updates

app.py

@@ -5,7 +5,6 @@ from langchain.chains import SimpleSequentialChain
 from langchain.llms import OpenAI
 from langchain.prompts import PromptTemplate
 from langchain.chains import SequentialChain
-
 import openai
 import os
 import base64
@@ -16,8 +15,8 @@ import codecs
 import random
 
 ## Remember to set $env:OPENAI_API_KEY="keyhere"
-openai.api_key = os.getenv("OPENAI_API_KEY")
-
+#openai.api_key = os.getenv("OPENAI_API_KEY")
+openai.api_key = ""
 def getAndParseQuickStart(text, count):
     print("Asking AI for a character of " + text + " with trait count:")
     print(count)
@@ -31,8 +30,8 @@ def getAndParseQuickStart(text, count):
             Hates: descriptors (comma separated properties, at least {count} traits)
             Attributes: descriptors (comma separated properties, at least {count} traits)
             Clothes: descriptors (comma separated properties)
-            Sex: descriptor (choose from: Male, Female, or Other)
-            Sexuality: descriptor (choose from: Gay, Straight, Bi, or Asexual)
+            Sex: descriptor (choose only from: Male, Female, or Other)
+            Sexuality: descriptor (choose only from: Gay, Straight, Bi, or Asexual. Default to Asexual)
             Age: descriptor (as an integer, no additional text)
             Description: descriptor (3 sentences, do not repeat any previous information)
             Personality_Summary: descriptor
@@ -102,7 +101,6 @@ def getAndParseQuickStart(text, count):
     description = traits_dict.get('Description', '')
     personalityProfile = traits_dict.get('Personality_Profile', '')
     attributes = traits_dict.get('Attributes', '')
-
     return [
         raw,
         charName,
@@ -170,20 +168,50 @@ def generateSpeakingStyle(text):
         response.get('storytelling ability', '')
     ]
 
+def saveKey(text):
+    openai.api_key = text
+
 with gr.Blocks() as demo:
+    rawQuickResults=gr.Textbox(visible=False)
     gr.Markdown(
-    """
-    **Character Maker v0.1**
-    1. Give a general description or starting point and click (1) Generate Quick Start (ex. "J from Men in Black but he is a cat")
-    2. Edit response fields as needed
-    3. Click (2) Analyze to create a personality profile
-    4. Click (3) Generate Speaking Style
-    5. Edit any fields as you want
-    6. Click (4) Create JSON
-    7. Copy JSON from the top Results box
-    """)
-
-    numTraits = 1
+        """
+        # Character Maker v0.1 #
+        """)
+    with gr.Row():
+        myKey = gr.Text(label="OPENAI API KEY", info="must have gpt4 access (for now)")
+        keySave = gr.Button(value="Set")
+        keySave.click(saveKey, inputs=[myKey])
+    with gr.Row():
+        gr.Markdown(
+        """
+        This is a very early prototype of a character generator/assistant. 
+        The goal is to create a detailed but concise profile that can be used in chat programs and guide the AI in acting realistic.<br>
+        1. Adjust the traits count slider for how many traits you want the AI to return
+        2. Give a general description or starting point and click (1) Generate Quick Start (ex. "Winnie the Pooh but he is a cat")
+        3. Edit response fields as needed
+        4. Click (2) Analyze to create a Psychological Profile
+        5. Click (3) Generate Speaking Style
+        6. Edit any fields as you want
+        7. Click (4) Create JSON
+        """)
+        gr.Markdown(
+        """
+        ### Not Working Yet ###
+        - Scenario, Setting, Dialogue
+        - Secrets
+
+        ### To Do ###
+        - Scenario and setting creator
+        - Chat sample creator and chooser
+        - Testable playground built-in
+        - Add grammar and spelling variable
+        - Have AI choose and expand on appropriate secrets
+        - Use Dall-E to generate profile pics
+        - Selection of JSON format to export as
+        - Add token count
+        - Add shorten function to send JSON to AI and ask to remove duplicate information
+        """)
+    numTraits = 8
     def updateTraitCount(text):
         numTraits = text
         print (numTraits)
@@ -199,7 +227,6 @@ with gr.Blocks() as demo:
     with gr.Row():
         quickStart = gr.TextArea(label="Quick Start", info="Use AI to fill out all fields based on your description.")
         generate = gr.Button("1. Generate Quick Start")
-        quickStartResult = gr.TextArea(label="result", interactive=False, show_copy_button=True)
         
     with gr.Row():
         with gr.Column(scale=1, min_width=600):
@@ -214,7 +241,7 @@ with gr.Blocks() as demo:
             with gr.Row():
                 sex = gr.Dropdown(["Male", "Female", "Other"], label="Sex", interactive=True)
                 sexuality = gr.Textbox(label="Sexuality", interactive=True)
-                age = gr.Slider(1, 100, label="Age", info="Choose between 1 and 100", interactive=True, step=1.0)
+                age = gr.Slider(1, 100, label="Age", info="Choose between 1 and 100", interactive=True, step=1.0, value=21)
             description = gr.Textbox(label="Description", interactive=True) 
             attributes = gr.Textbox(label="Attributes", interactive=True)
             with gr.Row():
@@ -298,7 +325,7 @@ with gr.Blocks() as demo:
     
     med_secret_button.click(generateMedicalSecrets, inputs=[conditions_count], outputs=[med_secret])
     generate.click(getAndParseQuickStart, inputs=[quickStart, trait_count], outputs=[
-        quickStartResult,
+        rawQuickResults,
         charName, 
         personality,
         body,
@@ -312,6 +339,7 @@ with gr.Blocks() as demo:
         attributes
         ])
     createJSON = gr.Button("4. Create JSON")
+    quickStartResult = gr.JSON(label="result", interactive=False)
     def makePersonality(text):
         print("Asking AI for a profile")
         prompt = "Here are the details for you to analyze. Remember to return in the specified format: " + text
@@ -326,10 +354,10 @@ with gr.Blocks() as demo:
         print(response_content)
         return response_content
     
-    generatePersonality.click(makePersonality, inputs=[quickStartResult], outputs=[personalityProfile])
+    generatePersonality.click(makePersonality, inputs=[rawQuickResults], outputs=[personalityProfile])
 
 
-    genProfile.click(generateSpeakingStyle, inputs=[quickStartResult], outputs=[
+    genProfile.click(generateSpeakingStyle, inputs=[rawQuickResults], outputs=[
         formality,
         pace,
         rhythm,
@@ -359,8 +387,7 @@ with gr.Blocks() as demo:
         cultural_references,
         storytelling_ability
         ])
-    def createJSONfile(quickStartResult,
-                        charName,
+    def createJSONfile(charName,
                         personality,
                         body,
                         likes,
@@ -460,8 +487,7 @@ with gr.Blocks() as demo:
         return cleaned_json_string
 
 
-    createJSON.click(createJSONfile, inputs=[
-        quickStartResult,
+    createJSON.click(createJSONfile, scroll_to_output=True, inputs=[
         charName, 
         personality,
         body,

todo.txt

@@ -1,6 +0,0 @@
-- Scenario and setting creator
-- Chat sample creator and chooser
-- add Secrets (DM codes?)
-- create and save a JSON
-- Testable playground?
-- Add grammar and spelling variable