app.py

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 my_inference_function(name):
#   print(ast.literal_eval(name)['name'])
    os.system(name+' > ./out.txt')
    with open('./out.txt','r') as f: output=f.read()
    return output
#  return "Input Data: " + name + ", stay tuned for ML models from this API"

gradio_interface = gr.Interface(
  fn=my_inference_function,
  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()