more

app.py

@@ -1,84 +1,246 @@
 import gradio as gr
+from langchain.chains import LLMChain
+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
+import requests
+import json
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def getAndParseQuickStart(text):
+    print("Asking AI for a character of " + text)
+    prompt = """
+            Please generate a character based on the following description assuming this is a real person, 
+            make sure any dialog is accurate as to how this specific character sounds. The dialog should give a good indication 
+            of the manner in which the character speaks:\n
+            """ + text
+    
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo-0613",
+        messages=[
+            {"role": "system", "content": instruction_prompt},
+            {"role": "user", "content": prompt}
+        ])
+    
+    #print(response)
+    # Parse the AI's response
+    response_content = response['choices'][0]['message']['content']
+    print(response_content)
+    example_chat_index = response_content.find('Example_Chat:')
+    if example_chat_index != -1:
+        # Extract 'Example Chat' and everything after it
+        example_chat_content = response_content[example_chat_index:]
+        # Split the content into lines
+        example_chat_lines = example_chat_content.split('\n')
+        # The first line is 'Example Chat: <first line of chat>'
+        # So we need to remove 'Example Chat: ' from it
+        example_chat_lines[0] = example_chat_lines[0][len('Example_Chat: '):]
+        # Join the lines back together to get the full 'Example Chat'
+        example_chat = '\n'.join(example_chat_lines)
+        traits_dict = {'Example_Chat': example_chat.strip()}
+        # Remove the 'Example Chat' part from the response content so it won't be processed again in the loop
+        api_response = response_content[:example_chat_index]
+    else:
+        traits_dict = {}
+
+    traits = response_content.split('\n')
+    print(traits)
+    raw = traits
+    #print(locked_fields)
+    for trait in traits:
+        if ': ' in trait:
+            key, value = trait.split(': ', 1)  # Split at the first occurrence of ': '
+            key = key.lower()
+            key = key.replace(' ', '_')
+            #if key in locked_fields:
+            #    continue
+            if key == 'name':
+                traits_dict[key.capitalize()] = value
+            elif key == 'first_message':
+                traits_dict['First_Message'] = value
+            elif key == 'personality_summary':
+                traits_dict['Personality_Summary'] = value
+            else:
+                traits_dict[key.capitalize()] = value
+    charName = traits_dict.get('Name', '')
+    personality = traits_dict.get('Personality', '')
+    body = traits_dict.get('Body', '')
+    likes = traits_dict.get('Likes', '')
+    hates = traits_dict.get('Hates', '')
+    sex = traits_dict.get('Sex', '')
+    sexuality = traits_dict.get('Sexuality', '')
+    age = traits_dict.get('Age', '')
+    description = traits_dict.get('Description', '')
+    personalityProfile = traits_dict.get('Personality_Profile', '')
+    attributes = traits_dict.get('Attributes', '')
+
+    return [
+        raw,
+        charName,
+        personality,
+        body,
+        likes,
+        hates,
+        sex,
+        sexuality,
+        age,
+        description,
+        personalityProfile,
+        attributes
+    ]
+
+def generateSpeakingStyle(text):
+    print("Asking AI for a speaking style from:\n" + text)
+    prompt = """
+            Here is a detailed summary of a character:\n
+            """ + text + """
+            \n
+            Based on that, determine the speaking style that would best express how this character would talk. For each of the following, choose the best option for this character:
+            """ + prompt_Personality + """
+            Please return your choices in JSON format: {"property":"choice", "property":"choice", ....etc}\n
+            Do not change any capitalization. Do not include any new lines. Only a correct JSON format.
