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title: Intent Classifier | |
emoji: 💻 | |
colorFrom: pink | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 3.46.0 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
# [Text Intent Classification](https://huggingface.co./spaces/xjlulu/intent_classifier) | |
## Introduction | |
This demo is a Text Intent Classification system that uses a machine learning model to classify text into different intents or categories. You can enter a text, and the system will predict its category. | |
## Usage | |
1. Enter a text in the text box. | |
2. Click the "Submit" button to see the predicted intent or category. | |
## Getting Started | |
Follow these steps to run the demo locally on your machine: | |
1. Clone this repository to your local machine: | |
```shell | |
git clone https://github.com/yourusername/text-intent-classification-demo.git | |
cd text-intent-classification-demo | |
``` | |
2. Install the required dependencies listed in the `requirements.txt` file using pip: | |
```shell | |
pip install -r requirements.txt | |
``` | |
3. Run the `app.py` file using Python: | |
```shell | |
python app.py | |
``` | |
This will start the local server for the demo. | |
## Environment | |
```shell | |
# If you have conda, we recommend creating a conda environment called "intent" | |
make | |
conda activate intent | |
pip install -r requirements.txt | |
# Otherwise | |
pip install -r requirements.in | |
``` | |
## Configuration | |
![SDK Version](https://img.shields.io/badge/SDK-3.46.0-blue) | |
![Python Version](https://img.shields.io/badge/Python-3.10-green) | |
## Contact | |
If you have any questions, feedback, or issues, please feel free to[contact us](mailto: [email protected]). |