app.py

import os
import openai

import gradio as gr


# ex_list = [["Women are not as capable as men in leadership roles."],["Women are capable as men in leadership roles."]]

def classify_gender_equality(password, input_sentence):
    # Here goes your code to classify gender equality from input_sentence
    # Return the result as a string

    # set up OpenAI API key
    openai.api_key = password
    
    # Set up the fine-tuned model for gender equality classification
    # model_engine = "text-davinci-003"
    model_prompt = ("""
    Please classify the following sentence as promoting or not promoting gender equality:

    Sentence: 
    """)

    def is_gender_equal(sentence):
      prompt = model_prompt + sentence
      completions = openai.Completion.create(
          engine="text-davinci-003", # The gender equality classification API endpoint
          prompt=prompt,
          max_tokens=1024,
          n=1,
          stop=None,
          temperature=0.5,
      )
      message = completions.choices[0].text
      return message.strip().lower()

  


    # Example usage
    # sentence = "Women are capable as men in leadership roles."
    # sentence = "Women are not as capable as men in leadership roles."
    # sentence = "Gender equality is important for the progress of society."
    
    return "This Sentence is " + is_gender_equal(input_sentence)

# Create the input text fields
password_input = gr.inputs.Textbox(label="OpenAI API key", type="password")

input_text = gr.inputs.Textbox(label="Input Sentence", default="Women deserve equal pay")

# Create the output text field
output_text = gr.outputs.Textbox(label="Gender Equality Classification")

# Create the Gradio interface
gr.Interface(fn=classify_gender_equality, inputs=[password_input, input_text], outputs=output_text, title='Gender Equality Classification').launch()