Update app.py

app.py

@@ -3,6 +3,33 @@ import os
 import json
 from PIL import Image
 from urllib.parse import quote  # Ensure this import is included
+import base64
+import glob
+import json
+import math
+import openai
+import os
+import pytz
+import re
+import requests
+import textract
+import time
+import zipfile
+import huggingface_hub
+import dotenv
+from audio_recorder_streamlit import audio_recorder
+from bs4 import BeautifulSoup
+from collections import deque
+from datetime import datetime
+from dotenv import load_dotenv
+from huggingface_hub import InferenceClient
+from io import BytesIO
+from openai import ChatCompletion
+from PyPDF2 import PdfReader
+        #from templates import bot_template, css, user_template  --  pattern with content
+from xml.etree import ElementTree as ET
+import streamlit.components.v1 as components  # Import Streamlit Components for HTML5
+
 
 # Set page configuration with a title and favicon
 st.set_page_config(
@@ -17,6 +44,95 @@ st.set_page_config(
     }
 )
 
+if st.checkbox('Show Anatomy Table'):
+    st.markdown("""
+    ## Anatomy Head to Toe Table with Body Organs Costly Conditions, Spending, CPT Codes and Frequency
+    
+    | Table Num | Body Part        | Organ/Part           | Description                   | 📈 Costly Condition          | 💰 Spending (billions) | CPT Range Start | CPT Range Finish | Frequency      |
+    |-----------|------------------|----------------------|-------------------------------|------------------------------|------------------------|-----------------|------------------|----------------|
+    | 1         | 🧠 Head          | 🧠 Brain             | Controls mental processes     | 😨 Anxiety & Depression      | 210                    | 90791           | 90899            | 1 in 5         |
+    | 2         | 👀 Eyes          | 👁️ Optic Nerve      | Vision                        | 👓 Cataracts                 | 10.7                   | 92002           | 92499            | 1 in 6 (over 40 years) |
+    | 3         | 👂 Ears          | 🐚 Cochlea           | Hearing                       | 📢 Hearing Loss              | 7.1                    | 92502           | 92700            | 1 in 8 (over 12 years) |
+    | 4         | 👃 Nose          | 👃 Olfactory Bulb    | Smell                         | 🤧 Allergies                 | 25                     | 31231           | 31294            | 1 in 3         |
+    | 5         | 👄 Mouth         | 👅 Tongue            | Taste                         | 🦷 Dental Issues             | 130                    | 00100           | 00192            | 1 in 2         |
+    | 6         | 🫁 Neck          | 🦋 Thyroid           | Metabolism                    | 🦠 Hypothyroidism            | 3.1                    | 60210           | 60271            | 1 in 20        |
+    | 7         | 💪 Upper Body    | ❤️ Heart             | Circulation                   | 💔 Heart Disease             | 230                    | 92920           | 93799            | 1 in 4 (over 65 years) |
+    | 8         | 💪 Upper Body    | 🫁 Lungs             | Respiration                   | 😷 Chronic Obstructive Pulmonary Disease | 70   | 94002           | 94799            | 1 in 20 (over 45 years) |
+    | 9         | 💪 Upper Body    | 🍷 Liver             | Detoxification                | 🍺 Liver Disease             | 40                     | 47000           | 47999            | 1 in 10        |
+    | 10        | 💪 Upper Body    | 🍹 Kidneys           | Filtration                    | 🌊 Chronic Kidney Disease    | 110                    | 50010           | 50999            | 1 in 7         |
+    | 11        | 💪 Upper Body    | 💉 Pancreas          | Insulin secretion             | 🍬 Diabetes                  | 327                    | 48100           | 48999            | 1 in 10        |
+    | 12        | 💪 Upper Body    | 🍽️ Stomach          | Digestion                     | 🔥 Gastroesophageal Reflux Disease | 17          | 43200           | 43289            | 1 in 5         |
+    | 13        | 💪 Upper Body    | 🛡️ Spleen            | Immune functions              | 🩸 Anemia                    | 5.6                    | 38100           | 38199            | 1 in 6         |
+    | 14        | 💪 Upper Body    | 🫀 Blood Vessels     | Circulation of blood          | 🚑 Hypertension              | 55                     | 40110           | 40599            | 1 in 3         |
