docs: Revamp README

README.md

@@ -15,59 +15,19 @@
   <a href="https://presenton.ai/"><img src="https://img.shields.io/badge/Platform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey?style=flat" alt="Platform" /></a>
 </p>
 
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-<br>
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-
 # Open-Source AI Presentation Generator and API (Gamma, Beautiful AI, Decktopus Alternative)
 
-
 ### ✨ Why Presenton
 
 No SaaS lock-in · No forced subscriptions · Full control over models and data
 
 What makes Presenton different?
-- Use your **existing PPTX files as templates**
+
 - Fully **self-hosted**
 - Works with OpenAI, Gemini, Anthropic, Ollama, or custom models
 - API deployable
 - Fully open-source (Apache 2.0)
+- Use your **existing PPTX files as templates** _(coming soon)_
 
 <p align="center">
   <img src="./readme_assets/images/banner_bg.gif" alt="Presenton" />
@@ -75,23 +35,56 @@ What makes Presenton different?
 
 #
 
-### 🎛 UI Features
+### 🎛 Features
+
 <p align="center">
-  <img src="./readme_assets/images/UI-elements/features.png" alt="Presenton" />
+  <img src="./readme_assets/images/features-1.png" alt="Presenton Features" />
 </p>
 
 #
 
-### 📌 Download Presenton
+### 💻 Presenton Desktop
 
 Create AI-powered presentations using your own model provider (BYOK) or run everything locally on your own machine for full control and data privacy.
+
 <p align="center">
   <a href="https://presenton.ai/download">
-    <img src="./readme_assets/images/banner-4.jpg" alt="Cloud deployment" />
+    <img src="./readme_assets/images/banner.png" alt="Cloud deployment" />
   </a>
 </p>
 
-**Available Platforms:** [macOS](https://presenton.ai/download), [Linux](https://presenton.ai/download), [Windows](https://presenton.ai/download)
+**Available Platforms**
+
+<table>
+<tr>
+<th align="left">Platform</th>
+<th align="left">Architecture</th>
+<th align="left">Package</th>
+<th align="left">Download</th>
+</tr>
+
+<tr>
+<td><b>macOS</b></td>
+<td>Apple Silicon / Intel</td>
+<td><code>.dmg</code></td>
+<td><a href="https://presenton.ai/download">Download ↗</a></td>
+</tr>
+
+<tr>
+<td><b>Windows</b></td>
+<td>x64</td>
+<td><code>.exe</code></td>
+<td><a href="https://presenton.ai/download">Download ↗</a></td>
+</tr>
+
+<tr>
+<td><b>Linux</b></td>
+<td>x64</td>
+<td> <code>.deb</code></td>
+<td><a href="https://presenton.ai/download">Download ↗</a></td>
+</tr>
+
+</table>
 
 Presenton gives you complete control over your AI presentation workflow. Choose your models, customize your experience, and keep your data private.
 
@@ -115,6 +108,18 @@ Presenton gives you complete control over your AI presentation workflow. Choose
 
 #
 
+### ☁️ Presenton Cloud
+
+Run Presenton directly in your browser — no installation, no setup required. Start creating presentations instantly from anywhere.
+
+<p align="center">
+  <a href="https://presenton.ai">
+    <img src="./readme_assets/images/cloud-banner.png" alt="Presenton Cloud" />
+  </a>
+</p>
+
+#
+
 ### ⚡ Running Presenton
 
   <p>
@@ -124,7 +129,7 @@ Presenton gives you complete control over your AI presentation workflow. Choose
     experience (ideal for development or offline use).
   </p>
 
-  **Option 1: Electron (Desktop App)**
+**Option 1: Electron (Desktop App)**
 
    <p>
     Run Presenton as a native desktop application. LLM and image provider
@@ -139,53 +144,53 @@ Presenton gives you complete control over your AI presentation workflow. Choose
     <code>electron/servers/fastapi</code>).
   </p>
 
-  - Setup (First Time)
-    <pre><code class="language-bash">cd electron
-    npm run setup:env</code></pre>
-    This installs Node dependencies, runs <code>uv sync</code> in the FastAPI
-    server, and installs Next.js dependencies.
+- Setup (First Time)
+  <pre><code class="language-bash">cd electron
+  npm run setup:env</code></pre>
 
-  - Run in Development
-    <pre><code class="language-bash">npm run dev</code></pre>
-    <p>
-    This compiles TypeScript and starts Electron. The backend and UI run locally
-    inside the desktop window.
-    </p>
+  This installs Node dependencies, runs <code>uv sync</code> in the FastAPI
+  server, and installs Next.js dependencies.
 
