starting

.gitignore

@@ -0,0 +1 @@
+.env

app.py

@@ -1,11 +1,12 @@
 import gradio as gr
 import openai
 import os
+import random
 
-openai.api_key = os.environ['openai']
-
+#openai.api_key = os.environ['openai']
+openai.api_key = os.getenv('OPENAI_API_KEY')
 #generates an AI description of your character
-def describe(names):
+def describe(names,wisdom):
 	print(f"hi{names}")
 	completion = openai.Completion.create(
 		engine='text-davinci-003',
@@ -24,6 +25,23 @@ def describe(names):
         
     
 
-iface = gr.Interface(fn=describe, inputs=gr.Textbox(label="Your DND character",show_label=True), 
+iface = gr.Interface(fn=describe, inputs=[gr.Textbox(label="Your DND character",show_label=True),
+                                    gr.Number(label="Wisdom",show_label=True), 
+                                    gr.Number(label="Charisma",show_label=True), 
+                                    gr.Number(label="Strength",show_label=True), 
+                                    gr.Number(label="Intelligence",show_label=True), 
+                                    gr.Number(label="Dexterity",show_label=True), 
+                                    gr.Number(label="Constitution",show_label=True)], 
+
             outputs=gr.Textbox(label="The character",show_label=True))
-iface.launch()
+iface.launch()
+
+def stat(n_dice, dice_rank):
+    results = [  # Generate n_dice numbers between [1, dice_rank]
+        random.randint(1, dice_rank)
+        for n
+        in range(n_dice)
+    ]
+    lowest = min(results)  # Find the lowest roll among the results
+    results.remove(lowest)  # Remove the first instance of that lowest roll
+    return sum(results)  # Return the sum of the remaining results.