Update app.py

app.py

@@ -56,9 +56,13 @@ def match_image():
     results = []
     for b64_img in data["images"]:
         try:
-            img = decode_base64_image(b64_img)
-            query_embed = np.array(clip_embd.embed_image([img]))
+            # Convert Base64 → BytesIO
+            b_io = BytesIO(base64.b64decode(b64_img))
 
+            # Embed the query image
+            query_embed = np.array(clip_embd.embed_image([b_io]))
+
+            # Cosine similarity with stored embeddings
             sims = cosine_similarity(query_embed, image_embeds)[0]
             best_idx = np.argmax(sims)