+            """
+    
+    response = openai.ChatCompletion.create(
+        model="gpt-4-0613",
+        messages=[
+            {"role": "system", "content": "You are a world-class writer and character designer."},
+            {"role": "user", "content": prompt}
+        ])
+    print(response)
+    response_content = response['choices'][0]['message']['content']
+    response = json.loads(response_content)
+    return [
+        response.get('formality', ''),
+        response.get('pace', ''),
+        response.get('rhythm', ''),
+        response.get('volume', ''),
+        response.get('emotionality', ''),
+        response.get('directness', ''),
+        response.get('humor', ''),
+        response.get('enunciation', ''),
+        response.get('expressiveness', ''),
+        response.get('accent', ''),
+        response.get('politeness', ''),
+        response.get('vocabulary', ''),
+        response.get('interruptions', ''),
+        response.get('hesitations', ''),
+        response.get('sentence structure', ''),
+        response.get('sarcasm', ''),
+        response.get('colloquialisms', ''),
+        response.get('energy level', ''),
+        response.get('defiance/rebellion', ''),
+        response.get('playfulness', ''),
+        response.get('vulgarity', ''),
+        response.get('idiosyncrasies', ''),
+        response.get('emotional tone', ''),
+        response.get('context adaptability', ''),
+        response.get('subtext', ''),
+        response.get('metaphorical language', ''),
+        response.get('cultural references', ''),
+        response.get('storytelling ability', '')
+    ]
 
 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("Generate")
+        quickStartResult = gr.TextArea(label="result", interactive=False)
+        
     with gr.Row():
         with gr.Column(scale=1, min_width=600):
-            charName = gr.Textbox(label="Name")
-            personality = gr.Textbox(label="Personality")
-            body = gr.Textbox(label="Physical Description")
+            charName = gr.Textbox(label="Name", interactive=True)
+            personality = gr.Textbox(label="Personality", interactive=True)
+            body = gr.Textbox(label="Physical Description", interactive=True)
             with gr.Row():
-                likes = gr.Textbox(label="Likes")
-                hates = gr.Textbox(label="Hates")
+                likes = gr.Textbox(label="Likes", interactive=True)
+                hates = gr.Textbox(label="Hates", interactive=True)
             with gr.Row():
-                sex = gr.Dropdown(["Male", "Female", "Other"], label="Sex")
-                sexuality = gr.Textbox(label="Sexuality")
+                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)
-            description = gr.Textbox(label="description") 
-            personalityProfile = gr.Textbox(label="Personality Profile") 
-            attributes = gr.Textbox(label="Attributes")      
+            description = gr.Textbox(label="Description", interactive=True) 
+            personalityProfile = gr.Textbox(label="Personality Profile", interactive=True) 
+            attributes = gr.Textbox(label="Attributes", interactive=True)      
     with gr.Accordion("Speaking Traits"):
+        genProfile = gr.Button("Generate Speaking Style", interactive=True)
         with gr.Column(scale=1, min_width=600):
             with gr.Row():
-                formality = gr.Dropdown(["Very formal", "Formal", "Neutral", "Informal", "Very informal"], label="Formality")
-                pace = gr.Dropdown(["Very fast", "Fast", "Moderate", "Slow", "Very slow"], label="Pace")
-                rhythm = gr.Dropdown(["Choppy", "Staccato", "Varied", "Flowing", "Melodious"], label="Rhythm")
-                volume = gr.Dropdown(["Very loud", "Loud", "Moderate", "Soft", "Very soft"], label="Volume")
-                emotionality = gr.Dropdown(["Very expressive", "Expressive", "Neutral", "Restrained", "Very restrained"], label="Emotionality")
-                directness = gr.Dropdown(["Very direct", "Direct", "Balanced", "Indirect", "Very indirect"], label="Directness")
+                formality = gr.Dropdown(["Very formal", "Formal", "Neutral", "Informal", "Very informal"], label="Formality", interactive=True)
+                pace = gr.Dropdown(["Very fast", "Fast", "Moderate", "Slow", "Very slow"], label="Pace", interactive=True)
+                rhythm = gr.Dropdown(["Choppy", "Staccato", "Varied", "Flowing", "Melodious"], label="Rhythm", interactive=True)
