mCodeGPT / app.py
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import gradio as gr
import subprocess
def greet(name):
def run_command(command):
result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
output_string = result.stdout
error_string = result.stderr
output_string, error_string= run_command("pip install optogpt")
return "Hello " + output_string + error_string + "!"
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()
# def greet(name1, name2, name3, name4):
# # Storing each input in a variable, you can process or save them as you like
# str1 = name1
# str2 = name2
# str3 = name3
# str4 = name4
# with open('abstractsave.txt', 'w') as f:
# f.write(name4)
# def run_command(command):
# result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
# output_string = result.stdout
# error_string = result.stderr
# return output_string, error_string
# ###### output_string1, error_string1= run_command("pip install optogpt")
# output_string1, error_string1=run_command("curl -sSL https://install.python-poetry.org | python3 -")
# output_string2, error_string2= run_command(f"poetry run runoak set-apikey -e openai {str1}")
# run_command(f"poetry run runoak set-apikey -e bioportal {str2}")
# run_command(f"poetry run runoak set-apikey -e hfhub-key {str3}")
# # output = run_command(f"ontogpt extract -t gocam.GoCamAnnotations -i ./abstract.txt")
# output = run_command(f"ontogpt extract -t gocam.GoCamAnnotations -i ./abstractsave.txt")
# # output_string1, error_string1=run_command("poetry")# ontogpt")
# # return location
# # For the purpose of this example, I'm just returning the values concatenated
# return f"Inputs received: {str1}, {str2}, {str3}, {str4}, '--------------', '--------------', {output_string1},{error_string1},{output_string2},{error_string2},{output}"
# # Define 5 text input boxes with labels
# input_boxes = [
# gr.inputs.Textbox(label="openai api key"),
# gr.inputs.Textbox(label="bioportal api key"),
# gr.inputs.Textbox(label="HuggingFace Hub api key"),
# gr.inputs.Textbox(label="Input data"),
# ]
# iface = gr.Interface(fn=greet, inputs=input_boxes, outputs="text")
# iface.launch()