ArtificialSuperIntelligence

classroom

AI & ML interests

Artificial Super Intelligence - **Generative Video**: Create new videos using AI. - **Video to Video (Gen-1)**: Transform videos into new versions. - **Generative Audio**: Generate audio content with AI. - **Text to Image**: Turn text descriptions into images.

Recent Activity

AIPP - Two part MoE for Specification and then creation of Streamlit/Gradio/HTML app from specification.

Examining the AI pipeline and model based app tools below, below are the features we notice.

AI Best in Industry 2024:

  1. RunwayML: https://app.runwayml.com/
  2. Leonardo AI: https://app.leonardo.ai/
  3. Krea: https://www.krea.ai/
  4. Suno: https://suno.com/
  5. MetaAI: https://www.meta.ai/
  6. Luma: https://lumalabs.ai/dream-machine/creations
  7. Magnific: https://magnific.ai/
  8. ChatGPT: https://chatgpt.com/
  9. Claude: https://claude.ai/
  10. Grok: https://x.com/i/grok
  11. GMessages: https://messages.google.com/
  12. XPro: https://pro.twitter.com/i/decks/1753205026116288825
  13. Hailuo: https://hailuoai.video/mine
  14. Midjourney: https://www.midjourney.com/archive
  15. Hunyuan: https://hunyuanvideoai.com/dashboard
  16. Kling: https://klingai.com/user-profile/works/all
  17. ClipChamp: https://app.clipchamp.com/
  18. Github: https://github.com/marketplace/models/
  19. Sora: https://sora.com/
  20. GPhotos: https://photos.google.com/
  21. Huggingface: https://huggingface.co/awacke1

AI Best of Aaron Wacker 2024:

  1. 🧠GPT: https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video
  2. 🧠📝🔊GPT4O🖼️🎥: https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video
  3. 🧠GPTSB: https://huggingface.co/spaces/awacke1/ScienceBrain.AI
  4. 🧠Claude: https://huggingface.co/spaces/awacke1/AnthropicClaude3.5Sonnet-ACW
  5. 🧠🌌AzCDB🐙: https://huggingface.co/spaces/awacke1/AzureCosmosDBUI
  6. 🧠GPTMME📱: https://huggingface.co/spaces/awacke1/GPT-4o-omni-ReactTypescriptGenerator
  7. 🧑‍💼ZHot📱🔥: https://huggingface.co/spaces/awacke1/ZeroHot
  8. 🧑‍💼📖PMD🌐: https://huggingface.co/spaces/AzureModels4AI/PeopleModelsDatasets2X
  9. 🧑‍💼📖⚙️PP🌍🚀: https://huggingface.co/spaces/awacke1/PaperPulse
  10. 🧑‍💼📚APS📖🔍: https://huggingface.co/spaces/awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern
  11. 🌄RT3D📱: https://huggingface.co/spaces/awacke1/3D-Depth-Model-From-Image
  12. 🌄Img📱: https://huggingface.co/spaces/awacke1/OpenAI-CLIP-JavaScript
  13. 🌄D1: https://huggingface.co/spaces/awacke1/OpenDalleV1.1-GPU-Demo
  14. 🌄D3: https://huggingface.co/spaces/awacke1/dalle-3-xl-lora-v2
  15. 🌄✏️: https://huggingface.co/spaces/awacke1/Image-to-Line-Drawings
  16. 🌄RTI📝: https://huggingface.co/spaces/awacke1/RealTimeImageGen
  17. 🎵📝🎸CS: https://huggingface.co/spaces/awacke1/ChordPrompter
  18. 🎧RTA🔊🎶: https://huggingface.co/spaces/awacke1/AudioFileGenerationWithSDAudio
  19. 📺RTV🖼️🎥: https://huggingface.co/spaces/awacke1/stable-video-diffusion

Specification Outlines:

📚 Library

  • Assets: Manage all your assets in one place.
  • Workspace Assets: Access assets shared within your workspace.
  • Favorite Assets: Quickly access your favorite assets.
  • Custom Elements: View and create custom elements.

