Update app.py

app.py

@@ -143,14 +143,13 @@ def pil_to_base64(img, max_size=280):
     return base64.b64encode(buf.getvalue()).decode("utf-8")
 
 # ---------------------------------------------------------------------------
-# EMBEDDING + FAISS SEARCH (תיקון ה-TypeError וה-AttributeError לחילוץ וקטורים)
+# EMBEDDING + FAISS SEARCH
 # ---------------------------------------------------------------------------
 @torch.no_grad()
 def embed_query_image(pil_image):
     inputs = win_processor(images=pil_image, return_tensors="pt").to(DEVICE)
     outputs = win_model(**inputs)
     
-    # שימוש ישיר ובטוח בחילוץ הוקטור ללא תלות בסוג העטיפה של BaseModelOutput
     if hasattr(outputs, "image_embeds") and outputs.image_embeds is not None:
         feats = outputs.image_embeds
     elif hasattr(outputs, "pooler_output") and outputs.pooler_output is not None:
@@ -169,7 +168,6 @@ def embed_query_text(sentence):
     inputs = win_processor(text=[sentence], return_tensors="pt", padding=True, truncation=True).to(DEVICE)
     outputs = win_model(**inputs)
     
-    # שימוש ישיר ובטוח בחילוץ הוקטור ללא תלות בסוג העטיפה של BaseModelOutput
     if hasattr(outputs, "text_embeds") and outputs.text_embeds is not None:
         feats = outputs.text_embeds
     elif hasattr(outputs, "pooler_output") and outputs.pooler_output is not None:
@@ -199,7 +197,8 @@ def faiss_filtered_search(query_emb, top_k=3, exclude_idx=None, gender=None, age
             if idx == -1 or (exclude_idx is not None and idx == exclude_idx):
                 continue
             row = df.iloc[idx]
-            if require_gender && gender and str(row["gender"]).lower() != str(gender).lower():
+            # FIXED: Syntax correction changing '&&' to python's native 'and' operator
+            if require_gender and gender and str(row["gender"]).lower() != str(gender).lower():
                 continue
             if require_age and age_group and str(row["age_group"]).lower() != str(age_group).lower():
                 continue
@@ -488,7 +487,6 @@ with gr.Blocks(title="Personal Color Styling") as demo:
             [style_card_a, new_img_a, answer_a, outfit_cards_a],
         )
 
-        # תיקון: הגדרת cache_examples=False כדי למנוע קריסות והדמיית קלט כפויה
         gr.Examples(
             examples=[
                 [SAMPLE_PHOTOS[0], "woman", "adult", "What style would suit me best?"],