+    | 15        | 🦵 Lower Body    | 🍝 Colon             | Absorption of water, minerals | 🌟 Colorectal Cancer         | 14                     | 45378           | 45378            | 1 in 23        |
+    | 16        | 🦵 Lower Body    | 🚽 Bladder           | Urine excretion               | 💧 Urinary Incontinence      | 8                      | 51700           | 51798            | 1 in 4 (over 65 years) |
+    | 17        | 🦵 Lower Body    | 💞 Reproductive Organs | Sex hormone secretion        | 🎗️ Endometriosis            | 22                     | 56405           | 58999            | 1 in 10 (women) |
+    | 18        | 🦶 Feet          | 🎯 Nerve endings      | Balance and movement          | 🤕 Peripheral Neuropathy     | 19                     | 95900           | 96004            | 1 in 30        |
+    | 19        | 🦶 Feet          | 🌡️ Skin              | Temperature regulation        | 🌞 Skin Cancer               | 8.1                    | 96910           | 96999            | 1 in 5         |
+    | 20        | 🦶 Feet          | 💪 Muscles           | Movement and strength         | 🏋️‍♂️ Musculoskeletal Disorders | 176              | 97110           | 97799            | 1 in 2         |
+    
+    """)
+
+body_map_data = {
+    "🧠 Central Nervous System": {
+        "Brain": ["Cognitive functions", "Emotion regulation", "Neural coordination"],
+        "Spinal Cord": ["Nerve signal transmission", "Reflex actions", "Connects brain to body"],
+    },
+    "👀 Sensory Organs": {
+        "Eyes": ["Vision", "Light perception", "Color differentiation"],
+        "Ears": ["Hearing", "Balance maintenance", "Sound localization"],
+        "Nose": ["Smell detection", "Olfactory signaling", "Air filtration"],
+        "Tongue": ["Taste perception", "Texture sensing", "Temperature feeling"],
+        "Skin": ["Touch sensation", "Temperature regulation", "Protection against pathogens"],
+    },
+    "🫁 Respiratory System": {
+        "Lungs": ["Gas exchange", "Oxygen intake", "Carbon dioxide expulsion"],
+        "Trachea": ["Airway protection", "Mucus secretion", "Cough reflex"],
+    },
+    "❤️ Circulatory System": {
+        "Heart": ["Blood pumping", "Circulatory regulation", "Oxygen and nutrients distribution"],
+        "Blood Vessels": ["Blood transport", "Nutrient delivery", "Waste removal"],
+    },
+    "🍽️ Digestive System": {
+        "Stomach": ["Food breakdown", "Enzyme secretion", "Nutrient digestion"],
+        "Intestines": ["Nutrient absorption", "Waste processing", "Microbiome hosting"],
+    },
+    "💪 Musculoskeletal System": {
+        "Bones": ["Structural support", "Protection of organs", "Mineral storage"],
+        "Muscles": ["Movement facilitation", "Posture maintenance", "Heat production"],
+    },
+    "🚽 Excretory System": {
+        "Kidneys": ["Waste filtration", "Water balance", "Electrolyte regulation"],
+        "Bladder": ["Urine storage", "Excretion control", "Toxin removal"],
+    },
+    "💞 Endocrine System": {
+        "Thyroid": ["Metabolic regulation", "Hormone secretion", "Energy management"],
+        "Adrenal Glands": ["Stress response", "Metabolism control", "Immune system regulation"],
+    },
+    "🧬 Reproductive System": {
+        "Male Reproductive Organs": ["Sperm production", "Sexual function", "Hormone synthesis"],
+        "Female Reproductive Organs": ["Egg production", "Fetus gestation", "Hormone regulation"],
+    },
+    "🩸 Immune System": {
+        "White Blood Cells": ["Pathogen defense", "Infection response", "Immunity maintenance"],
+        "Lymphatic System": ["Fluid balance", "Waste removal", "Antibody production"],
+    },
+    "🧘 Integrative Body Functions": {
+        "Sleep Regulation": ["Rest and recovery", "Memory consolidation", "Energy conservation"],
+        "Stress Management": ["Coping mechanisms", "Hormonal balance", "Emotional regulation"],
+    },
+    "🔬 Research and Innovations": {
+        "Genetic Studies": ["Disease predisposition", "Trait inheritance", "Gene therapy"],
+        "Biomedical Engineering": ["Medical devices", "Prosthetics design", "Healthcare technologies"],
+    },
+    "🎓 Education and Awareness": {
+        "Anatomy and Physiology": ["Body structure", "Function understanding", "Health education"],
+        "Public Health Initiatives": ["Disease prevention", "Health promotion", "Community wellness"],
+    },
+}
+
+
+
 # Ensure the directory for storing scores exists
 score_dir = "scores"
 os.makedirs(score_dir, exist_ok=True)
@@ -51,61 +167,9 @@ def load_score(key):
         return score_data["score"]
     return 0
 