+                volume = gr.Dropdown(["Very loud", "Loud", "Moderate", "Soft", "Very soft"], label="Volume", interactive=True)
+                emotionality = gr.Dropdown(["Very expressive", "Expressive", "Neutral", "Restrained", "Very restrained"], label="Emotionality", interactive=True)
+                directness = gr.Dropdown(["Very direct", "Direct", "Balanced", "Indirect", "Very indirect"], label="Directness", interactive=True)
  
             with gr.Row():
-                humor = gr.Dropdown(["Frequently humorous", "Occasionally humorous", "Neutral", "Occasionally serious", "Frequently serious"], label="Humor")
-                enunciation = gr.Dropdown(["Very clear", "Clear", "Neutral", "Relaxed", "Mumbled"], label="Enunciation")
-                expressiveness = gr.Dropdown(["Very expressive", "Expressive", "Neutral", "Reserved", "Very reserved"], label="Expressiveness")
-                accent_dialect = gr.Dropdown(["Strong regional accent", "Mild regional accent", "Neutral", "Mild foreign accent", "Strong foreign accent"], label="Accent/Dialect")
-                politeness = gr.Dropdown(["Very polite", "Polite", "Neutral", "Blunt", "Very blunt"], label="Politeness")
-                vocabulary = gr.Dropdown(["Highly sophisticated", "Sophisticated", "Average", "Basic", "Very basic"], label="Vocabulary")
+                humor = gr.Dropdown(["Frequently humorous", "Occasionally humorous", "Neutral", "Occasionally serious", "Frequently serious"], label="Humor", interactive=True)
+                enunciation = gr.Dropdown(["Very clear", "Clear", "Neutral", "Relaxed", "Mumbled"], label="Enunciation", interactive=True)
+                expressiveness = gr.Dropdown(["Very expressive", "Expressive", "Neutral", "Reserved", "Very reserved"], label="Expressiveness", interactive=True)
+                accent_dialect = gr.Dropdown(["Strong regional accent", "Mild regional accent", "Neutral", "Mild foreign accent", "Strong foreign accent"], label="Accent/Dialect", interactive=True)
+                politeness = gr.Dropdown(["Very polite", "Polite", "Neutral", "Blunt", "Very blunt"], label="Politeness", interactive=True)
+                vocabulary = gr.Dropdown(["Highly sophisticated", "Sophisticated", "Average", "Basic", "Very basic"], label="Vocabulary", interactive=True)
 
             with gr.Row():     
-                interruptions = gr.Dropdown(["Frequently interrupts", "Occasionally interrupts", "Balanced", "Occasionally allows others to interrupt", "Frequently allows others to interrupt"], label="Interruptions")
-                hesitations = gr.Dropdown(["Frequently hesitates", "Occasionally hesitates", "Balanced", "Occasionally fluent", "Frequently fluent"], label="Hesitations")
-                sentence_structure = gr.Dropdown(["Very complex", "Complex", "Average", "Simple", "Very simple"], label="Sentence Structure")
-                sarcasm = gr.Dropdown(["Very sarcastic", "Sarcastic", "Occasionally sarcastic", "Rarely sarcastic", "Never sarcastic"], label="Sarcasm")
-                colloquialisms = gr.Dropdown(["Frequently uses colloquialisms", "Occasionally uses colloquialisms", "Balanced", "Rarely uses colloquialisms", "Never uses colloquialisms"], label="Colloquialisms")
-                energy_level = gr.Dropdown(["Very high energy", "High energy", "Moderate energy", "Low energy", "Very low energy"], label="Energy Level")
+                interruptions = gr.Dropdown(["Frequently interrupts", "Occasionally interrupts", "Balanced", "Occasionally allows others to interrupt", "Frequently allows others to interrupt"], label="Interruptions", interactive=True)
+                hesitations = gr.Dropdown(["Frequently hesitates", "Occasionally hesitates", "Balanced", "Occasionally fluent", "Frequently fluent"], label="Hesitations", interactive=True)
+                sentence_structure = gr.Dropdown(["Very complex", "Complex", "Average", "Simple", "Very simple"], label="Sentence Structure", interactive=True)
+                sarcasm = gr.Dropdown(["Very sarcastic", "Sarcastic", "Occasionally sarcastic", "Rarely sarcastic", "Never sarcastic"], label="Sarcasm", interactive=True)
+                colloquialisms = gr.Dropdown(["Frequently uses colloquialisms", "Occasionally uses colloquialisms", "Balanced", "Rarely uses colloquialisms", "Never uses colloquialisms"], label="Colloquialisms", interactive=True)
+                energy_level = gr.Dropdown(["Very high energy", "High energy", "Moderate energy", "Low energy", "Very low energy"], label="Energy Level", interactive=True)
