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---
title: Video To Social Media Post Generator
emoji: 📸
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: true
license: apache-2.0
short_description: powered by PixelTable
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/669ee023c7e62283cb5c51e0/MpLp6QMlriY25tezXwOYr.png
---
Pixeltable is a Python library providing a declarative interface for multimodal data (text, images, audio, video). It features built-in versioning, lineage tracking, and incremental updates, enabling users to **store**, **transform**, **index**, and **iterate** on data for their ML workflows.
Data transformations, model inference, and custom logic are embedded as **computed columns**.
- **Load/Query all data types**: Interact with [video data](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#import-media-data-into-pixeltable-videos-images-audio) at the [frame level](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#text-and-image-similarity-search-on-video-frames-with-embedding-indexes) and documents at the [chunk level](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#automate-data-operations-with-views-eg-split-documents-into-chunks)
- **Incremental updates for data transformation**: Maintain an [embedding index](https://docs.pixeltable.com/docs/embedding-vector-indexes) colocated with your data
- **Lazy evaluation and cache management**: Eliminates the need for [manual frame extraction](https://docs.pixeltable.com/docs/object-detection-in-videos)
- **Integrates with any Python libraries**: Use [built-in and custom functions (UDFs)](https://docs.pixeltable.com/docs/user-defined-functions-udfs) without complex pipelines
- **Data format agnostic and extensibility**: Access tables as Parquet files, [PyTorch datasets](https://pixeltable.github.io/pixeltable/api/data-frame/#pixeltable.DataFrame.to_pytorch_dataset), or [COCO annotations](https://pixeltable.github.io/pixeltable/api/table/#pixeltable.Table.to_coco_dataset)
## 💾 Installation
```python
pip install pixeltable
```
**Pixeltable is persistent. Unlike in-memory Python libraries such as Pandas, Pixeltable is a database.**
## ❓ FAQ
### What is Pixeltable?
Pixeltable unifies data storage, versioning, and indexing with orchestration and model versioning under a declarative table interface, with transformations, model inference, and custom logic represented as computed columns.
### What problems does Pixeltable solve?
Today's solutions for AI app development require extensive custom coding and infrastructure plumbing. Tracking lineage and versions between and across data transformations, models, and deployments is cumbersome. Pixeltable lets ML Engineers and Data Scientists focus on exploration, modeling, and app development without dealing with the customary data plumbing.
### What does Pixeltable provide me with? Pixeltable provides:
- Data storage and versioning
- Combined Data and Model Lineage
- Indexing (e.g. embedding vectors) and Data Retrieval
- Orchestration of multimodal workloads
- Incremental updates
- Code is automatically production-ready
### Why should you use Pixeltable?
- **It gives you transparency and reproducibility**
- All generated data is automatically recorded and versioned
- You will never need to re-run a workload because you lost track of the input data
- **It saves you money**
- All data changes are automatically incremental
- You never need to re-run pipelines from scratch because you’re adding data
- **It integrates with any existing Python code or libraries**
- Bring your ever-changing code and workloads
- You choose the models, tools, and AI practices (e.g., your embedding model for a vector index); Pixeltable orchestrates the data
### What is Pixeltable not providing?
- Pixeltable is not a low-code, prescriptive AI solution. We empower you to use the best frameworks and techniques for your specific needs.
- We do not aim to replace your existing AI toolkit, but rather enhance it by streamlining the underlying data infrastructure and orchestration. |