📊 Tools

  • Generative Video: Create new videos using AI.
  • Video to Video (Gen-1): Transform videos into new versions.
  • Generative Audio: Generate audio content with AI.
  • Text to Image: Turn text descriptions into images.

🖼️ Recently Exported Images

  • Display the latest exported images with relevant details such as export date and image name.

🗂️ New Folder Button

  • Create new folders to organize assets.

⬆️ Upload Button

  • Upload new files directly to your library.

📑 Assets Data Design

  • Fields:
    • Name: The name of the asset.
    • Type: The type of media (image, video, audio).
    • Media: Media details and format (e.g., 1920x1080, .png, .mp4).
    • Duration: Length of video or audio assets.
    • Creator: The person who uploaded the asset.
    • Created: Date when the asset was created.
    • Favorite: Mark an asset as favorite.
    • Options: Extra actions such as viewing, exporting, or editing the asset.

import streamlit as st

# Sidebar for the UI
st.sidebar.title("📚 Library")
st.sidebar.button("Assets")
st.sidebar.button("Workspace Assets")
st.sidebar.button("Favorite Assets")
st.sidebar.button("Custom Elements")

st.sidebar.title("📊 Tools")
st.sidebar.button("Generative Video")
st.sidebar.button("Video to Video (Gen-1)")
st.sidebar.button("Generative Audio")
st.sidebar.button("Text to Image")

# Main Section for recently exported images and asset data
st.title("🖼️ Recently Exported")
st.image("path_to_exported_image.png", caption="Gen-3 Alpha", width=300)
st.image("path_to_exported_image_2.png", caption="Chrome Sorceress", width=300)

# New Folder and Upload buttons
st.button("🗂️ New Folder")
st.button("⬆️ Upload")

# Asset Table
st.subheader("📑 Assets")

# Sample data for asset table
import pandas as pd
data = {
    "Name": ["Generative Audio", "Generative Video", "Dance into Shadows.mp4", "Chrome Sorceress.png"],
    "Type": ["Folder", "Folder", "Video", "Image"],
    "Media": ["-", "-", "1920x1080", "1024x1024"],
    "Duration": ["-", "-", "02:34", "-"],
    "Creator": ["User1", "User1", "User2", "User2"],
    "Created": ["3 months ago", "3 months ago", "1 month ago", "1 month ago"],
    "Favorite": ["❤️", "❤️", "", ""]
}

df = pd.DataFrame(data)
st.table(df)






# Sidebar Topics and UI Design

## 🖼️ Your Generations
- View the images generated by the user.

## 📊 Follower Feed
- See the latest creations from followed users.

## ❤️ Liked Feed
- Access the images you have liked.

## 🗂️ Collections (Beta)
- Organize your creations into collections.

## 🧑‍💻 AI Tools
- **Image Creation**: Generate new images using AI.
- **Motion**: Create animated content from images.
- **Realtime Canvas**: Edit images in real-time with canvas tools.
- **Realtime Generation**: Generate images instantly.
- **Canvas Editor**: Edit and fine-tune images with advanced tools.
- **Universal Upscaler**: Increase the resolution of images without losing quality.

## ⚙️ Advanced Features
- **Finetuned Models**: Access models that have been finetuned for specific tasks.
- **Training & Datasets**: Create custom datasets and train models.
- **Texture Generation (Alpha)**: Generate textures for 3D models (in Alpha testing).

## 🔧 Utility Sections
- **What's New**: Discover new features.
- **Premium Plans**: Explore subscription options.
- **API Access**: Access programmatic tools for image generation.
- **Settings**: Customize your user experience.
- **FAQ & Help**: Find answers to common questions.