-roleplaying_glossary = {
-    "🎴 Traditional Card Games": {
-        "Bridge": ["Trick-taking", "Bidding and partnership", "Complex scoring"],
-        "Poker": ["Betting/Card ranking", "Bluffing and hand management", "Various play styles"],
-        "Hearts": ["Trick-avoidance", "Passing cards strategy", "Shooting the moon"],
-        "Spades": ["Trick-taking", "Partnership and bidding", "Blind bidding"],
-        "Rummy": ["Matching", "Set and run formation", "Point scoring"],
-    },
-    "🔮 Collectible Card Games (CCGs)": {
-        "Magic: The Gathering": ["Deck building", "Resource management", "Strategic play"],
-        "Yu-Gi-Oh!": ["Dueling", "Summoning strategies", "Trap and spell cards"],
-        "Pokémon TCG": ["Collectible", "Type advantages", "Energy management"],
-        "KeyForge": ["Unique deck", "No deck building", "Chain system"],
-        "Legend of the Five Rings": ["Living Card Game", "Honor and conflict", "Clan loyalty"],
-    },
-    "🕹️ Digital Card Games": {
-        "Hearthstone": ["Digital CCG", "Hero powers", "Expansive card sets"],
-        "Gwent": ["Strategic depth", "Row-based play", "Witcher universe"],
-        "Slay the Spire": ["Roguelike deck-builder", "Card drafting", "Relic synergies"],
-        "Eternal Card Game": ["Digital CCG", "Cross-platform", "Drafting and events"],
-    },
-    "💻 Card Battler Video Games": {
-        "Yu-Gi-Oh! Duel Links": ["Speed Duel format", "Mobile and PC", "Competitive ladder"],
-        "Magic: The Gathering Arena": ["Digital adaptation", "Regular updates", "Esports"],
-        "Monster Train": ["Roguelike", "Multi-tiered defense", "Clan synergies"],
-        "Legends of Runeterra": ["League of Legends universe", "Dynamic combat", "Champion leveling"],
-    },
-    "🧠 Game Design and Dynamics": {
-        "Deck Building Strategies": ["Card synergy", "Mana curve", "Meta considerations"],
-        "Gameplay Mechanics": ["Turn-based", "Resource management", "Combat dynamics"],
-        "Player Engagement": ["Replayability", "Strategic depth", "Social play"],
-    },
-    "📚 Lore & Background": {
-        "Magic: The Gathering": ["Rich lore", "Multiverse settings", "Planeswalker stories"],
-        "Yu-Gi-Oh!": ["Anime-based", "Duel Monsters", "Egyptian mythology"],
-        "Legends of Runeterra": ["Expansive lore", "Champion backstories", "Faction conflicts"],
-    },
-    "🛠️ Digital Tools & Platforms": {
-        "Online Play": ["Remote gameplay", "Digital tournaments", "Community events"],
-        "Deck Building Tools": ["Card database access", "Deck testing", "Community sharing"],
-        "Strategy Guides": ["Meta analysis", "Deck guides", "Tournament reports"],
-    },
-    "🎖️ Competitive Scene": {
-        "Tournaments": ["Local game stores", "Regional competitions", "World championships"],
-        "Ranking Systems": ["Elo ratings", "Ladder rankings", "Seasonal rewards"],
-        "Esports": ["Live-streamed events", "Professional teams", "Sponsorships"],
-    },
-}
 
