Create app.py

app.py

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+import streamlit as st
+from sentence_transformers import SentenceTransformer
+
+# Load the pre-trained model
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+
+st.title("Sentence Embeddings")
+
+# Input from the user
+sentences = st.text_area("Enter sentences (one per line)")
+
+if sentences:
+    # Split sentences by new line
+    sentences_list = [s.strip() for s in sentences.split('\n') if s.strip()]
+    # Get embeddings
+    embeddings = model.encode(sentences_list).tolist()
+    st.json(embeddings)