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reacted to ginipick's post with ๐Ÿ”ฅ about 11 hours ago
# ๐ŸŒŸ 3D Model to Video: Easy GLB Conversion Tool ๐ŸŒŸ demo link: https://huggingface.co/spaces/ginigen/3D-VIDEO Hello there! Would you like to transform your 3D models into stunning animations? This space can help you! โœจ ## ๐Ÿ” What Can It Do? This tool converts your uploaded GLB model into: 1. ๐ŸŽฎ A transformed GLB file 2. ๐ŸŽฌ An animated GIF preview 3. ๐Ÿ“‹ A metadata JSON file ## โœ… Key Features * ๐Ÿ–ฅ๏ธ Works in headless server environments (EGL + pyglet-headless โ†’ pyrender fallback) * ๐Ÿ” Objects in GIFs appear 3x larger (global scale ร—3) * ๐ŸŽจ Clean interface with pastel background ## ๐ŸŽฎ Animation Types * ๐Ÿ”„ Rotate - Object rotates around the Y-axis * โฌ†๏ธ Float - Object moves smoothly up and down * ๐Ÿ’ฅ Explode - Object moves sideways * ๐Ÿงฉ Assemble - Object returns to its original position * ๐Ÿ’“ Pulse - Object changes in size * ๐Ÿ”„ Swing - Object swings around the Z-axis ## ๐Ÿ› ๏ธ How to Use 1. Upload your GLB model ๐Ÿ“ค 2. Select your desired animation type ๐ŸŽฌ 3. Adjust the duration and FPS โฑ๏ธ 4. Click the "Generate Animation" button โ–ถ๏ธ 5. Download your results ๐Ÿ“ฅ ## ๐Ÿ’ป Technical Details * Rendering system using trimesh and pyrender * Automatic fallback method for rendering failures to ensure stability * GIF generation supporting up to 60 frames Breathe life into your static 3D models with this tool! ๐Ÿš€ If you have any questions or feedback, please let us know. Happy 3D modeling! โœจ
reacted to openfree's post with ๐Ÿ”ฅ about 11 hours ago
โœจ DreamO Video: From Customized Images to Videos โœจ Hello, AI creators! Today I'm introducing a truly special project. DreamO Video is an integrated framework that generates customized images based on reference images and transforms them into videos with natural movement. ๐ŸŽฌโœจ https://huggingface.co/spaces/openfree/DreamO-video ๐Ÿ” Key Features Image Reference (IP): Maintain object appearance while applying to new backgrounds and situations ID Preservation: Retain facial features across various environments Style Transfer: Apply unique styles from reference images to other content ๐ŸŽž๏ธ Video Generation: Create natural 2-second videos from generated images ๐Ÿ’ก How to Use Upload Reference Images: One or two images (people, objects, landscapes, etc.) Select Task Type: Choose between IP (Image Preservation), ID (Face Feature Retention), or Style Enter Prompt: Describe your desired result (e.g., "a woman playing guitar on a cloud") Click Generate Image: โœจ Create customized AI images! Generate Video: Click the ๐ŸŽฌ button on the generated image to create a 2-second natural video ๐Ÿš€ Usage Examples ๐Ÿ‘— Virtual Fitting: Combine clothes and people to visualize outfit appearance ๐Ÿ–ผ๏ธ Artwork Transformation: Create new images in your favorite styles ๐Ÿ“ธ Portrait Modification: Create appearances in various environments and situations ๐ŸŽญ Character Design: Develop new characters based on reference images ๐ŸŽฅ Short Animations: Transform static images into vivid videos โš ๏ธ Demo Version Notice In the current demo version, video generation is restricted to 2 seconds only. The full version supports generation of up to 60 seconds. ๐Ÿ“Š Latest Updates 2025.05.13: DreamO Video Integration version released! 2025.05.11: Improved oversaturation and unnatural face issues Create amazing content with DreamO Video! If you have any questions or feedback, please don't hesitate to contact us. We look forward to seeing your creations! ๐Ÿ’ซ๐ŸŽจ #AI #ImageGeneration #VideoGeneration #DreamO #HuggingFace
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reacted to ginipick's post with ๐Ÿ”ฅ about 11 hours ago
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4285
# ๐ŸŒŸ 3D Model to Video: Easy GLB Conversion Tool ๐ŸŒŸ

demo link: ginigen/3D-VIDEO

Hello there! Would you like to transform your 3D models into stunning animations? This space can help you! โœจ

