created app.py using SBERT

app.py

@@ -0,0 +1,11 @@
+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()