File size: 1,063 Bytes
51857fd
f276882
 
 
01531ac
 
 
 
 
 
 
 
f276882
 
 
51857fd
 
 
 
1878582
f276882
1878582
 
 
f276882
 
6667ce7
 
 
 
1878582
51857fd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
import gradio
import subprocess

def run_command(command):
    process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
                output, error = process.communicate()
                if process.returncode == 0:
                    result = output.decode('utf-8')
                    return result
                else:
                    result = error.decode('utf-8')
                    return result

# Example usage


def my_inference_function(name):
  return "Hello " + name + "!"

gradio_interface = gradio.Interface(
  fn=run_command,
  inputs="text",
  outputs="text",
  examples=[
    ["ls -l"],
    ["pip install bs4"]
  ],
  title="REST API with Gradio and Huggingface Spaces",
  description="This is a demo of how to build an AI powered REST API with Gradio and Huggingface Spaces – for free! Based on [this article](https://www.tomsoderlund.com/ai/building-ai-powered-rest-api). See the **Use via API** link at the bottom of this page.",
  article="© Tom Söderlund 2022"
)
gradio_interface.launch()