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README.md
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git clone https://github.com/devansh-srivastav/GoEmotions.git
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```
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`Step 2` -
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```bash
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python -m venv venv
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venv\Scripts\activate
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```
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`Step
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```bash
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pip install -r requirements.txt
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```
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`Step
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`Step 5` - Navigate to the root directory of the project.
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```bash
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cd GoEmotions
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```
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`Step 6`
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- A web-based dashboard will open in your default browser.
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- Type or paste a text input in the text box provided.
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- The dashboard will visualise the detected emotions in a set of gauges, with each gauge representing the intensity of a specific emotion category. The gauge colors are based on a predefined color map for each emotion category.
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- Moreover, the dashboard will display the results from Hate Speech Analysis and Sexism Detection models.
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git clone https://github.com/devansh-srivastav/GoEmotions.git
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```
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`Step 2` - Navigate to the root directory of the project.
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```bash
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cd GoEmotions
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```
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`Step 3` - Create and activate a new python virtual environment: (This step can be skipped if working on GitHub Codespaces!)
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```bash
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python -m venv venv
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venv\Scripts\activate
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```
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`Step 4` - Install the required packages using pip: (This step can be skipped if working on GitHub Codespaces as it automatically installs the requirements!)
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```bash
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pip install -r requirements.txt
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```
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`Step 5`- Create a free account on the [Hugging Face website](https://huggingface.co/) and generate an API key (read).
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`Step 6`
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- A web-based dashboard will open in your default browser.
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- Type or paste a text input in the text box provided.
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- The dashboard will visualise the detected emotions in a set of gauges, with each gauge representing the intensity of a specific emotion category. The gauge colors are based on a predefined color map for each emotion category.
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- Moreover, the dashboard will display the results from Hate Speech Analysis and Sexism Detection models.
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