## Leonardo.Ai Specification to New Integration Py App
import streamlit as st

# Sidebar for the UI
st.sidebar.title("🖼️ Your Generations")
st.sidebar.button("Follower Feed")
st.sidebar.button("Liked Feed")
st.sidebar.button("Collections (Beta)")

st.sidebar.title("🧑‍💻 AI Tools")
st.sidebar.button("Image Creation")
st.sidebar.button("Motion")
st.sidebar.button("Realtime Canvas")
st.sidebar.button("Realtime Generation")
st.sidebar.button("Canvas Editor")
st.sidebar.button("Universal Upscaler")

st.sidebar.title("⚙️ Advanced Features")
st.sidebar.button("Finetuned Models")
st.sidebar.button("Training & Datasets")
st.sidebar.button("Texture Generation (Alpha)")

# Utility Sections
st.sidebar.title("🔧 Utility")
st.sidebar.button("What's New")
st.sidebar.button("Premium Plans")
st.sidebar.button("API Access")
st.sidebar.button("Settings")
st.sidebar.button("FAQ & Help")

# Main Section for displaying images
st.title("📚 Library")

# Search bar
st.text_input("Search gallery", "")

# Image grid (example placeholders for images)
st.subheader("Your Generations")
cols = st.columns(4)

with cols[0]:
    st.image("path_to_image1.png", caption="Image 1")
    st.checkbox("Select")
with cols[1]:
    st.image("path_to_image2.png", caption="Image 2")
    st.checkbox("Select")
with cols[2]:
    st.image("path_to_image3.png", caption="Image 3")
    st.checkbox("Select")
with cols[3]:
    st.image("path_to_image4.png", caption="Image 4")
    st.checkbox("Select")

# Slider for adjusting view size
st.slider("Image size", min_value=0, max_value=100, value=50)








# Sidebar Topics and UI Design

## 🖼️ Home
- **Flux**: Generate high-quality images with Flux.
  - Button: "Generate Image"
- **Realtime**: Instant AI image generation.
  - Button: "Compose Image"
- **Enhancer**: Upscale images and videos.
  - Button: "Upscale & Enhance"
- **Video**: AI video generation.
  - Button: "Generate Video"

## 📁 Gallery
- Explore generated images and videos in the gallery.

## 🛠️ Generate
- Create new images and videos using AI.

## 💾 Assets
- Access all the assets you've generated.

## ✨ Enhance
- Use enhancement tools for image and video quality.

## 🛠️ Advanced Features
- **Pricing**: Learn about the pricing plans.
- **Discord**: Join the community on Discord.
- **Careers**: Explore career opportunities.

