+
+
+
+ Quickstart · + Docs · + Youtube · + Discord +
+ +
+ 
+
+
+ 
+
+ 
+
+ 
+
+
+ 
+
+
| Platform | +Architecture | +Package | +Download | +
|---|---|---|---|
| macOS | +Apple Silicon / Intel | +.dmg |
+Download ↗ | +
| Windows | +x64 | +.exe |
+Download ↗ | +
| Linux | +x64 | + .deb |
+Download ↗ | +
+
+ 
+
+
+ You can run Presenton in two ways: + Docker for a one-command setup without installing a local dev + stack, or the Electron desktop app for a native app + experience (ideal for development or offline use). +
+ +**Option 1: Electron (Desktop App)** + ++ Run Presenton as a native desktop application. LLM and image provider + (API keys, etc.) can be configured in the app. The same environment variables + used for Docker apply when running the bundled backend. +
+ +
+ Prerequisites: Node.js (LTS), npm, Python 3.11, and
+ uv
+ (for the shared FastAPI backend in servers/fastapi).
+
+ 
+ cd electron
+ npm run setup:envuv sync in the FastAPI
+ server, and installs Next.js dependencies.
+
+- Run in Development
+ npm run dev+ This compiles TypeScript and starts Electron. The backend and UI run locally + inside the desktop window. +
+ +- Build Distributable (Optional) + To create installers for Windows, macOS, or Linux: +npm run build:all
+ npm run dist
+ Output files are written to electron/dist
+ (or as configured in your electron-builder settings).
+
+ For a public macOS DMG outside the Mac App Store, use
+ APPLE_KEYCHAIN_PROFILE="presenton-notary" npm run build:all:mac:signed
+ from electron/ after the one-time Developer ID and notarization
+ setup in docs/macos/dev/direct-distribution.md.
+
docker run -it --name presenton -p 5001:80 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -v "${PWD}\app_data:/app_data" ghcr.io/presenton/presenton:latest+ Open http://localhost:5001 in the browser + of your choice to use Presenton. +
+ +++ +# + +### ⚙️ Deployment Configurations + +The lists below match the environment variables forwarded in this repository’s **`docker-compose.yml`** (`production`, `production-gpu`, `development`, and `development-gpu`). Put values in a `.env` file next to the compose file, or export them before `docker compose up`. The Electron app backend can read the same names when run outside Docker. + +Other optional variables exist in code (for example advanced Mem0 paths, LiteParse runners, or `FAST_API_INTERNAL_URL` when Next.js and FastAPI are not same-origin); they are **not** wired in `docker-compose.yml`. Supported names are discoverable from `servers/fastapi/utils/get_env.py` and the Next.js server utilities under `servers/nextjs/`. + +#### LLM and API keys + +- **CAN_CHANGE_KEYS**=[true/false]: Set to **false** if you want to keep API keys hidden and make them unmodifiable. +- **LLM**=[openai/deepseek/google/vertex/azure/bedrock/openrouter/fireworks/together/cerebras/anthropic/litellm/lmstudio/ollama/custom/codex]: Select the text **LLM**. +- **OPENAI_API_KEY**: Required if **LLM** is **openai**. +- **OPENAI_MODEL**: Required if **LLM** is **openai** (default: `gpt-4.1`). +- **DEEPSEEK_API_KEY**: Required if **LLM** is **deepseek**. +- **DEEPSEEK_MODEL**: Required if **LLM** is **deepseek** (default: `deepseek-chat`). +- **DEEPSEEK_BASE_URL**: Optional if **LLM** is **deepseek** (default: `https://api.deepseek.com`). +- **GOOGLE_API_KEY**: Required if **LLM** is **google**. +- **GOOGLE_MODEL**: Required if **LLM** is **google** (default: `models/gemini-2.0-flash`). +- **VERTEX_MODEL**: Required if **LLM** is **vertex** (default: `gemini-2.5-flash`). +- **VERTEX_API_KEY**: Optional auth path for **LLM=vertex** (Vertex Express). +- **VERTEX_PROJECT** / **VERTEX_LOCATION**: Optional auth path for **LLM=vertex** when using GCP project credentials (do not combine with `VERTEX_API_KEY`). +- **VERTEX_BASE_URL**: Optional Vertex gateway/base URL override. +- **AZURE_OPENAI_MODEL**: Required if **LLM** is **azure** (deployment/model name). +- **AZURE_OPENAI_API_KEY**: Required if **LLM** is **azure**. +- **AZURE_OPENAI_API_VERSION**: