Update app.py

app.py

@@ -7,18 +7,15 @@ from sentence_transformers import SentenceTransformer
 model = SentenceTransformer("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True)
 
 def embed(document: str):
-    '''This will embed text and return them in a 768 dimension vector'''
-    return model.encode(document)
-
+    '''This will embed text, normalize the embedding, and return a 768-dimension vector'''
+    embedding = model.encode(document)
+    normalized_embedding = embedding / np.linalg.norm(embedding)
+    return normalized_embedding.tolist()
 
 with gr.Blocks() as app:
-    # Create an input text box
     text_input = gr.Textbox(label="Enter text to embed")
+    output = gr.JSON(label="Normalized Text Embedding")
 
-    # Create an output component to display the embedding
-    output = gr.JSON(label="Text Embedding")
-
-    # When the input text is submitted, call the embedding function and display the output
     text_input.submit(embed, inputs=text_input, outputs=output)
 
 if __name__ == '__main__':