 
 def search_glossary(query):
-    for category, terms in roleplaying_glossary.items():
-        if query.lower() in (term.lower() for term in terms):
-            st.markdown(f"#### {category}")
-            st.write(f"- {query}")
 
     st.write('## ' + query)
     
@@ -144,17 +208,17 @@ def display_glossary(glossary, area):
 
 
 # Function to display the entire glossary in a grid format with links
-def display_glossary_grid(roleplaying_glossary):
+def display_glossary_grid(body_map_data):
     search_urls = {
         "📖": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
         "🔍": lambda k: f"https://www.google.com/search?q={quote(k)}",
         "▶️": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
         "🔎": lambda k: f"https://www.bing.com/search?q={quote(k)}",
-        "🎲": lambda k: f"https://huggingface.co/spaces/awacke1/MixableCardGameAI?q={quote(k)}",  # this url plus query!
+        "🎲": lambda k: f"https://huggingface.co/spaces/awacke1/AI-ChatGPT-CPT-Body-Map-Cost?q={quote(k)}",  # this url plus query!
         
     }
 
-    for category, details in roleplaying_glossary.items():
+    for category, details in body_map_data.items():
         st.write(f"### {category}")
         cols = st.columns(len(details))  # Create dynamic columns based on the number of games
         for idx, (game, terms) in enumerate(details.items()):
@@ -190,7 +254,7 @@ topic_emojis = {
 
 # Adjusted display_buttons_with_scores function
 def display_buttons_with_scores():
-    for category, games in roleplaying_glossary.items():
+    for category, games in body_map_data.items():
         category_emoji = topic_emojis.get(category, "🔍")  # Default to search icon if no match
         st.markdown(f"## {category_emoji} {category}")
         for game, terms in games.items():
@@ -205,7 +269,7 @@ def display_buttons_with_scores():
                     # -----------------------------------------------------------------
                     # query_body = f"Create a detailed outline for **{term}** with subpoints highlighting key aspects, using emojis for visual engagement. Include step-by-step rules and boldface important entities and ruleset elements."
                     query_body = f"Create a streamlit python app.py that produces a detailed markdown outline and CSV dataset user interface with an outline for **{term}** with subpoints highlighting key aspects, using emojis for visual engagement. Include step-by-step rules and boldface important entities and ruleset elements."
-                    response = search_glossary(query_prefix + query_body, roleplaying_glossary)
+                    response = search_glossary(query_prefix + query_body, body_map_data)
 
 
 def fetch_wikipedia_summary(keyword):
@@ -291,95 +355,6 @@ def display_content_or_image(query):
 
 
 
