Update app.py

app.py

@@ -1028,40 +1028,16 @@ with gr.Blocks(title="Salamandra Vision 7B · ZeroGPU", css=custom_css,theme=gr.
     gr.Markdown("---")
 
     # ---------------------
-    # Section: Single image inference
+    # Section: Facial embeddings
     # ---------------------
-    gr.Markdown('<h2 style="text-align:center">Inferència per imatge única</h2>')
+    gr.Markdown('<h2 style="text-align:center">Embeddings facials</h2>')
     with gr.Row():
-        with gr.Column():
-            in_img = gr.Image(label="Imatge", type="pil")
-            in_txt = gr.Textbox(label="Text/prompt", value="Descriu la imatge amb detall (ES/CA).")
-            max_new = gr.Slider(16, 1024, value=256, step=16, label="màx_tokens nous")
-            temp = gr.Slider(0.0, 1.5, value=0.7, step=0.05, label="temperatura")
-            btn = gr.Button("Genera", variant="primary")
-        with gr.Column():
-            out = gr.Textbox(label="Descripció", lines=18)
-
-    btn.click(_infer_one, [in_img, in_txt, max_new, temp], out, api_name="describe", concurrency_limit=1)
-    gr.Markdown("---")
-
-    # ---------------------
-    # Section: Batch images
-    # ---------------------
-    gr.Markdown('<h2 style="text-align:center">Llot d’imatges</h2>')
-    batch_in_images = gr.Gallery(label="Llot d’imatges", show_label=False, columns=4, height="auto")
-    batch_context = gr.Textbox(label="context_json", value="{}", lines=4)
-    batch_max = gr.Slider(16, 1024, value=256, step=16, label="màx_tokens nous")
-    batch_temp = gr.Slider(0.0, 1.5, value=0.7, step=0.05, label="temperatura")
-    batch_btn = gr.Button("Descriu el lot", variant="primary")
-    batch_out = gr.JSON(label="Descripcions (llista)")
-
-    batch_btn.click(
-        describe_batch,
-        [batch_in_images, batch_context, batch_max, batch_temp],
-        batch_out,
-        api_name="predict",
-        concurrency_limit=1
-    )
+        face_img = gr.Image(label="Imatge per embedding facial", type="pil")
+    with gr.Row():
+        face_btn = gr.Button("Obté embedding facial", variant="primary")
+    with gr.Row():
+        face_out = gr.JSON(label="Embedding facial (vector)")
+    face_btn.click(face_image_embedding, [face_img], face_out, api_name="face_image_embedding", concurrency_limit=1)
     gr.Markdown("---")
 
     # ---------------------
@@ -1090,19 +1066,6 @@ with gr.Blocks(title="Salamandra Vision 7B · ZeroGPU", css=custom_css,theme=gr.
         concurrency_limit=1
     )
 
-    # ---------------------
-    # Section: Facial embeddings
-    # ---------------------
-    gr.Markdown('<h2 style="text-align:center">Embeddings facials</h2>')
-    with gr.Row():
-        face_img = gr.Image(label="Imatge per embedding facial", type="pil")
-    with gr.Row():
-        face_btn = gr.Button("Obté embedding facial", variant="primary")
-    with gr.Row():
-        face_out = gr.JSON(label="Embedding facial (vector)")
-    face_btn.click(face_image_embedding, [face_img], face_out, api_name="face_image_embedding", concurrency_limit=1)
-    gr.Markdown("---")
-
     # ---------------------
     # Section: Video scene extraction
     # ---------------------
@@ -1201,5 +1164,42 @@ with gr.Blocks(title="Salamandra Vision 7B · ZeroGPU", css=custom_css,theme=gr.
         concurrency_limit=1
     )
 
+    # ---------------------
+    # Section: Single image inference
+    # ---------------------
+    gr.Markdown('<h2 style="text-align:center">Inferència per imatge única</h2>')
+    with gr.Row():
+        with gr.Column():
+            in_img = gr.Image(label="Imatge", type="pil")
+            in_txt = gr.Textbox(label="Text/prompt", value="Descriu la imatge amb detall (ES/CA).")
+            max_new = gr.Slider(16, 1024, value=256, step=16, label="màx_tokens nous")
+            temp = gr.Slider(0.0, 1.5, value=0.7, step=0.05, label="temperatura")
+            btn = gr.Button("Genera", variant="primary")
+        with gr.Column():
+            out = gr.Textbox(label="Descripció", lines=18)
+
+    btn.click(_infer_one, [in_img, in_txt, max_new, temp], out, api_name="describe", concurrency_limit=1)
+    gr.Markdown("---")
+
+    # ---------------------
+    # Section: Batch images
+    # ---------------------
+    gr.Markdown('<h2 style="text-align:center">Llot d’imatges</h2>')
+    batch_in_images = gr.Gallery(label="Llot d’imatges", show_label=False, columns=4, height="auto")
+    batch_context = gr.Textbox(label="context_json", value="{}", lines=4)
+    batch_max = gr.Slider(16, 1024, value=256, step=16, label="màx_tokens nous")
+    batch_temp = gr.Slider(0.0, 1.5, value=0.7, step=0.05, label="temperatura")
+    batch_btn = gr.Button("Descriu el lot", variant="primary")
+    batch_out = gr.JSON(label="Descripcions (llista)")
+
+    batch_btn.click(
+        describe_batch,
+        [batch_in_images, batch_context, batch_max, batch_temp],
+        batch_out,
+        api_name="predict",
+        concurrency_limit=1
+    )
+    gr.Markdown("---")
+
 demo.queue(max_size=16).launch(show_error=True,share=True)