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| title: SlideDeck AI | |
| emoji: 🏢 | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.26.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # SlideDeck AI | |
| We spend a lot of time on creating the slides and organizing our thoughts for any presentation. | |
| With SlideDeck AI, co-create slide decks on any topic with Generative Artificial Intelligence. | |
| Describe your topic and let SlideDeck AI generate a PowerPoint slide deck for you—it's as simple as that! | |
| SlideDeck AI is powered by [Mistral 7B Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). | |
| Originally, it was built using the Llama 2 API provided by Clarifai. | |
| # Process | |
| SlideDeck AI works in the following way: | |
| 1. Given a topic description, it uses Mistral 7B Instruct to generate the outline/contents of the slides. | |
| The output is generated as structured JSON data based on a pre-defined schema. | |
| 2. Subsequently, it uses the `python-pptx` library to generate the slides, | |
| based on the JSON data from the previous step. | |
| Here, a user can choose from a set of three pre-defined presentation templates. | |
| 3. In addition, it uses Metaphor to fetch Web pages related to the topic. | |
| 4. ~~Finally, it uses Stable Diffusion 2 to generate an image, based on the title and each slide heading.~~ | |
| # Local Development | |
| SlideDeck AI uses [Mistral 7B Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) | |
| via the Hugging Face Inference API. | |
| To run this project by yourself, you need to provide the `HUGGINGFACEHUB_API_TOKEN` and `METAPHOR_API_KEY` API keys, | |
| for example, in a `.env` file. Visit the respective websites to obtain the keys. | |
| # Live Demo | |
| [SlideDeck AI](https://huggingface.co/spaces/barunsaha/slide-deck-ai) | |
| # Award | |
| SlideDeck AI has won the 3rd Place in the [Llama 2 Hackathon with Clarifai](https://lablab.ai/event/llama-2-hackathon-with-clarifai). |