-    
-# Imports
-import base64
-import glob
-import json
-import math
-import openai
-import os
-import pytz
-import re
-import requests
-import streamlit as st
-import textract
-import time
-import zipfile
-import huggingface_hub
-import dotenv
-from audio_recorder_streamlit import audio_recorder
-from bs4 import BeautifulSoup
-from collections import deque
-from datetime import datetime
-from dotenv import load_dotenv
-from huggingface_hub import InferenceClient
-from io import BytesIO
-from langchain.chat_models import ChatOpenAI
-from langchain.chains import ConversationalRetrievalChain
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.memory import ConversationBufferMemory
-from langchain.text_splitter import CharacterTextSplitter
-from langchain.vectorstores import FAISS
-from openai import ChatCompletion
-from PyPDF2 import PdfReader
-from templates import bot_template, css, user_template
-from xml.etree import ElementTree as ET
-import streamlit.components.v1 as components  # Import Streamlit Components for HTML5
-
-
-def add_Med_Licensing_Exam_Dataset():
-    import streamlit as st
-    from datasets import load_dataset
-    dataset = load_dataset("augtoma/usmle_step_1")['test']  # Using 'test' split
-    st.title("USMLE Step 1 Dataset Viewer")
-    if len(dataset) == 0:
-        st.write("😢 The dataset is empty.")
-    else:
-        st.write("""
-        🔍 Use the search box to filter questions or use the grid to scroll through the dataset.
-        """)
-    
-        # 👩‍🔬 Search Box
-        search_term = st.text_input("Search for a specific question:", "")
-        
-        # 🎛 Pagination
-        records_per_page = 100
-        num_records = len(dataset)
-        num_pages = max(int(num_records / records_per_page), 1)
-        
-        # Skip generating the slider if num_pages is 1 (i.e., all records fit in one page)
-        if num_pages > 1:
-            page_number = st.select_slider("Select page:", options=list(range(1, num_pages + 1)))
-        else:
-            page_number = 1  # Only one page
-        
-        # 📊 Display Data
-        start_idx = (page_number - 1) * records_per_page
-        end_idx = start_idx + records_per_page
-    
-        # 🧪 Apply the Search Filter
-        filtered_data = []
-        for record in dataset[start_idx:end_idx]:
-            if isinstance(record, dict) and 'text' in record and 'id' in record:
-                if search_term:
-                    if search_term.lower() in record['text'].lower():
-                        st.markdown(record)
-                        filtered_data.append(record)
-                else:
-                    filtered_data.append(record)
-    
-        # 🌐 Render the Grid
-        for record in filtered_data:
-            st.write(f"## Question ID: {record['id']}")
-            st.write(f"### Question:")
-            st.write(f"{record['text']}")
-            st.write(f"### Answer:")
-            st.write(f"{record['answer']}")
-            st.write("---")
-    
-        st.write(f"😊 Total Records: {num_records} | 📄 Displaying {start_idx+1} to {min(end_idx, num_records)}")
-
 # 1. Constants and Top Level UI Variables
 
 # My Inference API Copy
@@ -398,52 +373,6 @@ key = os.getenv('OPENAI_API_KEY')
 prompt = f"Write instructions to teach discharge planning along with guidelines and patient education. List entities, features and relationships to CCDA and FHIR objects in boldface."
 should_save = st.sidebar.checkbox("💾 Save", value=True, help="Save your session data.")
 
-# 2. Prompt label button demo for LLM
-def add_witty_humor_buttons():
-    with st.expander("Wit and Humor 🤣", expanded=True):
-        # Tip about the Dromedary family
-        st.markdown("🔬 **Fun Fact**: Dromedaries, part of the camel family, have a single hump and are adapted to arid environments. Their 'superpowers' include the ability to survive without water for up to 7 days, thanks to their specialized blood cells and water storage in their hump.")
-        
-        # Define button descriptions
-        descriptions = {
-            "Generate Limericks 😂": "Write ten random adult limericks based on quotes that are tweet length and make you laugh 🎭",
-            "Wise Quotes 🧙": "Generate ten wise quotes that are tweet length 🦉",
-            "Funny Rhymes 🎤": "Create ten funny rhymes that are tweet length 🎶",
-            "Medical Jokes 💉": "Create ten medical jokes that are tweet length 🏥",
-            "Minnesota Humor ❄️": "Create ten jokes about Minnesota that are tweet length 🌨️",
-            "Top Funny Stories 📖": "Create ten funny stories that are tweet length 📚",
-            "More Funny Rhymes 🎙️": "Create ten more funny rhymes that are tweet length 🎵"
-        }
-        
-        # Create columns
-        col1, col2, col3 = st.columns([1, 1, 1], gap="small")
-        
-        # Add buttons to columns
-        if col1.button("Wise Limericks 😂"):
-            StreamLLMChatResponse(descriptions["Generate Limericks 😂"])
-        
-        if col2.button("Wise Quotes 🧙"):
-            StreamLLMChatResponse(descriptions["Wise Quotes 🧙"])
-        
-        #if col3.button("Funny Rhymes 🎤"):
-        #    StreamLLMChatResponse(descriptions["Funny Rhymes 🎤"])
-        
-        col4, col5, col6 = st.columns([1, 1, 1], gap="small")
-        
-        if col4.button("Top Ten Funniest Clean Jokes 💉"):
-            StreamLLMChatResponse(descriptions["Top Ten Funniest Clean Jokes  💉"])
-        
-        if col5.button("Minnesota Humor ❄️"):
-            StreamLLMChatResponse(descriptions["Minnesota Humor ❄️"])
-        
-        if col6.button("Origins of Medical Science True Stories"):
-            StreamLLMChatResponse(descriptions["Origins of Medical Science True Stories"])
-        
-        col7 = st.columns(1, gap="small")
-        
-        if col7[0].button("Top Ten Best Write a streamlit python program prompts to build AI programs. 🎙️"):
-            StreamLLMChatResponse(descriptions["Top Ten Best Write a streamlit python program prompts to build AI programs. 🎙️"])
-
 def SpeechSynthesis(result):
     documentHTML5='''
     <!DOCTYPE html>
@@ -658,7 +587,7 @@ def read_file_content(file,max_length):
     else:
         return ""
 