Required if **LLM** is **azure** (for example `2024-10-21`). +- **AZURE_OPENAI_ENDPOINT** / **AZURE_OPENAI_BASE_URL**: At least one is required if **LLM** is **azure**. +- **AZURE_OPENAI_DEPLOYMENT**: Optional deployment override for **LLM** is **azure**. +- **BEDROCK_REGION**: Optional if **LLM** is **bedrock** (default: `us-east-1`). +- **BEDROCK_MODEL**: Required if **LLM** is **bedrock**. Use a standard model ID (example: `us.anthropic.claude-3-5-haiku-20241022-v1:0`) or a full **inference profile ARN** for newer models (example: Claude Sonnet 4.6). Passed through to Bedrock Converse as `modelId`. See **[Amazon Bedrock guide](docs/amazon-bedrock.md)**. +- **BEDROCK_API_KEY**: Optional if **LLM** is **bedrock** (API key auth; alternative to AWS keys). +- **BEDROCK_AWS_ACCESS_KEY_ID** / **BEDROCK_AWS_SECRET_ACCESS_KEY**: Required together if **LLM** is **bedrock** and `BEDROCK_API_KEY` is not set. +- **BEDROCK_AWS_SESSION_TOKEN**: Optional session token for **LLM** is **bedrock**. +- **BEDROCK_PROFILE_NAME**: Optional AWS profile name for **LLM** is **bedrock**. +- **OPENROUTER_API_KEY**: Required if **LLM** is **openrouter**. +- **OPENROUTER_MODEL**: Required if **LLM** is **openrouter** (default: `openai/gpt-4o`). +- **OPENROUTER_BASE_URL**: Optional if **LLM** is **openrouter** (default: `https://openrouter.ai/api/v1`). +- **FIREWORKS_API_KEY**: Required if **LLM** is **fireworks**. +- **FIREWORKS_MODEL**: Required if **LLM** is **fireworks** (example: `accounts/fireworks/models/llama-v3p1-8b-instruct`). +- **FIREWORKS_BASE_URL**: Optional if **LLM** is **fireworks** (default: `https://api.fireworks.ai/inference/v1`). +- **TOGETHER_API_KEY**: Required if **LLM** is **together**. +- **TOGETHER_MODEL**: Required if **LLM** is **together** (example: `openai/gpt-oss-20b`). +- **TOGETHER_BASE_URL**: Optional if **LLM** is **together** (default: `https://api.together.ai/v1`). +- **CEREBRAS_API_KEY**: Required if **LLM** is **cerebras**. +- **CEREBRAS_MODEL**: Required if **LLM** is **cerebras** (default: `llama-3.3-70b`). +- **CEREBRAS_BASE_URL**: Optional if **LLM** is **cerebras** (default: `https://api.cerebras.ai/v1`). +- **ANTHROPIC_API_KEY**: Required if **LLM** is **anthropic**. +- **ANTHROPIC_MODEL**: Required if **LLM** is **anthropic** (default: `claude-3-5-sonnet-20241022`). +- **CODEX_MODEL**: Required if **LLM** is **codex** (Codex OAuth flow; compose maps host port **1455** for the callback). +- **CUSTOM_LLM_URL**: OpenAI-compatible base URL if **LLM** is **custom**. +- **CUSTOM_LLM_API_KEY**: API key if **LLM** is **custom**. +- **CUSTOM_MODEL**: Model id if **LLM** is **custom**. +- **LITELLM_BASE_URL**: LiteLLM proxy or gateway base URL if **LLM** is **litellm**. +- **LITELLM_API_KEY**: Optional API key if **LLM** is **litellm**. +- **LITELLM_MODEL**: Required if **LLM** is **litellm** (default: `gpt-4.1`). +- **LMSTUDIO_BASE_URL**: Optional LM Studio base URL if **LLM** is **lmstudio** (default: `http://localhost:1234/v1`; `/v1` is auto-appended when omitted). +- **LMSTUDIO_API_KEY**: Optional API key if **LLM** is **lmstudio**. +- **LMSTUDIO_MODEL**: Required if **LLM** is **lmstudio** (example: `openai/gpt-oss-20b`). +- **DISABLE_THINKING**=[true/false]: If **true**, disables “thinking” for providers that support it (including DeepSeek). +- **WEB_GROUNDING**=[true/false]: If **true**, enables web search by default. +- **WEB_SEARCH_PROVIDER**=[auto/native/searxng/tavily/exa]: Selects the web search mode. `auto` uses native search for OpenAI, Google, and Anthropic, and otherwise leaves web search off unless you choose an external provider. + + +- **WEB_SEARCH_MAX_RESULTS**: Maximum external search results to add to model context (default `5`, maximum `10`). +- **SEARXNG_BASE_URL**: Base URL for a self-hosted SearXNG instance. +- **TAVILY_API_KEY**, **EXA_API_KEY**: Credentials for optional hosted search APIs. + +- **EXTENDED_REASONING**=[true/false]: Enables extended reasoning where supported by the