import gradio as gr
from transformers.utils import logging
logging.set_verbosity_error()

from sentence_transformers import SentenceTransformer
from sentence_transformers import util


def compare(input):
    embeddings1 = model.encode("Hello", convert_to_tensor=True) # TODO We need to find out how to split the input by line.
    embeddings2 = model.encode(input, convert_to_tensor=True)
    cosine_scores = util.cos_sim(embeddings1, embeddings2)
    return "Score: {:.4f} \t\t {} \t\t {}".format(cosine_scores[0][0], sentences1[0], sentences2[0])

model = SentenceTransformer("all-MiniLM-L6-v2")
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()