import gradio as gr
import matplotlib.pyplot as plt
from sentence_transformers import SentenceTransformer

def predict(im1, im2):
  model = SentenceTransformer('sentence-transformers/clip-ViT-B-16')
  emb = model.encode([im1, im2])
  sim = cosine_similarity(emb)[0][1]
  if sim > .90:
    return sim, "SAME PERSON, UNLOCK PHONE"
  else:
    return sim, "DIFFERENT PEOPLE, DON'T UNLOCK"
      
interface = gr.Interface(fn=predict, 
                         inputs= [gr.Image(type="pil", source="webcam"), 
                                  gr.Image(type="pil", source="webcam")], 
                         outputs= [gr.Number(label="Similarity"),
                                   gr.Textbox(label="Message")]
                         )

interface.launch(debug=True)