About MediaPipeTasksText
MediaPipeTasksText is a powerful open-source framework for building text-based tasks using MediaPipe – a cross-platform framework that enables the development of machine learning solutions for mobile and edge devices.
Key Features
- Task-specific text processing and analysis.
- Integration with MediaPipe for on-device execution.
- Efficient and optimized for mobile and edge devices.
- Support for various text-based tasks and models.
- Easy integration with other MediaPipe solutions.
Supported Tasks
- Sentiment Analysis
- Named Entity Recognition (NER)
- Text Classification
- Language Detection
- Part-of-Speech (POS) Tagging
- Text Summarization
- Question Answering
- Sentiment-aware Text Generation
- And more…
Installation
To install MediaPipeTasksText, follow these steps:
- Clone the MediaPipeTasksText repository from GitHub.
- Navigate to the cloned repository directory.
- Build and compile the project using the provided makefile.
- Once compiled, you can integrate MediaPipeTasksText into your MediaPipe project.
- Refer to the official MediaPipe documentation for more details on building and using MediaPipe projects.
Usage
To use MediaPipeTasksText in your projects, you need to:
- Import the necessary MediaPipeTasksText modules.
- Create a text processing pipeline for your specific task (e.g., sentiment analysis).
- Provide input text to the pipeline.
- Obtain the task-specific output (e.g., sentiment score).
- Integrate the output into your project or use it for further analysis.
Examples
Here are some example snippets for using MediaPipeTasksText:
// Import required modules
import mediapipe as mp
from mediapipe_tasks_text import TextTask
# Create a sentiment analysis pipeline
sentiment_pipeline = TextTask.SentimentAnalysis()
# Process input text
input_text = "I'm thrilled about this new opportunity!"
sentiment_pipeline.process_text(input_text)
# Obtain sentiment score
sentiment_score = sentiment_pipeline.get_sentiment_score()
# Integrate sentiment score into your project
# ...
Documentation and Resources
For more information and detailed usage instructions, refer to the following resources:
- MediaPipeTasksText GitHub repository: https://github.com/mediapipe-tasks/mediapipe_tasks_text
- MediaPipe official documentation: https://mediapipe.dev/
- MediaPipeTasksText API reference: https://mediapipe-tasks.github.io/mediapipe_tasks_text/
Contributing
We welcome contributions to improve MediaPipeTasksText. To contribute:
1. Fork the MediaPipeTasksText repository on GitHub.
2. Make your changes and improvements.
3. Submit a pull request with your changes.
Make sure to follow the guidelines outlined in the repository’s CONTRIBUTING.md file.
License
MediaPipeTasksText is licensed under the Apache License 2.0.