configured stack. + +#### Ollama + +Use when **LLM** is **ollama**: + +- **OLLAMA_URL**: Base URL of the Ollama HTTP API (e.g. `http://host.docker.internal:11434` from Docker). +- **OLLAMA_MODEL**: Model name in Ollama (e.g. `llama3.2:3b`). +- **START_OLLAMA**=[true/false]: Container entrypoint (`start.js`): optional install + `ollama serve`. Default **false** (`development` / `production` compose). + +#### Presentation memory (Mem0 OSS) + +Mem0 uses local Qdrant + SQLite (OSS); memory is scoped per presentation. + +By default the Docker runtime now points Mem0 at a local Ollama-compatible LLM endpoint, so it no longer needs an OpenAI key just to initialize. If you want to use OpenAI instead, set `MEM0_LLM_BASE_URL`/`MEM0_LLM_API_KEY` to your OpenAI-compatible endpoint and key. +Docker images install the default spaCy model (`en_core_web_sm`) during build so Mem0 can start without extra setup on each run. + +| Variable | Purpose | +| ---------------------------- | ---------------------------------------------------------------------------------------------------------------- | +| **MEM0_ENABLED** | **true**/false (compose default **true**). | +| **MEM0_LLM_MODEL** | Mem0 LLM model name (compose default **`llama3.1:latest`** or `OLLAMA_MODEL`). | +| **MEM0_LLM_API_KEY** | Mem0 LLM API key placeholder for OpenAI-compatible clients (compose default **`ollama`**). | +| **MEM0_LLM_BASE_URL** | Mem0 LLM base URL (compose default **`OLLAMA_URL`** or `http://host.docker.internal:11434`). | +| **MEM0_DIR** | Root directory (compose default **`/app_data/mem0`**). | +| **MEM0_EMBEDDER_PROVIDER** | Embedder backend (compose default **`fastembed`**). | +| **MEM0_EMBEDDER_MODEL** | Model id (compose default **`BAAI/bge-small-en-v1.5`**). | +| **MEM0_EMBEDDING_DIMS** | Vector size (compose default **384**). | +| **MEM0_SPACY_MODEL** | Optional spaCy model override (default **`en_core_web_sm`**). | +| **MEM0_REQUIRE_SPACY_MODEL** | Keep as **true** (default). Set to false only if you intentionally want Mem0 to run without spaCy lemmatization. | + +#### Document parsing (LiteParse) + +| Variable | Purpose | +| ------------------------- | ----------------------------------------- | +| **LITEPARSE_DPI** | OCR render DPI (compose default **120**). | +| **LITEPARSE_NUM_WORKERS** | Worker count (compose default **1**). | + +#### Database + +- **DATABASE_URL**: SQLAlchemy URL; if unset, the app falls back to SQLite under app data. +- **MIGRATE_DATABASE_ON_STARTUP**: Compose sets **`true`** for all services so migrations run on startup. + +#### Image generation + +These variables match `docker-compose.yml`. **`IMAGE_PROVIDER`** selects the backend (`pexels`, `pixabay`, `gemini_flash`, `nanobanana_pro`, `dall-e-3`, `gpt-image-1.5`, `comfyui`, `open_webui`). Use **OPENAI_API_KEY** for OpenAI image modes and **GOOGLE_API_KEY** for Gemini image modes (same keys as the LLM section). + +- **DISABLE_IMAGE_GENERATION**=[true/false]: Disable slide image generation. +- **IMAGE_PROVIDER**: Provider id (see enum above). +- **PEXELS_API_KEY**: Pexels stock images. +- **PIXABAY_API_KEY**: Pixabay stock images. +- **DALL_E_3_QUALITY**=[standard/hd]: Optional for **dall-e-3** (default `standard`). +- **GPT_IMAGE_1_5_QUALITY**=[low/medium/high]: Optional for **gpt-image-1.5** (default `medium`). +- **COMFYUI_URL** / **COMFYUI_WORKFLOW**: Self-hosted ComfyUI workflow JSON. +- **OPEN_WEBUI_IMAGE_URL** / **OPEN_WEBUI_IMAGE_API_KEY**: Open WebUI–compatible image endpoint. +- **OPENAI_COMPAT_IMAGE_BASE_URL** / **OPENAI_COMPAT_IMAGE_API_KEY** / **OPENAI_COMPAT_IMAGE_MODEL**: Required if using **openai_compatible** to send image requests to any OpenAI-compatible `/v1/images/*` endpoint (LiteLLM, Azure, vLLM Gateways, etc.). + +#### Telemetry + +- **DISABLE_ANONYMOUS_TRACKING**=[true/false]: Set to **true** to disable anonymous telemetry. + +#### Authentication (web login) + +Presenton uses a **single admin account** per instance. Credentials live in `app_data` (hashed; see `userConfig.json`). Pass these with `-e` or via `.env` for compose: + +- **AUTH_USERNAME** / **AUTH_PASSWORD** — Preseed the admin login on first boot (password at least 6 characters). Ignored if a user already exists unless **AUTH_OVERRIDE_FROM_ENV** is set. +- **AUTH_OVERRIDE_FROM_ENV**=[true/false] — If **true**, replace stored credentials from the env vars on every FastAPI startup and rotate the session signing secret (invalidates existing sessions). Remove after a one-off rotation. +- **RESET_AUTH**=[true/false] — If **true**, clear stored credentials on startup. Use for a **single** boot to recover access, then unset. + +**Examples** + +```bash +docker run -it --name presenton -p 5001:80 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest +``` + +```bash +docker run -it --name presenton -p 5001:80 -e AUTH_USERNAME=admin -e AUTH_PASSWORD=changeme123 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest +``` + +```bash +docker run -it --name presenton -p 5001:80 -e AUTH_USERNAME=admin -e AUTH_PASSWORD=changeme123 -v "${PWD}\app_data:/app_data" ghcr.io/presenton/presenton:latest +``` + +```bash +docker stop presenton && docker rm presenton && docker run -it --name presenton -p 5001:80 -e AUTH_USERNAME=admin -e AUTH_PASSWORD=newcred456 -e AUTH_OVERRIDE_FROM_ENV=true -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest +``` + +```bash +docker stop presenton && docker rm presenton && docker run -it --name presenton -p 5001:80 -e RESET_AUTH=true -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest +``` + +```bash +docker stop presenton && docker rm presenton && docker run -it --name presenton -p 5001:80 -e AUTH_USERNAME=admin -e AUTH_PASSWORD=changeme123 -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest +``` + +**Manual reset:** stop the container, edit `./app_data/userConfig.json`, delete `AUTH_USERNAME`, `AUTH_PASSWORD_HASH`, and `AUTH_SECRET_KEY`, save, and start again. + +Sign out from the app: **Settings → Other → Sign out**. + +#### MCP authentication + +When auth is configured (`AUTH_USERNAME` / `AUTH_PASSWORD`), the MCP endpoint at `/mcp` now requires authentication as well. + +1. Log in once to get a bearer token: + +```bash +curl -s -X POST http://localhost:5001/api/v1/auth/login \ + -H "Content-Type: application/json" \ + -d '{"username":"admin","password":"changeme123"}' +``` + +The response includes: + +- `access_token` (session token) +- `token_type` (`bearer`) + +2. Configure your MCP client to send that token on every request: + +```json +{ + "mcpServers": { + "presenton": { + "url": "http://localhost:5001/mcp", + "headers": { + "Authorization": "Bearer+ Note: You can replace
+5001with any other port + number of your choice to run Presenton on a different port number. If you use + Docker Compose, setPRESENTON_HTTP_HOST_PORT, for example +PRESENTON_HTTP_HOST_PORT=8080 docker compose up production. +
docker run -it --name presenton -p 5001:80 -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:latestdocker run -it --name presenton -p 5001:80 -e LLM="google" -e GOOGLE_API_KEY="******" -e IMAGE_PROVIDER="gemini_flash" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="vertex" -e VERTEX_API_KEY="******" -e VERTEX_MODEL="gemini-2.5-flash" -e IMAGE_PROVIDER="gemini_flash" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="azure" -e AZURE_OPENAI_API_KEY="******" -e AZURE_OPENAI_MODEL="gpt-4.1" -e AZURE_OPENAI_API_VERSION="2024-10-21" -e AZURE_OPENAI_ENDPOINT="https://YOUR-RESOURCE.openai.azure.com" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="bedrock" -e BEDROCK_REGION="us-east-1" -e BEDROCK_AWS_ACCESS_KEY_ID="******" -e BEDROCK_AWS_SECRET_ACCESS_KEY="******" -e BEDROCK_MODEL="us.anthropic.claude-3-5-haiku-20241022-v1:0" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="bedrock" -e BEDROCK_REGION="us-east-1" -e BEDROCK_AWS_ACCESS_KEY_ID="******" -e BEDROCK_AWS_SECRET_ACCESS_KEY="******" -e BEDROCK_MODEL="arn:aws:bedrock:us-east-1:YOUR_ACCOUNT_ID:inference-profile/us.anthropic.claude-sonnet-4-6" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="fireworks" -e