             with gr.Row():
-                interruptions = gr.Dropdown(["Frequently interrupts", "Occasionally interrupts", "Balanced", "Occasionally allows others to interrupt", "Frequently allows others to interrupt"], label="Interruptions")
-                hesitations = gr.Dropdown(["Frequently hesitates", "Occasionally hesitates", "Balanced", "Occasionally fluent", "Frequently fluent"], label="Hesitations")
-                sentence_structure = gr.Dropdown(["Very complex", "Complex", "Average", "Simple", "Very simple"], label="Sentence Structure")
-                sarcasm = gr.Dropdown(["Very sarcastic", "Sarcastic", "Occasionally sarcastic", "Rarely sarcastic", "Never sarcastic"], label="Sarcasm")
-                colloquialisms = gr.Dropdown(["Frequently uses colloquialisms", "Occasionally uses colloquialisms", "Balanced", "Rarely uses colloquialisms", "Never uses colloquialisms"], label="Colloquialisms")
-                energy_level = gr.Dropdown(["Very high energy", "High energy", "Moderate energy", "Low energy", "Very low energy"], label="Energy Level")
+                defiance_rebellion = gr.Dropdown(["Frequently defiant", "Occasionally defiant", "Balanced", "Rarely defiant", "Never defiant"], label="Defiance/Rebellion", interactive=True)
+                playfulness = gr.Dropdown(["Very playful", "Playful", "Occasionally playful", "Rarely playful", "Never playful"], label="Playfulness", interactive=True)
+                vulgarity = gr.Dropdown(["Very vulgar", "Vulgar", "Occasionally vulgar", "Rarely vulgar", "Never vulgar"], label="Vulgarity", interactive=True)
+                idiosyncrasies = gr.Dropdown(["Frequent idiosyncrasies", "Occasional idiosyncrasies", "Balanced", "Rare idiosyncrasies", "No idiosyncrasies"], label="Idiosyncrasies", interactive=True)
+                emotional_tone = gr.Dropdown(["Very optimistic", "Optimistic", "Neutral", "Pessimistic", "Very pessimistic"], label="Emotional Tone", interactive=True)
+                context_adaptability = gr.Dropdown(["Very adaptable", "Adaptable", "Balanced", "Inflexible", "Very inflexible"], label="Context Adaptability", interactive=True)
             with gr.Row():
-                defiance_rebellion = gr.Dropdown(["Frequently defiant", "Occasionally defiant", "Balanced", "Rarely defiant", "Never defiant"], label="Defiance/Rebellion")
-                playfulness = gr.Dropdown(["Very playful", "Playful", "Occasionally playful", "Rarely playful", "Never playful"], label="Playfulness")
-                vulgarity = gr.Dropdown(["Very vulgar", "Vulgar", "Occasionally vulgar", "Rarely vulgar", "Never vulgar"], label="Vulgarity")
-                idiosyncrasies = gr.Dropdown(["Frequent idiosyncrasies", "Occasional idiosyncrasies", "Balanced", "Rare idiosyncrasies", "No idiosyncrasies"], label="Idiosyncrasies")
-                emotional_tone = gr.Dropdown(["Very optimistic", "Optimistic", "Neutral", "Pessimistic", "Very pessimistic"], label="Emotional Tone")
-                context_adaptability = gr.Dropdown(["Very adaptable", "Adaptable", "Balanced", "Inflexible", "Very inflexible"], label="Context Adaptability")
-            with gr.Row():
-                subtext = gr.Dropdown(["Frequently uses subtext", "Occasionally uses subtext", "Balanced", "Rarely uses subtext", "Never uses subtext"], label="Subtext")
-                metaphorical_language = gr.Dropdown(["Frequently uses metaphorical language", "Occasionally uses metaphorical language", "Balanced", "Rarely uses metaphorical language", "Never uses metaphorical language"], label="Metaphorical Language")
-                cultural_references = gr.Dropdown(["Frequently uses cultural references", "Occasionally uses cultural references", "Balanced", "Rarely uses cultural references", "Never uses cultural references"], label="Cultural References")
-                storytelling_ability = gr.Dropdown(["Frequent storyteller", "Occasional storyteller", "Balanced", "Rarely tells stories", "Never tells stories"], label="Storytelling Ability")
+                subtext = gr.Dropdown(["Frequently uses subtext", "Occasionally uses subtext", "Balanced", "Rarely uses subtext", "Never uses subtext"], label="Subtext", interactive=True)
+                metaphorical_language = gr.Dropdown(["Frequently uses metaphorical language", "Occasionally uses metaphorical language", "Balanced", "Rarely uses metaphorical language", "Never uses metaphorical language"], label="Metaphorical Language", interactive=True)
