Update app.py

app.py

@@ -1,5 +1,21 @@
 import gradio as gr
+from sentence_transformers import SentenceTransformer
+import pandas as pd
 
+model = SentenceTransformer('all-MiniLM-L6-v2')
+
+sentences = [
+        "This is the first sentence.",
+        "Here is another sentence for embedding.",
+        "Sentence Transformers are powerful for semantic search."
+]
+
+
+embeddings = model.encode(sentences)
+
+df = pd.DataFrame({'sentence': sentences, 'embedding': list(embeddings)})
+
+df.to_csv('sentence_embeddings.csv', index=False)
 def greet(name):
     return "Hello " + name + "!!"