---

### Streamlit UI Code

Here is the corresponding Streamlit code that replicates the structure of the screenshot:

```python
import streamlit as st

# Sidebar for navigation
st.sidebar.title("🖼️ Home")
st.sidebar.button("Flux")
st.sidebar.button("Realtime")
st.sidebar.button("Enhancer")
st.sidebar.button("Video")

st.sidebar.title("📁 Gallery")
st.sidebar.button("Explore Gallery")

st.sidebar.title("🛠️ Generate")
st.sidebar.button("Create New Image/Video")

st.sidebar.title("💾 Assets")
st.sidebar.button("View All Assets")

st.sidebar.title("✨ Enhance")
st.sidebar.button("Use Enhancement Tools")

st.sidebar.title("⚙️ Advanced Features")
st.sidebar.button("Pricing")
st.sidebar.button("Discord")
st.sidebar.button("Careers")

# Main section content
st.title("Welcome to Krea AI")

# Section for Flux generation
st.subheader("Flux: High-quality Generations")
st.image("path_to_flux_image.png", caption="High quality generations")
st.button("Generate Image")

# Section for Realtime AI generation
st.subheader("Realtime: Instant AI Generation")
st.image("path_to_realtime_image.png", caption="Realtime generation")
st.button("Compose Image")

# Section for Enhancer
st.subheader("Enhancer: Upscale Images & Videos")
st.image("path_to_enhancer_image.png", caption="Upscale & Enhance")
st.button("Upscale & Enhance")

# Section for Video generation
st.subheader("Video: AI Video Generation")
st.image("path_to_video_image.png", caption="AI Video Generation")
st.button("Generate Video")

# Footer with links
st.write("---")
st.write("Terms of Use | Privacy Policy")







# Sidebar Topics and UI Design

## 🎶 Create Music
- **Lyrics or Instrumental**: 
  - Input your own lyrics or describe a song.
  - Toggle between lyrics and instrumental modes.
  - Option to upload audio.
- **Style of Music**: 
  - Enter or select music styles. 
  - Toggle to exclude specific styles.
  - Suggested styles include atmospheric, smooth, edm, psychedelic.
- **Title**: 
  - Enter a title for your creation.
- **Create Button**: 
  - Start the creation process with the button below.

## 🎧 Generated Songs
- Display previously generated songs, each with:
  - **Extend Button**: Allows users to continue working on the song.
  - **Visibility Toggle**: Mark song as public or private.
  - **Sharing Options**: Share, edit, or delete options.
  
## 🔍 Sidebar
- **Home**: Navigate back to the home page.
- **Create**: Start creating a new song.
- **Library**: View your music library.
- **Explore**: Discover other songs.
- **Search**: Search for specific tracks.

## 🎤 Song Details (Sidebar section on the right)
- **Cover Songs Section**: 
  - Displays options for covering popular songs like "Island Groove", "Electric", and "Percussion".
  - Button to try covering the most popular songs (200 free cover songs remaining).
  
## ⚙️ Utility Links
- **2890 Credits**: Remaining credits available.
- **Subscribe**: Access subscription options.
- **What's New?**: Check for recent updates.
- **FAQ**: Access help and frequently asked questions.
- **About**: Learn more about the platform.
- **Careers**: Explore career opportunities.







# Sidebar Topics and UI Design

## 💬 New Conversation
- Start a new chat with Meta AI.

## 💾 Saved Conversations
- Access previously saved conversations.

## 🕒 History
- View recent interactions, such as **Pumpkin Flicks**.

## 🌟 Main Options
- **Be my fitness coach**: Get personalized fitness advice.
- **Simulate a mock interview**: Practice interview questions with AI.
- **Imagine an image**: Generate images based on text descriptions.

## 🔮 AI Demos
- Explore experimental AI demos and new features.

## 🔗 Footer Information
- **AI Demos**: Direct access to experimental AI demos.








# AI Demo Interface Design

## 💡 Explore Future Possibilities with AI
- **Segment Anything 2**: 
  - Create video cutouts and other visual effects with a few clicks.
  - Category: Vision AI.
  - Button: "Try it".
  
- **Seamless Translation**: 
  - Hear what you sound like in another language.
  - Category: Language AI.
  - Button: "Try it".

- **Animated Drawings**: 
  - Bring hand-drawn sketches to life with animations.
  - Category: Vision AI.
  - Button: "Try it".
  
- **Audiobox**: 
  - Create an audio story with AI-generated voices and sounds.
  - Category: Language AI.
  - Button: "Try it".







import streamlit as st

# Sidebar for navigation
st.sidebar.title("MidJourney")
st.sidebar.button("🔍 Explore")
st.sidebar.button("🖌️ Create")
st.sidebar.button("🗂️ Organize")
