This Flask API calculates the similarity between two text sentences using the Sentence Transformers library. It utilizes pre-trained models to convert text into embeddings and computes the cosine similarity between them.

• Python 3.x
• Flask
• Sentence Transformers

Install the required Python packages using the following command:

pip install flask sentence-transformers

1. Clone this repository to your local machine.

2. Open a terminal and navigate to the project directory.

3. Run the Flask API using the following command:

   python app.py

   This will start the API locally on http://localhost:8080.

4. Use a tool like curl or Postman to send POST requests to the API with JSON data containing two text sentences for which you want to calculate similarity. Example:

   curl -X POST -H "Content-Type: application/json" -d '{"text1": "First sentence", "text2": "Second sentence"}' http://localhost:8080

5. The API will respond with a JSON object containing the similarity score between the two sentences.

• POST /

  • Request:

    {
      "text1": "First sentence",
      "text2": "Second sentence"
    }

  • Response:

    {
      "similarity score": 0.85
    }