time | |
| import anvil.server | |
| import os | |
| anvil.server.connect('55MH4EBKM22EP4E6D5T6CVSL-VGO5X4SM6JEXGJVT') | |
| import json | |
| import ast | |
| def run_script(scriptname): | |
| # return scriptname | |
| os.system(scriptname+' > ./out.txt') | |
| with open('./out.txt','r') as f: output=f.read() | |
| return output | |
| def run_command(scriptname): | |
| os.system(scriptname+' > ./out.txt') | |
| with open('./out.txt','r') as f: output=f.read() | |
| return output | |
| def get_file(filename): | |
| m = BlobMedia('text/plain', 'Hello, world!', name='hello.txt') | |
| return m | |
| gradio_interface = gr.Interface( | |
| fn=run_script, | |
| inputs="text", | |
| outputs="text", | |
| title="REST API with Gradio and Huggingface Spaces", | |
| description='''Inputs should be json of test item e.g., as a dictionary; | |
| output right now is just returning the input; later label will be returned. | |
| This is how to call the API from Python: | |
| import requests | |
| response = requests.post("https://gmshroff-gmserver.hf.space/run/predict", json={ | |
| "data": [ | |
| "\<put some json string here\>", | |
| ]}).json() | |
| data = response["data"]) | |
| ''') | |
| gradio_interface.launch() | |