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import gradio
import subprocess
def run_command(command):
try:
result = subprocess.run(
command,
shell=True,
check=True,
text=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
input=None # You can provide input to the command here as a string
)
return result.stdout.strip()
except subprocess.CalledProcessError as e:
return f"Error: {e}"
except Exception as e:
return f"An error occurred: {e}"
# 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()
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