+                cultural_references = gr.Dropdown(["Frequently uses cultural references", "Occasionally uses cultural references", "Balanced", "Rarely uses cultural references", "Never uses cultural references"], label="Cultural References", interactive=True)
+                storytelling_ability = gr.Dropdown(["Frequent storyteller", "Occasional storyteller", "Balanced", "Rarely tells stories", "Never tells stories"], label="Storytelling Ability", interactive=True)
     with gr.Column(scale=1, min_width=600):
-        situation = gr.TextArea(label="Situation")
-        starting_message = gr.TextArea(label="Starting message")
+        situation = gr.TextArea(label="Situation", interactive=True)
+        starting_message = gr.TextArea(label="Starting message", interactive=True)
         sample_starters = gr.CheckboxGroup(["This year is flying by so fast.",
                             "It's quite sunny outside today.",
                             "People seem to be in a hurry all the time.",
                             "I hear birds chirping. It must be spring already.",
                             "The city looks different at night."], 
-                            label="Example conversation starters", info="These are simple statements designed to evoke a unique response without adding additional context. "),
+                            label="Example conversation starters", info="These are simple statements designed to evoke a unique response without adding additional context. ", interactive=True),
         with gr.Row():
             with gr.Column(scale=1):
                 addUser = gr.Button("{{user}} >>")
                 addBot = gr.Button("{{char}} >>")
             with gr.Column(scale=6):
                 examples = gr.TextArea(label="Example chats", value="<START>\n")
-        
+    
+    def test():
+        print("trying....")
+        state = demo.state
+        state.inputs["charName"] = "New Name" 
+        demo.update(state)
+    generate.click(getAndParseQuickStart, inputs=[quickStart], outputs=[
+        quickStartResult,
+        charName, 
+        personality,
+        body,
+        likes,
+        hates,
+        sex,
+        sexuality,
+        age,
+        description,
+        personalityProfile,
+        attributes
+        ])
     createJSON = gr.Button("Create JSON")
     
     def insertUser(text):
@@ -87,6 +249,106 @@ with gr.Blocks() as demo:
             return text + "\n{{char}}"
     addUser.click(insertUser, inputs=[examples], outputs=examples)
     addBot.click(insertBot, inputs=[examples], outputs=examples)
-    
-demo.launch()
+    genProfile.click(generateSpeakingStyle, inputs=[quickStartResult], outputs=[
+        formality,
+        pace,
+        rhythm,
+        volume,
+        emotionality,
+        directness,
+        humor,
+        enunciation,
+        expressiveness,
+        accent_dialect,
+        politeness,
+        vocabulary,
+        interruptions,
+        hesitations,
+        sentence_structure,
+        sarcasm,
+        colloquialisms,
+        energy_level,
+        defiance_rebellion,
+        playfulness,
+        vulgarity,
+        idiosyncrasies,
+        emotional_tone,
+        context_adaptability,
+        subtext,
+        metaphorical_language,
+        cultural_references,
+        storytelling_ability
+        ])
+
+instruction_prompt = """
+        You are an AI bot that creates profiles of characters based on a simple input. You generate and give detailed characters in the following format:
+            Name: descriptors
+            Mind: descriptors (comma separated properties)
+            Personality: descriptors (comma separated properties, at least 8 traits)
+            Body: descriptors (comma separated properties, at least 8 traits)
+            Likes: descriptors (comma separated properties, at least 8 traits)
+            Hates: descriptors (comma separated properties, at least 8 traits)
+            Attributes: descriptors (comma separated properties, at least 8 traits)
+            Clothes: descriptors (comma separated properties)
+            Sex: descriptor (Male, Female, or Other)
+            Sexuality: descriptor (Gay, Straight, Bi, or Asexual)
+            Age: descriptor (as an integer, no additional text)
+            Description: descriptor (3 sentences)
+            Personality_Summary: descriptor
+            
+    """
+
+prompt_chat_test = """
+Scenario: descriptor (Minimum 4 sentences)
+            First_Message: descriptor (do not include any quotation marks. At least 3 sentences)
