Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2') 
+
+def encode_sentences(sentences):
+    embeddings = model.encode(sentences)
+    return embeddings
+
+demo = gr.Interface(fn=encode_sentences, 
+                    inputs="textbox", 
+                    outputs="text")
+                    
+if __name__ == "__main__":
+    demo.launch()