-# 11. Chat with GPT - Caution on quota - now favoring fastest AI pipeline STT Whisper->LLM Llama->TTS
+# 11. Chat with GPT - Caution on quota 
 @st.cache_resource
 def chat_with_model(prompt, document_section='', model_choice='gpt-3.5-turbo'):
     model = model_choice
@@ -690,16 +619,6 @@ def chat_with_model(prompt, document_section='', model_choice='gpt-3.5-turbo'):
     st.write(time.time() - start_time)
     return full_reply_content
 
-# 12. Embedding VectorDB for LLM query of documents to text to compress inputs and prompt together as Chat memory using Langchain
-@st.cache_resource
-def chat_with_file_contents(prompt, file_content, model_choice='gpt-3.5-turbo'):
-    conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
-    conversation.append({'role': 'user', 'content': prompt})
-    if len(file_content)>0:
-        conversation.append({'role': 'assistant', 'content': file_content})
-    response = openai.ChatCompletion.create(model=model_choice, messages=conversation)
-    return response['choices'][0]['message']['content']
-
 def extract_mime_type(file):
     if isinstance(file, str):
         pattern = r"type='(.*?)'"
@@ -904,77 +823,6 @@ def StreamMedChatResponse(topic):
     st.write(f"Showing resources or questions related to: {topic}")
 
