import gradio as gr
import openai

# Function to process input and generate output
def orthogonizer(text, api_key):
    prompt = f"Given the input '{text}', please provide an orthogonal perspective."

    # Set up OpenAI API
    openai.api_key = api_key

    # Call OpenAI API to process the input text
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=200,  #longer responses
        n=1,  # one response 
        temperature=0.5,  # more deterministic output
    )

    # Extract the generated orthogonal perspective from the OpenAI response
    orthogonal_perspective = response.choices[0]['text'].strip()

    # Remove the brackets and the words "orthogonal perspective"
    orthogonal_perspective = orthogonal_perspective.replace("{", "").replace("}", "").replace("Orthogonal Perspective: ", "")

    return orthogonal_perspective

# Set up Gradio interface
input_text = gr.inputs.Textbox(label="Enter your input text")
api_key_text = gr.inputs.Textbox(label="Enter your OpenAI API key")
output_text = gr.outputs.Textbox(label="Output")

interface = gr.Interface(
    fn=orthogonizer,
    inputs=[input_text, api_key_text],
    outputs=output_text,
    title="Orthogonizer App",
    description="Enter your text and get an orthogonal perspective.",
    article="",
)

if __name__ == "__main__":
    interface.launch(share=True)