## ๐Ÿ” What Can It Do?

This tool converts your uploaded GLB model into:
1. ๐ŸŽฎ A transformed GLB file
2. ๐ŸŽฌ An animated GIF preview
3. ๐Ÿ“‹ A metadata JSON file

## โœ… Key Features

* ๐Ÿ–ฅ๏ธ Works in headless server environments (EGL + pyglet-headless โ†’ pyrender fallback)
* ๐Ÿ” Objects in GIFs appear 3x larger (global scale ร—3)
* ๐ŸŽจ Clean interface with pastel background

## ๐ŸŽฎ Animation Types

* ๐Ÿ”„ Rotate - Object rotates around the Y-axis
* โฌ†๏ธ Float - Object moves smoothly up and down
* ๐Ÿ’ฅ Explode - Object moves sideways
* ๐Ÿงฉ Assemble - Object returns to its original position
* ๐Ÿ’“ Pulse - Object changes in size
* ๐Ÿ”„ Swing - Object swings around the Z-axis

## ๐Ÿ› ๏ธ How to Use

1. Upload your GLB model ๐Ÿ“ค
2. Select your desired animation type ๐ŸŽฌ
3. Adjust the duration and FPS โฑ๏ธ
4. Click the "Generate Animation" button โ–ถ๏ธ
5. Download your results ๐Ÿ“ฅ

## ๐Ÿ’ป Technical Details

* Rendering system using trimesh and pyrender
* Automatic fallback method for rendering failures to ensure stability
* GIF generation supporting up to 60 frames

Breathe life into your static 3D models with this tool! ๐Ÿš€ If you have any questions or feedback, please let us know. Happy 3D modeling! โœจ
reacted to openfree's post with ๐Ÿ”ฅ about 11 hours ago
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1579
โœจ DreamO Video: From Customized Images to Videos โœจ
Hello, AI creators! Today I'm introducing a truly special project. DreamO Video is an integrated framework that generates customized images based on reference images and transforms them into videos with natural movement. ๐ŸŽฌโœจ

openfree/DreamO-video

๐Ÿ” Key Features

Image Reference (IP): Maintain object appearance while applying to new backgrounds and situations
ID Preservation: Retain facial features across various environments
Style Transfer: Apply unique styles from reference images to other content
๐ŸŽž๏ธ Video Generation: Create natural 2-second videos from generated images

๐Ÿ’ก How to Use

Upload Reference Images: One or two images (people, objects, landscapes, etc.)
Select Task Type: Choose between IP (Image Preservation), ID (Face Feature Retention), or Style
Enter Prompt: Describe your desired result (e.g., "a woman playing guitar on a cloud")
Click Generate Image: โœจ Create customized AI images!
Generate Video: Click the ๐ŸŽฌ button on the generated image to create a 2-second natural video

๐Ÿš€ Usage Examples

๐Ÿ‘— Virtual Fitting: Combine clothes and people to visualize outfit appearance
๐Ÿ–ผ๏ธ Artwork Transformation: Create new images in your favorite styles
๐Ÿ“ธ Portrait Modification: Create appearances in various environments and situations
๐ŸŽญ Character Design: Develop new characters based on reference images
๐ŸŽฅ Short Animations: Transform static images into vivid videos

โš ๏ธ Demo Version Notice
In the current demo version, video generation is restricted to 2 seconds only. The full version supports generation of up to 60 seconds.
๐Ÿ“Š Latest Updates

2025.05.13: DreamO Video Integration version released!
2025.05.11: Improved oversaturation and unnatural face issues

Create amazing content with DreamO Video! If you have any questions or feedback, please don't hesitate to contact us. We look forward to seeing your creations! ๐Ÿ’ซ๐ŸŽจ
#AI #ImageGeneration #VideoGeneration #DreamO #HuggingFace
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reacted to ginipick's post with ๐Ÿ‘€๐Ÿš€โค๏ธ๐Ÿ”ฅ 7 days ago
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5058
๐Ÿ”ฎ Mistral Perflexity AI - Local LLM Space with Web Search Capabilities ๐ŸŒ
Hello AI enthusiasts! Today I'm excited to introduce my special Hugging Face space! ๐Ÿš€

ginigen/Mistral-Perflexity

โœจ Key Features

Powerful Model: Using Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503, optimized through 6-bit quantization to run smoothly on local 4090 GPUs! ๐Ÿ’ช
Web Search Integration: Leveraging the Brave Search API to provide real-time web search results for user queries! ๐Ÿ”
Customizable Responses: Shape AI personality and response format through system messages โš™๏ธ
Multilingual Support: Perfect handling of both English and Korean! ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ฐ๐Ÿ‡ท

