relatable / app.py
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created app.py using SBERT
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import gradio as gr
import json
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
def give_embeddings(sentence):
return json.dumps(model.encode([sentence])[0])
demo = gr.Interface(fn=give_embeddings, inputs="text", outputs="text")
demo.launch()