+            Example_Chat: descriptor (do not print names or quotation marks, only use the format of starting with > for the user name and >> for the character name, for example: >Hi\n>>Hello! **i pick up a book**\n>What's up? What are you reading?\n>>**Looks at the book cover** Nothing much)"""
+
+prompt_Personality = """
+formality (level of formal language use): Very formal, Formal, Neutral, Informal, Very informal\n
+pace (speed of speech): Very fast, Fast, Moderate, Slow, Very slow\n
+rhythm (pattern of speech): Choppy, Staccato, Varied, Flowing, Melodious\n
+volume (loudness of speech): Very loud, Loud, Moderate, Soft, Very soft\n
+emotionality (level of emotional expression): Very expressive, Expressive, Neutral, Restrained, Very restrained\n
+directness (level of straightforwardness): Very direct, Direct, Balanced, Indirect, Very indirect\n
+humor (frequency of humor in speech): Frequently humorous, Occasionally humorous, Neutral, Occasionally serious, Frequently serious\n
+enunciation (clarity of speech): Very clear, Clear, Neutral, Relaxed, Mumbled\n
+expressiveness (use of gestures and body language): Very expressive, Expressive, Neutral, Reserved, Very reserved\n
+accent (type of accent or dialect): Strong regional accent, Mild regional accent, neutral, Mild foreign accent, Strong foreign accent\n
+politeness (degree of politeness): Very polite, Polite, Neutral, Blunt, Very blunt\n
+vocabulary (range and type of words used): Highly sophisticated, Sophisticated, Average, Basic, Very basic\n
+interruptions (frequency of interruptions): Frequently interrupts, Occasionally interrupts, Balanced, Occasionally allows others to interrupt, Frequently allows others to interrupt\n
+hesitations (frequency of pauses or fillers): Frequently hesitates, Occasionally hesitates, Balanced, Occasionally fluent, Frequently fluent\n
+sentence structure (complexity of sentences): Very complex, Complex, Average, Simple, Very simple\n
+sarcasm (frequency and intensity of sarcasm): Very sarcastic, Sarcastic, Occasionally sarcastic, Rarely sarcastic, Never sarcastic\n
+colloquialisms (use of slang or colloquial language): Frequently uses colloquialisms, Occasionally uses colloquialisms, Balanced, Rarely uses colloquialisms, Never uses colloquialisms\n
+energy level (level of enthusiasm or intensity in speech): Very high energy, High energy, Moderate energy, Low energy, Very low energy\n
+defiance/rebellion (tendency to challenge or question things in speech): Frequently defiant, Occasionally defiant, Balanced, Rarely defiant, Never defiant\n
+playfulness (exhibits a playful tone in speech): Very playful, Playful, Occasionally playful, Rarely playful, Never playful\n
+vulgarity (frequency and intensity of crude language or coarse expressions): Very vulgar, Vulgar, Occasionally vulgar, Rarely vulgar, Never vulgar\n
+idiosyncrasies (unique speech habits or quirks): Frequent idiosyncrasies, Occasional idiosyncrasies, Balanced, Rare idiosyncrasies, No idiosyncrasies\n
+emotional tone (overall emotional 'color' of the character's speech): Very optimistic, Optimistic, Neutral, Pessimistic, Very pessimistic\n
+context adaptability (how a character's speech changes depending on the situation or person they're speaking to): Very adaptable, Adaptable, Balanced, Inflexible, Very inflexible\n
+subtext (the underlying, implied meaning in a character's speech): Frequently uses subtext, Occasionally uses subtext, Balanced, Rarely uses subtext, Never uses subtext\n
+metaphorical language (use of metaphors, similes, and other figurative language in a character's speech): Frequently uses metaphorical language, Occasionally uses metaphorical language, Balanced, Rarely uses metaphorical language, Never uses metaphorical language\n
+cultural references (references to their culture, such as idioms, phrases, or words from their native language, references to cultural practices or beliefs): Frequently uses cultural references, Occasionally uses cultural references, Balanced, Rarely uses cultural references, Never uses cultural references\n
+storytelling ability (frequency of telling stories or anecdotes in their speech): Frequent storyteller, Occasional storyteller, Balanced, Rarely tells stories, Never tells stories\n
+"""
+
+prompt_profile = """
+Based on your understanding of this character, please provide a brief personality assessment using the following typologies:
+
+Myers-Briggs Type Indicator (MBTI): Introverted/Extraverted, Sensing/Intuitive, Thinking/Feeling, Judging/Perceiving.