๐Ÿ› ๏ธ Technical Highlights

GGUF Format: Optimized quantized model with excellent memory efficiency
Flash Attention: Applied optimization technology for faster inference speeds
8K Context Window: Capable of handling lengthy conversations and complex queries
Streaming Responses: Watch text being generated in real-time

๐Ÿ’ก Use Cases

Complex Q&A requiring real-time information
Programming assistance and code generation
Multilingual content creation and translation
Summarization and explanation of learning materials

๐Ÿ”ง Customization
Adjust various parameters like Temperature, Top-p, Top-k, and repetition penalty to control response creativity and accuracy. Lower temperature (0.1-0.5) produces more deterministic responses, while higher values (0.7-1.0) generate more creative outputs!

๐ŸŒŸ Try It Yourself!
This space is available for anyone to use for free. Experience the power of a robust local LLM combined with web search capabilities! Your feedback is always welcome! ๐Ÿ˜Š
reacted to openfree's post with ๐Ÿ‘€๐Ÿ‘โค๏ธ๐Ÿš€ 7 days ago
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5993
๐Ÿ”ฅ Creating a qwen3-30b-a3b / qwen3-235b-a22b Chatbot with Deep Research Capabilities ๐Ÿš€

openfree/qwen3-30b-a3b-research
openfree/qwen3-235b-a22b-research

Hello AI researchers! ๐Ÿ‘‹ Today I'm introducing a powerful chatbot implementation with real-time web search capabilities.
โœจ Key Features

๐Ÿง  Chatbot based on qwen3-30b-a3b and llama4-maverick models
๐Ÿ” LLM-based optimal keyword extraction
๐ŸŒ Real-time web search using SerpHouse API
๐Ÿ’ฌ Streaming responses for natural conversation experience

๐Ÿ› ๏ธ Technology Stack

Gradio: Implementation of intuitive web interface
Fireworks.ai API: Access to high-performance LLM models
SerpHouse API: Collection of real-time search results

๐ŸŒŸ Application Areas

Question answering systems requiring up-to-date information
Providing current information beyond training data
Delivering reliable information with accurate sources

Add real-time search capabilities to your AI applications with this project! ๐ŸŽ‰ Leave your questions or suggestions in the comments! Let's improve it together~ ๐Ÿ’ช
#LLM #ArtificialIntelligence #WebSearch #Gradio #DeepResearch #OpenSource
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5993
๐Ÿ”ฅ Creating a qwen3-30b-a3b / qwen3-235b-a22b Chatbot with Deep Research Capabilities ๐Ÿš€

openfree/qwen3-30b-a3b-research
openfree/qwen3-235b-a22b-research

Hello AI researchers! ๐Ÿ‘‹ Today I'm introducing a powerful chatbot implementation with real-time web search capabilities.
โœจ Key Features

๐Ÿง  Chatbot based on qwen3-30b-a3b and llama4-maverick models
๐Ÿ” LLM-based optimal keyword extraction
๐ŸŒ Real-time web search using SerpHouse API
๐Ÿ’ฌ Streaming responses for natural conversation experience

๐Ÿ› ๏ธ Technology Stack

Gradio: Implementation of intuitive web interface
Fireworks.ai API: Access to high-performance LLM models
SerpHouse API: Collection of real-time search results

๐ŸŒŸ Application Areas

Question answering systems requiring up-to-date information
Providing current information beyond training data
Delivering reliable information with accurate sources

Add real-time search capabilities to your AI applications with this project! ๐ŸŽ‰ Leave your questions or suggestions in the comments! Let's improve it together~ ๐Ÿ’ช
#LLM #ArtificialIntelligence #WebSearch #Gradio #DeepResearch #OpenSource
reacted to ginipick's post with ๐Ÿ”ฅ 12 days ago
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3159
๐ŸŽจ Renoir Studio: Impressionist Masterpieces Reborn Through AI โœจ

๐ŸŒŸ Experience Renoir's Magical Brushstrokes with AI!

