app.py

import gradio as gr
import openai
import os
import random

from dotenv import load_dotenv
from openai import OpenAI

load_dotenv()

openai.api_key = os.getenv('OPENAI_API_KEY')
print(openai.api_key)
print (os.environ.get("OPENAI_API_KEY"))
client = openai.OpenAI(organization='org-eiNl8e4nk93VLQFDb4EBz9JG')
#openai.api_key = os.environ['openai']  #for huggingface i think

#generates an AI description of your character
def describe(names,wis,char,str,int,dex,con):
    print(f"hi{names}")
    if (wis==0) :
        print(f"set some stats or roll random")
        exit

    prom=f"We're generating Dungeons and Dragons characters for a new campaign, and we need a brief character description, including race"
    prom+=f" and class. The character's name is {names} with the following stats: Wisdom: {wis},Charisma:{char},Strength:{str},"
    prom+=f"Intelligence:{int},Dexterity:{dex},Constitution:{con}. Describe the character, and then, separated by $$$ give us the "
    prom+=f"character's interesting backstory."

    completion = client.completions.create(
		model='gpt-3.5-turbo-instruct',
		prompt=prom,
		max_tokens=510,
		temperature=0.77,
		frequency_penalty=0.2,
		presence_penalty= 0.25)

    result =completion.choices[0].text
	#print(dict(completion).get('usage'))


	#print(completion.model_dump_json(indent=2))

    if not result :
        result = "Could you be any more boring?"
        

    return result

#generates an AI description of your character
def makeName():

    prom=f"We're generating Dungeons and Dragons characters for a new campaign, and we need a name." 
    prom+=f" Please imagine and give me just a character name for the player to use."
    completion = client.completions.create(
		model='gpt-3.5-turbo-instruct',
		prompt=prom,
		max_tokens=50,
		temperature=0.77,
		frequency_penalty=0.2,
		presence_penalty= 0.25)

    result =completion.choices[0].text
	#print(dict(completion).get('usage'))


	#print(completion.model_dump_json(indent=2))

    if not result :
        result = "The Doctor"
        

    return result

def stat( ndice, dicerank):
   # return ndice + dicerank
   answer=[]
   for x in range(6) :
        results = [  # Generate ndice numbers between [1,dice_rank]
            random.randint(1, dicerank)
            for n
            in range(ndice)
        ]
        lowest = min(results)  # Find the lowest roll among the results
        results.remove(lowest)  # Remove the first instance of that lowest roll
        answer.append(sum(results))  # Return the sum of the remaining results.   

   return answer

with gr.Blocks() as statBlock:
    gr.Markdown("Your characters stats")
    nameBox = gr.Textbox(label="Your DND character",show_label=True)
    nameButt = gr.Button(value="Random Name")  
    wisBox = gr.Number(label="Wisdom",show_label=True,precision=0,minimum=1,maximum=18)
    charBox = gr.Number(label="Charisma",show_label=True,precision=0)
    strBox =gr.Number(label="Strength",show_label=True,precision=0)
    intBox =gr.Number(label="Intelligence",show_label=True,precision=0)
    dexBox =gr.Number(label="Dexterity",show_label=True,precision=0)
    conBox =gr.Number(label="Constitution",show_label=True,precision=0)
    dice = gr.Number(value=4,precision=0,visible=False)
    dice.visible = False

    rollButt = gr.Button(value="Roll Stats")  
    describeButt = gr.Button(value="Generate Description")  
        
    outputBox=gr.Textbox(label="The character",show_label=True)

    nameButt.click(makeName,inputs=[],outputs=[nameBox])
    rollButt.click(stat, inputs=[dice,gr.Number(value=6, visible=False,precision=0)],outputs=[wisBox,charBox,strBox,intBox,dexBox,conBox])
    describeButt.click(describe, outputs=[outputBox],inputs=[nameBox,wisBox,charBox,strBox,intBox,dexBox,conBox])
statBlock.launch()