st.sidebar.button("🎨 Personalize")

st.sidebar.title("💬 Chat")
st.sidebar.button("Prompt Craft")
st.sidebar.button("General Chaos")
st.sidebar.button("Daily Theme")
st.sidebar.button("Newbies")

st.sidebar.title("📅 Tasks")
st.sidebar.button("Access Tasks")

st.sidebar.title("🛠️ Help and Updates")
st.sidebar.button("Help")
st.sidebar.button("Updates")

st.sidebar.title("🌗 Light Mode")
st.sidebar.radio("Mode", ["Light", "Dark"], index=0)

# Main Section for creating and exploring images
st.title("MidJourney Creations")

# Search bar and filters
search = st.text_input("What will you imagine?")
st.button("🔍 Search")

# Image gallery (Example images and descriptions)
st.subheader("2 days ago")

# Example images with description and tags
cols = st.columns(2)

with cols[0]:
    st.image("path_to_image1.png", caption="Chalcedony Cameo of Mount Rushmore")
    st.markdown("**Tags**: chaos 10 | style raw | v 6.1 | stylize 400 | weird 300")
    st.button("Upscale (C)")

with cols[1]:
    st.image("path_to_image2.png", caption="Chalcedony Cameo of Mount Rushmore")
    st.markdown("**Tags**: chaos 10 | style raw | v 6.1 | stylize 400 | weird 300")
    st.button("Upscale (C)")

# User Profile and Settings
st.write("---")
st.write("👤 Aaron Wacker | Light Mode | Help | Updates")








# Luma Dream Machine Interface Design

## ✏️ Input Section
- **Prompt Input**: Type in text or add an image for generation.
- **Prompt Idea**: "An old lady laughing underwater, wearing a scuba diving suit, her expression denotes calm and happiness".
- **Prompt Guide**: Access a guide for crafting prompts.

## 🔮 Your Creations
- **Creation 1**: 
  - Status: **Dreaming** (In progress).
  - Description: "In the sleepy town of Pumpkin Hollow, a legendary patch of pumpkins holds a dark secret. As Halloween approaches, a group of friends discovers the pumpkins."
  - Time: Created less than a minute ago.

- **Creation 2**: 
  - Status: **Completed**.
  - Description: "A futuristic, high-tech cyberpunk woman, reminiscent of Ghost in the Shell's Major Motoko Kusanagi, stands confidently, her slender figure clad in a sleek bodysuit with glowing tech."
  - Buttons: 
    - **Extend**: Extend the creation.
    - **Download**: Download the creation.
    - **Like**: Show appreciation for the creation.
    - **Dislike**: Provide negative feedback.

- **Creation 3**: 
  - Status: **Completed**.
  - Description: "A mesmerizing chrome and silver sculpture stands upright on a sleek, minimalist background, its metallic surface adorned with intricate, swirling patterns."
  - Buttons: 
    - **Extend**: Extend the creation.
    - **Download**: Download the creation.
    - **Like**: Show appreciation for the creation.
    - **Dislike**: Provide negative feedback.

## 🔗 Navigation Links
- **Create**: Start new creations.
- **API**: Access the API.
- **Account**: Manage your account.








# Magnific AI Interface Design

## 🧙 Magic Spell (Editing Tools)
- **Mystic V2 (Beta)**: Apply a mystic effect to the image.
- **Relight**: Adjust the lighting in the image.
- **Style Transfer**: Transfer styles from other sources onto the image.
- **Magnific Upscaler**: Increase the resolution of the image.

## ✏️ Prompt Input
- Write custom prompts for generating or modifying the image.

## ⚙️ Settings
- **Resolution**: 
  - Options: 2K, 4K.
- **Aspect Ratio**: 
  - Options: 4:3 Classic.
- **Realism Toggle**: Enable or disable realism for the image.
- **Creative Detailing**: Adjust the level of creative detailing (Slider, default at 33%).
- **Engine**: 
  - Options: Automatic or manual selection of rendering engine.
- **Fixed Generation**: Choose whether the generation should stay fixed.
  
## 🖼️ Image Preview
- **Grid View / Favs Toggle**: Switch between grid view or favorites for image display.
- Image viewer with zoom and editing controls (cropping, saving, etc.).

## 🎨 Generate Button
- **Generate**: Start the image creation process.
- Final resolution details: **2398 x 1776**, and the associated cost.

## 🔗 Navigation Links
- **Tutorials**: Access tutorials for using Magnific AI.
- **FAQ**: Frequently asked questions and support.
- **Account**: Manage your account settings.
- **Upgrade**: Upgrade the subscription plan.










## 📝 Chat Sections
- **ChatGPT**: Access the main chat interface for conversations.
- **Scholar GPT**: Switch to a specialized model for academic or research purposes.
- **Screenshot To Code**: Convert screenshots into code or analyze code from screenshots.
- **Explore GPTs**: Discover different GPT-powered tools.