๐Ÿ”— Try it now: ginigen/flux-lora-renoir
๐Ÿ”— Model page: openfree/pierre-auguste-renoir
๐Ÿ”— Collection: openfree/painting-art-ai-681453484ec15ef5978bbeb1

Hello, AI art enthusiasts! ๐Ÿ’–
Today I'm introducing a special model - Pierre-Auguste Renoir Studio. Create your own beautiful artwork in the style of the 19th century French Impressionist master! ๐Ÿ–ผ๏ธ
โœจ Why Renoir's Style?
Renoir is famous for his luminous colors and soft brushstrokes. His works feature:

๐ŸŒž Warm sunshine and dancing light
๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ The beauty of everyday life and joyful moments
๐ŸŒธ Vibrant nature and portraits of beautiful women
๐ŸŽญ Lively Parisian social gatherings and outdoor scenes

๐Ÿ”ฌ Technical Features
This model was developed as a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. The LoRA fine-tuning process leveraged exceptional quality open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements! ๐Ÿง ๐Ÿ’ซ
๐Ÿš€ How to Use

Describe your desired scene in the prompt box
Add the "renoir" keyword at the end (this is the trigger keyword!)
Click the 'Generate' button
Enjoy your ideas reborn in Renoir's style!

๐Ÿ’ก Recommended Prompt Examples

"Elegant ladies enjoying a picnic in a sunlit garden, wearing pastel dresses and hats renoir"
"People boating by a riverbank, light reflecting on water, warmth of summer renoir"
"Paris cafe terrace, people chatting over coffee, evening sunset renoir"

๐ŸŒˆ Now It's Your Turn!
#AI#Renoir #ArtificialIntelligence#HuggingFace #FLUX #LoRA
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2678
๐Ÿš€ Introducing Phi-4-reasoning-plus: Powerful 14B Reasoning Model by Microsoft!

VIDraft/phi-4-reasoning-plus

๐ŸŒŸ Key Highlights
Compact Size (14B parameters): Efficient for use in environments with limited computing resources, yet powerful in performance.

Extended Context (32k tokens): Capable of handling lengthy and complex input sequences.

Enhanced Reasoning: Excels at multi-step reasoning, particularly in mathematics, science, and coding challenges.

Chain-of-Thought Methodology: Provides a detailed reasoning process, followed by concise, accurate summaries.

๐Ÿ… Benchmark Achievements
Despite its smaller size, Phi-4-reasoning-plus has delivered impressive results, often surpassing significantly larger models:

Mathematical Reasoning (AIME 2025): Achieved an accuracy of 78%, significantly outperforming larger models like DeepSeek-R1 Distilled (51.5%) and Claude-3.7 Sonnet (58.7%).

Olympiad-level Math (OmniMath): Strong performance with an accuracy of 81.9%, surpassing DeepSeek-R1 Distilled's 63.4%.

Graduate-Level Science Questions (GPQA-Diamond): Delivered competitive performance at 68.9%, close to larger models and demonstrating its capabilities in advanced scientific reasoning.

Coding Challenges (LiveCodeBench): Scored 53.1%, reflecting strong performance among smaller models, though slightly behind specialized coding-focused models.

๐Ÿ›ก๏ธ Safety and Robustness
Comprehensive safety evaluation completed through Microsoft's independent AI Red Team assessments.

High standards of alignment and responsible AI compliance validated through extensive adversarial testing.

๐ŸŽฏ Recommended Applications
Phi-4-reasoning-plus is especially suitable for:
Systems with limited computational resources.
Latency-sensitive applications requiring quick yet accurate responses.

๐Ÿ“œ License
Freely available under the MIT License for broad accessibility and flexible integration into your projects.
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4635
# โœจ Dream of IKEA: The Future of AI Interior Design โœจ

Hello, AI interior design enthusiasts! ๐Ÿ  Today I'm thrilled to introduce you to **"Dream of IKEA"** - an amazing project that will completely transform your living spaces!

## ๐ŸŒŸ What Can It Do?

**Dream of IKEA** is a magical tool that uses artificial intelligence to transform your ordinary spaces into the interior design of your dreams! ๐Ÿช„

- ๐Ÿ“ธ Simply upload a photo of your room
- ๐Ÿ’ญ Describe your desired style or concept
- ๐ŸŽจ The AI will redesign your space with stunning results!

