app.py

import gradio as gr
import subprocess

def greet(name1, name2, name3, name4, name5):
    # Storing each input in a variable, you can process or save them as you like
    str1 = name1
    str2 = name2
    str3 = name3
    str4 = name4
    str5 = name5
    
    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}")
#     output_string1, error_string1=run_command("poetry")# ontogpt")

    # For the purpose of this example, I'm just returning the values concatenated
    return f"Inputs received: {str1}, {str2}, {str3}, {str4}, {str5},  {output_string1},{error_string1},{output_string2},{error_string2}"

# 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="NCBI 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()