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| title: SlideDeck AI | |
| emoji: 🏢 | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.32.2 | |
| 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-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407). | |
| Originally, it was built using the Llama 2 API provided by Clarifai. | |
| *Update (v4.0)*: Legacy SlideDeck AI allowed one-shot generation of a slide deck based on the inputs. | |
| In contrast, SlideDeck AI *Reloaded* enables an iterative workflow with a conversational interface, | |
| where you can create and improve the presentation. | |
| # Process | |
| SlideDeck AI works in the following way: | |
| 1. Given a topic description, it uses Mistral Nemo Instruct to generate the *initial* content of the slides. | |
| The output is generated as structured JSON data based on a pre-defined schema. | |
| 2. Next, it uses the keywords from the JSON output to search and download a few images with a certain probability. | |
| 3. Subsequently, it uses the `python-pptx` library to generate the slides, | |
| based on the JSON data from the previous step. | |
| A user can choose from a set of three pre-defined presentation templates. | |
| 4. At this stage onward, a user can provide additional instructions to *refine* the content. | |
| For example, one can ask to add another slide or modify an existing slide. | |
| A history of instructions is maintained. | |
| 5. Every time SlideDeck AI generates a PowerPoint presentation, a download button is provided. | |
| Clicking on the button will download the file. | |
| # Icons | |
| SlideDeck AI uses a subset of icons from [bootstrap-icons-1.11.3](https://github.com/twbs/icons) | |
| (MIT license) in the slides. A few icons from [SVG Repo](https://www.svgrepo.com/) | |
| (CC0, MIT, and Apache licenses) are also used. | |
| # Known Issues | |
| - **Connection timeout**: Requests sent to the Hugging Face Inference endpoint might time out. If it still does not work, wait for a while and try again. | |
| The following is not an issue but might appear as a strange behavior: | |
| - **Cannot paste text in the input box**: If the length of the copied text is greater than the maximum | |
| number of allowed characters in the textbox, pasting would not work. | |
| # Local Development | |
| SlideDeck AI uses [Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) | |
| via the Hugging Face Inference API. | |
| To run this project by yourself, you need to provide the `HUGGINGFACEHUB_API_TOKEN` API key, | |
| for example, in a `.env` file. For image search, the `PEXEL_API_KEY` should be added. | |
| Visit the respective websites to obtain the keys. | |
| # Live Demo | |
| - [SlideDeck AI](https://huggingface.co/spaces/barunsaha/slide-deck-ai) on Hugging Face Spaces | |
| - [Demo video](https://youtu.be/QvAKzNKtk9k) of the chat interface on YouTube | |
| # Award | |
| SlideDeck AI has won the 3rd Place in the [Llama 2 Hackathon with Clarifai](https://lablab.ai/event/llama-2-hackathon-with-clarifai) in 2023. |