FIREWORKS_API_KEY="******" -e FIREWORKS_MODEL="accounts/fireworks/models/llama-v3p1-8b-instruct" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="together" -e TOGETHER_API_KEY="******" -e TOGETHER_MODEL="openai/gpt-oss-20b" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -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:latestdocker run -it --name presenton -p 5001:80 -e LLM="anthropic" -e ANTHROPIC_API_KEY="******" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it --name presenton -p 5001:80 -e LLM="lmstudio" -e LMSTUDIO_BASE_URL="http://host.docker.internal:1234" -e LMSTUDIO_MODEL="openai/gpt-oss-20b" -e IMAGE_PROVIDER="pexels" -e PEXELS_API_KEY="******" -e CAN_CHANGE_KEYS="false" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latestdocker run -it -p 5001:80 -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:latestdocker run -it --name presenton --gpus=all -p 5001:80 -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:latestdocker run -it --name presenton -p 5001:80 -e IMAGE_PROVIDER="openai_compatible" -e OPENAI_COMPAT_IMAGE_BASE_URL="https://proxy.example.com/v1" -e OPENAI_COMPAT_IMAGE_API_KEY="******" -e OPENAI_COMPAT_IMAGE_MODEL="gpt-image-1" -v "./app_data:/app_data" ghcr.io/presenton/presenton:latest
+Endpoint: /api/v1/ppt/presentation/generate
+Method: POST
+Content-Type: application/json
+
+Authentication (HTTP Basic):
+All /api/v1/ routes except /api/v1/auth/* require authentication. Send your Presenton admin username and password (same as the web UI, or AUTH_USERNAME / AUTH_PASSWORD when preseeding Docker). With curl, put them right after -u as -u USERNAME:PASSWORD — that is HTTP Basic auth and sets Authorization: Basic … for you. Replace the sample username:password below with your real credentials.
+
| Parameter | +Type | +Required | +Description | +
|---|---|---|---|
content |
+string | +Yes | +Main content used to generate the presentation. | +
slides_markdown |
+string[] | null | +No | +Provide custom slide markdown instead of auto-generation. | +
instructions |
+string | null | +No | +Additional generation instructions. | +
tone |
+string | +No | +
+Text tone (default: "default").
+Options: default, casual, professional,
+funny, educational, sales_pitch
+ |
+
verbosity |
+string | +No | +
+Content density (default: "standard").
+Options: concise, standard, text-heavy
+ |
+
web_search |
+boolean | +No | +Enable web search grounding (default: false). |
+
n_slides |
+integer | +No | +Number of slides to generate (default: 8). |
+
language |
+string | +No | +Presentation language (default: "English"). |
+
template |
+string | +No | +Template name (default: "general"). |
+
include_table_of_contents |
+boolean | +No | +Include table of contents slide (default: false). |
+
include_title_slide |
+boolean | +No | +Include title slide (default: true). |
+
files |
+string[] | null | +No | +
+Files to use in generation.
+Upload first via /api/v1/ppt/files/upload.
+ |
+
export_as |
+string | +No | +
+Export format (default: "pptx").
+Options: pptx, pdf
+ |
+
{
+ "presentation_id": "string",
+ "path": "string",
+ "edit_path": "string"
+}-u)**
+
+curl -u username:password \
+ -X POST http://localhost:5001/api/v1/ppt/presentation/generate \
+ -H "Content-Type: application/json" \
+ -d '{
+ "content": "Introduction to Machine Learning",
+ "n_slides": 5,
+ "language": "English",
+ "template": "general",
+ "export_as": "pptx"
+ }'{
+ "presentation_id": "d3000f96-096c-4768-b67b-e99aed029b57",
+ "path": "/app_data/d3000f96-096c-4768-b67b-e99aed029b57/Introduction_to_Machine_Learning.pptx",
+ "edit_path": "/presentation?id=d3000f96-096c-4768-b67b-e99aed029b57"
+}+Note: +Prepend your server’s root URL to+ +**Documentation & Tutorials** + + + +# + +### 🚀 Roadmap + +Track the public roadmap on GitHub Projects: [https://github.com/orgs/presenton/projects/2](https://github.com/orgs/presenton/projects/2)pathand +edit_pathto construct valid links. +