 
-
-def add_medical_exam_buttons():
-    # Medical exam terminology descriptions
-    descriptions = {
-        "White Blood Cells 🌊": "3 Q&A with emojis about types, facts, function, inputs and outputs of white blood cells 🎥",
-        "CT Imaging🦠": "3 Q&A with emojis on CT Imaging post surgery, how to, what to look for 💊",
-        "Hematoma 💉": "3 Q&A with emojis about hematoma and infection care and study including bacteria cultures and tests or labs💪",
-        "Post Surgery Wound Care 🍌": "3 Q&A with emojis on wound care, and good bedside manner 🩸",
-        "Healing and humor 💊": "3 Q&A with emojis on stories and humor about healing and caregiving 🚑",
-        "Psychology of bedside manner 🧬": "3 Q&A with emojis on bedside manner and how to make patients feel at ease🛠",
-        "CT scan 💊": "3 Q&A with analysis on infection using CT scan and packing for skin, cellulitus and fascia 🩺"
-    }
-
-    # Expander for medical topics
-    with st.expander("Medical Licensing Exam Topics 📚", expanded=False):
-        st.markdown("🩺 **Important**: Variety of topics for medical licensing exams.")
-
-        # Create buttons for each description with unique keys
-        for idx, (label, content) in enumerate(descriptions.items()):
-            button_key = f"button_{idx}"
-            if st.button(label, key=button_key):
-                st.write(f"Running {label}")
-                input='Create markdown outline for definition of topic ' + label + ' also short quiz with appropriate emojis and definitions for:  ' + content
-                response=StreamLLMChatResponse(input)
-                filename = generate_filename(response, 'txt')   
-                create_file(filename, input, response, should_save)
-
-def add_medical_exam_buttons2():
-    with st.expander("Medical Licensing Exam Topics 📚", expanded=False):
-        st.markdown("🩺 **Important**: This section provides a variety of medical topics that are often encountered in medical licensing exams.")
-
-        # Define medical exam terminology descriptions
-        descriptions = {
-            "White Blood Cells 🌊": "3 Questions and Answers with emojis about white blood cells 🎥",
-            "CT Imaging🦠": "3 Questions and Answers with emojis about CT Imaging of post surgery abscess, hematoma, and cerosanguiness fluid 💊",
-            "Hematoma 💉": "3 Questions and Answers with emojis about hematoma and infection and how heat helps white blood cells 💪",
-            "Post Surgery Wound Care 🍌": "3 Questions and Answers with emojis about wound care and how to help as a caregiver🩸",
-            "Healing and humor 💊": "3 Questions and Answers with emojis on the use of stories and humor to help patients and family ��",
-            "Psychology of bedside manner 🧬": "3 Questions and Answers with emojis  about good bedside manner 🛠",
-            "CT scan 💊": "3 Questions and Answers with analysis of bacteria and understanding infection using cultures and CT scan 🩺"
-        }
-
-        # Create columns
-        col1, col2, col3, col4 = st.columns([1, 1, 1, 1], gap="small")
-        
-        # Add buttons to columns
-        if col1.button("Ultrasound with Doppler 🌊"):
-            StreamLLMChatResponse(descriptions["Ultrasound with Doppler 🌊"])
-
-        if col2.button("Oseltamivir 🦠"):
-            StreamLLMChatResponse(descriptions["Oseltamivir 🦠"])
-
-        if col3.button("IM Epinephrine 💉"):
-            StreamLLMChatResponse(descriptions["IM Epinephrine 💉"])
-
-        if col4.button("Hypokalemia 🍌"):
-            StreamLLMChatResponse(descriptions["Hypokalemia 🍌"])
-
-        col5, col6, col7, col8 = st.columns([1, 1, 1, 1], gap="small")
-
-        if col5.button("Succinylcholine 💊"):
-            StreamLLMChatResponse(descriptions["Succinylcholine 💊"])
-
-        if col6.button("Phosphoinositol System 🧬"):
-            StreamLLMChatResponse(descriptions["Phosphoinositol System 🧬"])
-
-        if col7.button("Ramipril 💊"):
-            StreamLLMChatResponse(descriptions["Ramipril 💊"])
-        
-
-
 # 17. Main
 def main():
     prompt = f"Write ten funny jokes that are tweet length stories that make you laugh.  Show as markdown outline with emojis for each."
@@ -1225,11 +1073,7 @@ def main():
     #st.markdown("## Glossary Lookup\nEnter a term in the URL query, like `?q=Nanotechnology` or `?query=Martian Syndicate`.")
                         
     st.markdown('''
-  ### Mixable Card Game AI 🃏🚀📚
-- **Elevate Your Game with Mixable Card Game AI:** Dive into a universe where strategy meets creativity. 
-- **Capabilities:** Crafts intricate glossaries, dynamic rule sets, and seamless jump-link brains.
-- **Experience:** Transforms every card game into an adventure, making it more than just play.
-- **Query Parameter Usage:** Enter a card game term in the URL query, like `?q=MagicTheGathering` or `?query=DeckBuilding`, to dive deeper into your game of choice.
+  ### Mixable AI 🃏🚀📚
     ''')
     
     try:
@@ -1242,8 +1086,8 @@ def main():
         st.markdown('No glossary lookup')
 
     # Display the glossary grid
-    st.title("Card Games Glossary 🎲")
-    display_glossary_grid(roleplaying_glossary)
+    st.title("Body Map Glossary 🎲")
+    display_glossary_grid(body_map_data)
     st.title("🎲🗺️ Card Game Universe")
     st.markdown("## Explore the vast universes of Dungeons and Dragons, Call of Cthulhu, GURPS, and more through interactive storytelling and encyclopedic knowledge.🌠")