Update README.md: Removed Ollama models info
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README.md
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README.md
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@ -17,12 +17,12 @@
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## ✨ More Freedom with AI Presentations
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* ✅ **Bring Your Own Key** — Only pay for what you use. OpenAI, Gemini (More coming soon...)
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* ✅ **API Presentation Generation** — Host as API to generate presentations over requests
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* ✅ **Ollama Support** — Run open-source models locally with Ollama integration
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* ✅ **Runs Locally** — All code runs on your device
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* ✅ **Privacy-First** — No tracking, no data stored by us
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* ✅ **Flexible** — Generate presentations from prompts or outlines
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* ✅ **Export Ready** — Save as PowerPoint (PPTX) and PDF
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* ✅ **API Presentation Generation** — Host as API to generate presentations over requests
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* ✅ **Fully Open-Source** — Apache 2.0 licensed
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## Running Presenton Docker
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@ -77,58 +77,7 @@ docker run -it --name presenton --gpus=all -p 5000:80 -e LLM="ollama" -e OLLAMA_
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> **Note:** GPU acceleration significantly improves the performance of Ollama models, especially for larger models. Make sure you have sufficient GPU memory for your chosen model.
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#### Supported Ollama Models:
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##### Llama Models:
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| Model | Size | Graph Support |
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|-------|------|---------------|
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| `llama3:8b` | 4.7GB | ❌ No |
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| `llama3:70b` | 40GB | ✅ Yes |
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| `llama3.1:8b` | 4.9GB | ❌ No |
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| `llama3.1:70b` | 43GB | ✅ Yes |
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| `llama3.1:405b` | 243GB | ✅ Yes |
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| `llama3.2:1b` | 1.3GB | ❌ No |
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| `llama3.2:3b` | 2GB | ❌ No |
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| `llama3.3:70b` | 43GB | ✅ Yes |
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| `llama4:16x17b` | 67GB | ✅ Yes |
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| `llama4:128x17b` | 245GB | ✅ Yes |
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##### Gemma Models:
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| Model | Size | Graph Support |
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|-------|------|---------------|
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| `gemma3:1b` | 815MB | ❌ No |
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| `gemma3:4b` | 3.3GB | ❌ No |
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| `gemma3:12b` | 8.1GB | ❌ No |
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| `gemma3:27b` | 17GB | ✅ Yes |
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##### DeepSeek Models:
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| Model | Size | Graph Support |
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|-------|------|---------------|
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| `deepseek-r1:1.5b` | 1.1GB | ❌ No |
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| `deepseek-r1:7b` | 4.7GB | ❌ No |
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| `deepseek-r1:8b` | 5.2GB | ❌ No |
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| `deepseek-r1:14b` | 9GB | ❌ No |
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| `deepseek-r1:32b` | 20GB | ✅ Yes |
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| `deepseek-r1:70b` | 43GB | ✅ Yes |
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| `deepseek-r1:671b` | 404GB | ✅ Yes |
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##### Qwen Models:
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| Model | Size | Graph Support |
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|-------|------|---------------|
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| `qwen3:0.6b` | 523MB | ❌ No |
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| `qwen3:1.7b` | 1.4GB | ❌ No |
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| `qwen3:4b` | 2.6GB | ❌ No |
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| `qwen3:8b` | 5.2GB | ❌ No |
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| `qwen3:14b` | 9.3GB | ❌ No |
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| `qwen3:30b` | 19GB | ✅ Yes |
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| `qwen3:32b` | 20GB | ✅ Yes |
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| `qwen3:235b` | 142GB | ✅ Yes |
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> **Note:** Models with graph support can generate charts and diagrams in presentations. Larger models provide better quality but require more system resources.
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## Using Presenton API
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## Generate Presentation with API
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### Generate Presentation
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@ -180,6 +129,8 @@ curl -X POST http://localhost:5000/api/v1/ppt/generate/presentation \
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}
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```
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> **Note:** Make sure to prepend your server's root URL to the path and edit_path fields in the response to construct valid links.
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## Features
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### 1. Add prompt, select number of slides and language
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