Apppublic

ADK09/speak-your-mind-fastapi

sourceHugging Facemitupdated 2y agoView on Hugging Face

0likes

App README

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Speak Your Mind FastAPI

Speak Your Mind is an emotion detection API built with FastAPI. It uses the pre-trained RoBERTa model `cardiffnlp/twitter-roberta-base-emotion-latest` to analyze emotions from text.

Features

—FastAPI-based REST API running on port 7860.
—Uses pre-trained RoBERTa model for emotion classification.
—Dockerized for easy deployment.

Model Information

This API uses the `cardiffnlp/twitter-roberta-base-emotion-latest` model without any additional training or fine-tuning. It predicts emotions such as joy, sadness, optimism, and more.

—Model Source: Hugging Face Model Page
—No additional fine-tuning or training has been done.
—Supported Emotions: Joy, Sadness, Optimism, etc.

🛠️ Installation & Usage

▶ Run Locally

bash

git clone https://huggingface.co/spaces/ADK09/speak-your-mind-fastapi
cd speak-your-mind-fastapi
pip install -r requirements.txt
uvicorn app:app --host 0.0.0.0 --port 7860

Access the API at http://localhost:7860/docs

▶ Run with Docker

bash

docker build -t speak-your-mind .
docker run -p 7860:7860 speak-your-mind

API Endpoints

Method	Endpoint	Description
`GET`	`/`	Check if API is running
`POST`	`/classify-emotion`	Predict emotion from text

Example Request

json

{
  "text": "I feel fantastic today!"
}

Example Response

json

{
  "predicted_emotion": "joy"
}

Disclaimer

This API only uses the pre-trained model and does not modify or fine-tune it. Predictions are based on the original model's training data

License

This project is licensed under the MIT License.

Acknowledgments

This project uses the RoBERTa model fine-tuned by Cardiff NLP. Special thanks to the Hugging Face and Cardiff NLP teams.

—`cardiffnlp/twitter-roberta-base-emotion-latest`