+
+Enneagram: main type, wing, and instinctual variant (self-preservation/sp, social/so, or sexual/sx).
+
+Enneagram Tritype: two additional types from different centers of intelligence.
+
+Socionics: similar to MBTI, identify the character's personality type.
+
+Global 5/SLOAN: Reserved/Social, Calm/Limbic, Organized/Unstructured, Accommodating/Egocentric, Non-Curious/Inquisitive.
+
+Please return the result codes in this format: "MBTI - Enneagram - Instinctual Variant - Tritype - Socionics - SLOAN". For example: INTJ - 3w4 - sp/sx - 358 - LIE - RCOEI". Do not explain or add other text or context.
+"""
+
+inst = demo.launch()
 

reference.md

@@ -0,0 +1,122 @@
+Emotional Distress:
+Death of a loved one
+Surviving childhood abuse
+Being abandoned by a parent
+Betrayal by a romantic partner
+Being bullied/excluded
+Long-term illness/disability
+Surviving a natural disaster
+Experiencing discrimination
+Combat trauma from war
+Witnessing domestic violence
+Rejection from a dream career
+Surviving sexual assault
+Growing up in poverty
+Being wrongly imprisoned
+Crippling social anxiety
+Major sports injury ending career
+Losing your family home
+Wrong mental illness diagnosis
+Sudden death of a spouse/child
+Betrayal by family/friend
+Failing at your life's passion
+Surviving a terrorist attack
+Causing a fatal accident
+Attempted suicide
+Life-changing disability
+Surviving a kidnapping
+Infertility issues
+Narcissistic parent upbringing
+Religious disillusionment
+Public humiliation from scandal
+
+Here is a list of potential internal, mental, and emotional conflicts that could create complexity for a fictional character:
+
+Self-doubt/lack of confidence
+Perfectionism/fear of failure
+Guilt over past mistakes/actions
+Self-destructive behaviors
+Addiction/substance abuse
+Anger issues/explosive temper
+Anxiety/panic attacks
+PTSD/trauma flashbacks
+Depression/ suicidal thoughts
+Eating disorder/body image issues
+Insecurity/low self-esteem
+Shame/embarrassment
+Grief/inability to move on
+Jealousy/envy of others' success
+Prejudice/close-minded thinking
+Chronic indecision/fear of commitment
+Imposter syndrome
+Resentment toward a parent/caregiver
+Feeling undeserving of love/relationships
+Manipulative/dishonest tendencies
+Obsessive thought patterns
+Difficulty expressing emotions
+Avoidant attachment style
+martyr complex
+excessive need to be liked/approved of
+religious/spiritual disillusionment
+
+medical disorder/condition on its own line:
+
+Generalized anxiety disorder
+Social anxiety
+Phobias
+OCD
+PTSD
+Major depressive disorder
+Bipolar disorder
+Alcoholism
+Drug addiction
+Opioid addiction
+Gambling addiction
+Anorexia nervosa
+Bulimia nervosa
+Type 1 diabetes
+Type 2 diabetes
+Asthma
+Systemic lupus erythematosus
+Rheumatoid arthritis
+Multiple sclerosis
+Fibromyalgia
+Migraines
+Chronic back pain
+Insomnia
+Sleep apnea
+Narcolepsy
+ADHD
+Hypothyroidism
+Hashimoto's thyroiditis
+GERD
+Acid reflux
+Irritable bowel syndrome
+Food allergies to nuts
+Food allergies to seafood
+Food allergies to lactose
+High blood pressure
+Hypertension
+Heart disease
+Heart failure
+Arrythmias
+Stroke
+Transient ischemic attack (TIA)
+Epilepsy
+Tonic-clonic seizures
+Hearing loss
+Tinnitus
+Cataracts
+Macular degeneration
+Glaucoma
+Eczema
+Psoriasis
+Osteoarthritis
+Rheumatoid arthritis
+Gout
+Chronic kidney disease
+Kidney stones
+Anemia
+Iron deficiency
+B12 deficiency
+Urinary incontinence