## ๐Ÿ† Key Features

- **Diverse Style Selection** - Over 20 design styles including Minimalist, Bohemian, Japanese, Scandinavian, and more
- **User-Friendly Interface** - Beautiful, intuitive UI that anyone can use
- **High-Quality Image Generation** - Amazing quality powered by ControlNet and Stable Diffusion
- **Customizable Prompts** - Create completely personalized designs with your own prompts

## ๐Ÿ› ๏ธ Technical Highlights

This project utilizes cutting-edge AI technology:
- **ControlNet** - Maintains the structure of your original image while transforming the style
- **NormalBae** - Creates natural transformations through 3D structure recognition
- **Stable Diffusion** - The core of high-quality image generation

## ๐Ÿ’ก How to Use

1. **Upload a Photo** - Select the space you want to transform
2. **Choose a Style** - Select from Modern, Classic, or Global design styles
3. **Add a Description** - Like "A cozy bedroom with mountain view" to refine your results
4. **Click Generate** - Let the AI work its magic! ๐Ÿช„โœจ

## ๐Ÿ”ฎ Make Your Dream Space a Reality!

What space are you dreaming of? A minimalist Nordic living room? A glamorous Hollywood-style bedroom? Or perhaps a warm Bohemian kitchen? Now you can visualize all your interior design dreams with the help of AI!

## ๐Ÿš€ Start Now!
ginigen/interior-design
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3917
๐Ÿš€ AI Blog Generator with Streamlit: The Ultimate Guide!

ginigen/blogger

Hello there! Today I'm excited to introduce you to a powerful AI blog creation tool called Ginigen Blog. This amazing app automatically generates high-quality blog content using Streamlit and the latest ChatGPT 4.1 API. And the best part? It's completely free to use! ๐Ÿ‘ฉโ€๐Ÿ’ปโœจ

๐Ÿง  What Makes Ginigen Blog Special
Ginigen Blog is not just a simple text generator! It offers these exceptional features:

Multiple Blog Templates: SEO-optimized, tutorials, reviews, and more
Web Search Integration: Creates accurate content based on the latest information
File Upload Analysis: Automatically analyzes TXT, CSV, and PDF files to incorporate into blogs
Automatic Image Generation: Creates images that match your blog topic
Various Output Formats: Download in Markdown, HTML, and more
Latest GPT-4.1 Model: Cutting-edge AI technology for higher quality blog creation
Completely Free Service: Access high-quality content generation without any cost!

๐Ÿ’ช Who Is This Tool For?

๐Ÿ“ Content marketers and bloggers
๐Ÿข Corporate blog managers
๐Ÿ‘จโ€๐Ÿซ Educational content creators
๐Ÿ›๏ธ Product reviewers
โœ๏ธ Anyone looking to save time on writing!

๐Ÿ› ๏ธ How Does It Work?
Ginigen Blog generates high-quality blogs with just a simple topic input:

Enter a Blog Topic: Input your desired topic or keywords
Select Settings: Choose template, tone, word count, etc.
Utilize Web Search: Automatically incorporates the latest information into your blog
Upload Files: Upload reference files if needed
Auto-Generate: The AI analyzes all information to create a complete blog post
Download: Get your content immediately in Markdown or HTML format!

๐ŸŒŸ Use Cases
๐ŸŽญ "Summer festivals in 2025: A comprehensive guide to major regional events and hidden attractions"

๐Ÿ’Œ Closing Thoughts
Ginigen Blog is a powerful tool that significantly reduces content creation time while maintaining quality.
reacted to ginipick's post with โค๏ธ 21 days ago
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3849
๐Ÿค– AI Academic Paper Generator: Your Research Partner ๐ŸŽ“

Hello, researchers! Today I'm introducing my AI Academic Paper Generation System. This application is built with Streamlit and provides AI agents to assist with every stage of the academic research process.

ginipick/AgentX-Papers

โœจ Key Features

๐Ÿ“š Literature Research: AI reviews and summarizes relevant research
๐Ÿ“ Paper Outline: Generates a well-structured paper outline
โœ๏ธ Draft Writing: Creates a paper draft based on your research topic
๐Ÿ”— Citation Generation: Automatically generates academic citations
๐Ÿ–‹๏ธ Editing & Polishing: Checks grammar, context, and logical flow
๐ŸŒ Multilingual Support: Interface available in English and Korean

๐Ÿš€ How to Use

Enter basic information like research topic, paper title, and deadline
AI agents generate everything from literature review to final paper
Download your completed paper or consult with the chatbot for further assistance

๐Ÿ’ก What Makes It Special
This tool integrates all stages of academic research. Going beyond simple text generation, it mimics the actual research process to produce higher quality papers.
Visualization features and social media sharing options will be added in the next update! ๐Ÿ’ช

#AIResearch #AcademicWriting #ResearchAssistant #ArtificialIntelligence
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5259
๐Ÿ“š Papers Leaderboard - See the Latest AI Research Trends at a Glance! โœจ

Hello, AI research community! Today I'm introducing a new tool for exploring research papers. Papers Leaderboard is an open-source dashboard that makes it easy to find and filter the latest AI research papers.