## 📅 Today’s Tasks
- **Data Report Assistance**: Get help with generating reports based on provided data.

## 🔍 Previous Tasks
- Access previous interactions and tasks such as:
  - Chord Prompter App Suggestion
  - Refactor App with Emojis
  - Alien Spaceship Pet Anthem
  - Vampire Clan Duet Song
  - Image Rendering Issues
  - And more...

## 💬 Chat Section
- **Message Input**: Type messages to interact with ChatGPT or upload files for assistance.
- **Response from ChatGPT**: Displays the conversation with ChatGPT, where the model provides detailed guidance on writing a report based on data.

## 📤 Share and Collaboration
- **Share Button**: Share the conversation or collaborate with a team.
- **Add Team Workspace**: Invite a team to collaborate on tasks.

## 🌐 Footer Information
- Information and tips about using ChatGPT effectively.
- Feedback options to rate the responses from ChatGPT.


import streamlit as st

# Sidebar for navigation and sections
st.sidebar.title("ChatGPT with Canvas")
st.sidebar.button("ChatGPT")
st.sidebar.button("Scholar GPT")
st.sidebar.button("Screenshot To Code")
st.sidebar.button("Explore GPTs")

# Task sections
st.sidebar.title("Today")
st.sidebar.button("Data Report Assistance")

# Previous tasks
st.sidebar.title("Previous 7 Days")
st.sidebar.button("Chord Prompter App Suggestion")
st.sidebar.button("Refactor App with Emojis")
st.sidebar.button("Alien Spaceship Pet Anthem")
st.sidebar.button("Vampire Clan Duet Song")
st.sidebar.button("Image Rendering Issues")
st.sidebar.button("Create React Native App")
st.sidebar.button("React Native App Debugging")
st.sidebar.button("React Native Setup Guide")
st.sidebar.button("Typescript Setup in VSCode")
st.sidebar.button("App Fix and Optimization")
st.sidebar.button("Brighten AI Tweet Fun")
st.sidebar.button("Requirements for Cloob Training")
st.sidebar.button("Gradio ImportError Fix")

# Main chat area
st.title("ChatGPT 4.0 with Canvas")

# Display Chat Interaction (Placeholder for ChatGPT's response)
st.write("**User Message**: Can you write a report based on my data?")
st.write("""
Of course! I'd be glad to help you write a report based on your data. If you could provide me with the dataset or describe its structure, I can tailor the report accordingly.

You can either:
1. Upload the data as a file (e.g., CSV, Excel, JSON).
2. Describe the key variables, metrics, and format of the data (including column names and what the data represents).

Additionally, it would help to know:
- The purpose of the report: Are we focusing on descriptive analysis, predictive modeling, summary statistics, etc.?
- The audience for the report: Is this for a technical team, management, or another audience type?
- Any specific questions or areas of insight you're interested in?

Feel free to share whatever information is most relevant, and I'll get started!
""")

# Share and collaboration section
st.button("Share")
st.button("Add Team Workspace")

# Footer information







# GPT-4o Omni Model Interface Design

## 📂 File Operations
- **Save/Download Options**:
  - Button to **Save** progress.
  - Button to **Download** files.
  - Button to **Delete All** files in various formats (audio, images, MP4 videos, MP3 videos).
- **File Selection**:
  - Dropdown to choose a file for operations (e.g., `1008_0539_Show_papers_relevant_to_solving_creating_assets`).
  - Select **Output File Type** (e.g., txt, json).

## 🔊 Recording and Session Management
- **Clear Session**: Button to clear the current session.
- **Record Audio**: Click to record audio input for processing.
  
## 🧠 GPT-4o Omni Model: Text, Audio, Image, & Video
- **Semantic**: Handle text-based or knowledge-related tasks.
- **Soul & Episodic**: Manage memories or ongoing context for the user.
- **Essence**: Core processing related to specific modalities.
  
## 🔍 Scholarly Article Search
- Search ArXiv articles for reference or inspiration.

## 🗂️ Model Input and Configuration
- **Select an Option**:
  - Dropdown to choose the media type: Text, Audio, Image, or Video.
  - Input field to enter text or other data.
  
- **Image/Video Columns**:
  - Sliders to select the number of image or video columns to display (range: 1 to 15).
  - Feedback indicating the number of images/videos found in the current directory.

## 🔮 Multimodal Chatbot
- **GPT-4o Multimodal ChatBot**: A chatbot to interact with, asking questions or providing guidance on the files and media being processed.

models

None public yet

datasets

None public yet