app.py

import gradio as gr
import openai

def generate_completion(user_prompt):
    hidden_context = " "
    prompt = hidden_context + user_prompt
    response = openai.Completion.create(
        model="davinci:ft-topwow-llc:esquiz-2023-09-25-22-27-57",
        prompt=prompt,
        max_tokens=30,
        temperature=0,
        stop=["_END"]
    )


    return response.choices[0].text.strip()
iface = gr.Interface(fn=generate_completion,
                     inputs=gr.inputs.Textbox(lines=5, placeholder='Write the phrase or words here'),
                     outputs='text',
                     title="schizophrenia",
                     description="Platform to detect potential schizophrenia symptoms, does not replace medical professionals. In the space you must write your discomfort or ailment and the respective ->, then you must click on send and the system will give you an answer on whether or not you have a potential symptom, or any recommendation. The axis of this artificial intelligence platform is based on transformer neural networks using the transfer learning technique and the fine tuning process.",
                     input_labels="phrases",
                     output_labels="forecast")

iface.launch()