Heartsync/Papers-Leaderboard

๐ŸŒŸ Key Features

Date Filtering: View only papers published within a specific timeframe (from May 5, 2023 to present)
Title Search: Quickly find papers containing your keywords of interest
Abstract Search: Explore paper content more deeply by searching for keywords within abstracts
Automatic Updates: The database is updated with the latest papers every hour

๐Ÿ’ก How to Use It?

Select a start date and end date
Enter keywords you want to find in titles or abstracts
Adjust the maximum number of search results for abstract searches
Results are displayed neatly in table format
reacted to aiqtech's post with ๐Ÿค— 21 days ago
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4408
๐ŸŒ AI Token Visualization Tool with Perfect Multilingual Support

Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text.

aiqtech/LLM-Token-Visual

โœจ Key Features

๐Ÿค– Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more
๐Ÿ”„ Custom Model Support: Use any tokenizer available on HuggingFace
๐Ÿ“Š Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more
๐ŸŒˆ Visual Token Representation: Each token assigned a unique color for visual distinction
๐Ÿ“‚ File Analysis Support: Upload and analyze large files

๐ŸŒ Powerful Multilingual Support
The most significant advantage of this tool is its perfect support for all languages:

๐Ÿ“ Asian languages including Korean, Chinese, and Japanese fully supported
๐Ÿ”ค RTL (right-to-left) languages like Arabic and Hebrew supported
๐Ÿˆบ Special characters and emoji tokenization visualization
๐Ÿงฉ Compare tokenization differences between languages
๐Ÿ’ฌ Mixed multilingual text processing analysis

๐Ÿš€ How It Works

Select your desired tokenizer model (predefined or HuggingFace model ID)
Input multilingual text or upload a file for analysis
Click 'Analyze Text' to see the tokenized results
Visually understand how the model breaks down various languages with color-coded tokens

๐Ÿ’ก Benefits of Multilingual Processing
Understanding multilingual text tokenization patterns helps you:

Optimize prompts that mix multiple languages
Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage)
Predict token usage for internationalization (i18n) applications
Optimize costs for multilingual AI services

๐Ÿ› ๏ธ Technology Stack

Backend: Flask (Python)
Frontend: HTML, CSS, JavaScript (jQuery)
Tokenizers: ๐Ÿค— Transformers library
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4559
๐Ÿ“Š Papers Impact: Instant AI Grading for Your Research Papers! ๐Ÿš€

๐ŸŒŸ Introduction
Hello, AI research community! ๐ŸŽ‰
Introducing Papers Impact - the revolutionary AI tool that automatically grades and predicts the potential impact of research papers! ๐Ÿง ๐Ÿ’ก

VIDraft/PapersImpact

โœจ Key Feature: Instant Paper Grading
The core functionality is brilliantly simple: Just enter an arXiv paper ID or URL, and our AI instantly analyzes and grades the paper's potential academic impact! No need to read through the entire paper yourself - our system automatically evaluates the title and abstract to generate a normalized impact score between 0 and 1.
๐ŸŽฏ How It Works

Enter Paper ID or URL: Simply paste an arXiv ID (e.g., "2504.11651") or full URL
Automatic Fetching: The system retrieves the paper's title and abstract
AI Analysis: Our advanced LLaMA-based transformer model analyzes the content
Instant Grading: Receive an impact score and corresponding letter grade in seconds!

๐Ÿ’ก Who Can Benefit?

๐Ÿ”ฌ Researchers: Pre-assess your paper before submission
๐Ÿ“š Students: Quickly gauge the quality of papers for literature reviews
๐Ÿซ Educators: Objectively evaluate student research
๐Ÿ“Š Research Managers: Prioritize which papers to read in depth
๐Ÿงฉ Journal Editors: Get an AI second opinion on submissions

๐Ÿš€ Technical Details
Our model is trained on an extensive dataset of published papers in CS.CV, CS.CL, and CS.AI fields, using NDCG optimization with Sigmoid activation and MSE loss. It's been rigorously cross-validated against historical citation data to ensure accurate impact predictions.
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