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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("pwd") | |
| # return "Hello " + output_string + error_string + "!" | |
| # 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 -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"{output}" | |
| # 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() | |