-  - Build Distributable (Optional)
-    To create installers for Windows, macOS, or Linux:
-    <pre><code class="language-bash">npm run build:all
-    npm run dist</code></pre>
-    <p>
-    Output files are written to <code>electron/dist</code>
-    (or as configured in your <code>electron-builder</code> settings).
-    </p>
+- Run in Development
+  <pre><code class="language-bash">npm run dev</code></pre>
+  <p>
+  This compiles TypeScript and starts Electron. The backend and UI run locally
+  inside the desktop window.
+  </p>
 
-  **Option 2: Docker**
+- Build Distributable (Optional)
+  To create installers for Windows, macOS, or Linux:
+  <pre><code class="language-bash">npm run build:all
+  npm run dist</code></pre>
+  <p>
+  Output files are written to <code>electron/dist</code>
+  (or as configured in your <code>electron-builder</code> settings).
+  </p>
 
-  - Start Presenton
-    Linux/MacOS (Bash/Zsh Shell):
-    <pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
-    
-    Windows (PowerShell):
-    <pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -v "${PWD}\app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
+**Option 2: Docker**
 
-  - Open Presenton
-    <p>
-    Open <a href="http://localhost:5000">http://localhost:5000</a> in the browser
-    of your choice to use Presenton.
-    </p>
-    
-    <blockquote>
-    <p>
-      <strong>Note:</strong> You can replace <code>5000</code> with any other port
-      number of your choice to run Presenton on a different port number.
-    </p>
-    </blockquote>
+- Start Presenton
+  Linux/MacOS (Bash/Zsh Shell):
+  <pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
+
+  Windows (PowerShell):
+  <pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -v "${PWD}\app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
+
+- Open Presenton
+  <p>
+  Open <a href="http://localhost:5000">http://localhost:5000</a> in the browser
+  of your choice to use Presenton.
+  </p>
+
+  <blockquote>
+  <p>
+    <strong>Note:</strong> You can replace <code>5000</code> with any other port
+    number of your choice to run Presenton on a different port number.
+  </p>
+  </blockquote>
 
 #
 
-
 ### ⚙️ Deployment Configurations
 
 These settings apply to both Docker and the Electron app's backend. You may want to directly provide your API KEYS as environment variables and keep them hidden. You can set these environment variables to achieve it.
@@ -230,6 +235,7 @@ You can disable anonymous telemetry using the following environment variable:
 <br>
 
 **Docker Run Examples by Provider**
+
 - Using OpenAI
     <pre><code class="language-bash">docker run -it --name presenton -p 5000:80 -e LLM="openai" -e OPENAI_API_KEY="******" -e IMAGE_PROVIDER="dall-e-3" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
 
@@ -246,18 +252,14 @@ You can disable anonymous telemetry using the following environment variable:
     <pre><code class="language-bash">docker run -it -p 5000:80 -e CAN_CHANGE_KEYS="false"  -e LLM="custom" -e CUSTOM_LLM_URL="http://*****" -e CUSTOM_LLM_API_KEY="*****" -e CUSTOM_MODEL="llama3.2:3b" -e IMAGE_PROVIDER="pexels" -e  PEXELS_API_KEY="********" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
 
 - Running Presenton with GPU Support
-    
-    To use GPU acceleration with Ollama models, you need to install and configure the NVIDIA Container Toolkit. This allows Docker containers to access your NVIDIA GPU.
-    
-    Once the NVIDIA Container Toolkit is installed and configured, you can run Presenton with GPU support by adding the `--gpus=all` flag:
+  To use GPU acceleration with Ollama models, you need to install and configure the NVIDIA Container Toolkit. This allows Docker containers to access your NVIDIA GPU.
+  Once the NVIDIA Container Toolkit is installed and configured, you can run Presenton with GPU support by adding the `--gpus=all` flag:
     <pre><code class="language-bash">docker run -it --name presenton --gpus=all -p 5000:80 -e LLM="ollama" -e OLLAMA_MODEL="llama3.2:3b" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="*******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest</code></pre>
 
 #
 
 ### ✨ Generate Presentation via API
 
-
-
 **Generate Presentation**
 
 <p>
@@ -266,8 +268,6 @@ You can disable anonymous telemetry using the following environment variable:
 <strong>Content-Type:</strong> <code>application/json</code>
 </p>
 
-
-
 **Request Body**
 
 <table>
@@ -388,8 +388,6 @@ Options: <code>pptx</code>, <code>pdf</code>
 </tbody>
 </table>
 
-
-
 **Response**
 
 <pre><code class="language-json">{
@@ -398,8 +396,6 @@ Options: <code>pptx</code>, <code>pdf</code>
   "edit_path": "string"
 }</code></pre>
 
-
-
 **Example Request**
 
 <pre><code class="language-bash">curl -X POST http://localhost:5000/api/v1/ppt/presentation/generate \
@@ -412,8 +408,6 @@ Options: <code>pptx</code>, <code>pdf</code>
     "export_as": "pptx"
   }'</code></pre>
 
-
-
 **Example Response**
 
 <pre><code class="language-json">{
@@ -457,6 +451,16 @@ Prepend your server’s root URL to <code>path</code> and
 
 ### 🚀 Roadmap
 
+- [x] Support for custom HTML templates by developers
+- [x] Support for accessing custom templates over API
+- [x] Implement MCP server
+- [ ] Ability for users to change system prompt
+- [x] Support external SQL database
+
+#
+
+### 🚀 Roadmap
+
 Track the public roadmap on GitHub Projects: [https://github.com/orgs/presenton/projects/2](https://github.com/orgs/presenton/projects/2)
 
 #