app.py

import openai
import random
import gradio as gr
import os

openai.api_key = os.environ["OpenAPI_Key"]

manual = r"""Vul beide velden in door titel en course tree te kopiëren vanuit de Factsheet in MES Editor, en druk op Submit."""

# Define the system message 
SystemPrompt_10 = r"""You're a factsheets creator: creating factsheets for our e-learning modules that comply precisely with the requirements. The user will send as input:
1. Title of e-learning
2. Course structure

You will convert this info into a factsheet, with the following components:

-Description:
[Catchy text with a short explanation what the module is about(75 - 100 words, a few sentences), in Dutch.Use language like: 'In deze module bespreken we ...'.]

-Competencies:
f.Competences: Select the competences, related to this course from the list below and should not exceed 3:
1.Vakinhoudelijk / Klinisch handelen
2.	Communicatie 
3.	Samenwerking
4.	Organisatie
5.	Maatschappelijk handelen
6.	Kennis en wetenschap
7.	Professionaliteit

Please add the respective percentage for each competence. Use % that are only multiples of 10, e.g. 10%, 20% and so on, and not 15%, 25% and so on. Naturally, the sum of all should be 100%. 
Just give your best estimate.

- Target group(s)
[pick one from: Onderwijsassistent / Persoonlijk Begeleider MZ / Gespecialiseerd pedagogisch medewerker. If none of those qualify, make up your own.]"""
UserPrompt_10 = r""""""
AssistantPrompt_10 = r""""""
UserPrompt_11 = r""""""
AssistantPrompt_11 = r""""""



# Function to make API call
def api_call(messages, temperature=0.5, model="gpt-4"):
    return openai.ChatCompletion.create( 
        messages=messages,
        temperature=temperature,
        model=model
    ).choices[0].message.content

# Function to be called by Gradio interface
def process_inputs(Name, Tree):
    # Check if either field is empty
    if not Name:
        return manual
    if not Tree:
        return manual
    else:
        # Step 1: User input and first API call
        stepOne = [
            {"role": "system", "content": SystemPrompt_10},
            {"role": "user", "content": f"Title of e-learning: {Name}\n\nCourse structure:\n{Tree}"}
        ]
    
    Script_1 = api_call(stepOne, 0.7)
    return Script_1



# Create the Gradio interface 
iface = gr.Interface(
    fn=process_inputs, 
    inputs=[
         gr.Textbox(lines=2, label='Name of e-learning'),
        gr.Textbox(lines=2, label='Course Structure')
        ], 
    outputs=gr.Textbox(label="Suggested Factsheet info (double-check & revise)", show_copy_button=True)
)

iface.launch(share=True)
iface.launch()