import gradio as gr
import subprocess

"""
import gradio as gr

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

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
    
demo.launch()   
"""
def greet(name1, name2):
    # Storing each input in a variable, you can process or save them as you like
    str1 = name1 ## openai
    str2 = "213e22ba-4c3b-402b-bd36-6e9d4e86b1b5"   #bioportal
    str3 = "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"   # huggingface
    str4 = name2
    
    """
    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"cancerontogpt extract -t cancer.CancerAnnotations -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} \n, {str2}, {str3}, {str4}, '--------------',   '--------------', {output_string1},{error_string1},{output_string2},{error_string2},{output}"
#     #     return location
    # For the purpose of this example, I'm just returning the values concatenated
    return f"{name2}"

# Define 5 text input boxes with labels
input_boxes = [
    gr.inputs.Textbox(label="openai api key"),
    gr.inputs.Textbox(label="Input data"),
]

iface = gr.Interface(fn=greet, inputs=input_boxes, outputs="text")
iface.launch()