initial stuff with en and fr demo example.

.gitignore

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+.idea

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer, util
+
+i18n_model = SentenceTransformer('distiluse-base-multilingual-cased-v2')
+
+def inference(s1:str, s2:str):
+    score = util.cos_sim(i18n_model.encode(s1), i18n_model.encode(s2)).item()
+    return f'{score:.3f}'
+
+gr.Interface(
+    inference,
+    [ gr.Textbox(label="Sentence 1"), gr.Textbox(label="Sentence 2")  ],
+    [ gr.components.Label(label="Similarity score") ],
+    title="Similarity score between 2 sentences",
+    description="In this demo do provide 2 sentences bellow. They can even be in distinct languages. Powered by S-BERT multilingual model : https://www.sbert.net.",
+    examples=[['The sentences are mapped such that sentences with similar meanings are close in vector space.', 'Les phrases sont mappées de manière à ce que les phrases ayant des significations similaires soient proches dans l\'espace vectoriel.'],
+              ['You do not need to specify the input language.', 'You can use any language.']],
+    live=True,
+    allow_flagging="never"
+).launch(debug=True, enable_queue=True)

requirements.txt

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+gradio
+sentence_transformers