Setup model

app.py

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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].tolist())
+
+demo = gr.Interface(fn=give_embeddings, inputs="text", outputs="text")
+demo.launch()

requirements.txt

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+sentence_transformers