Update app.py

app.py

@@ -10,7 +10,7 @@ from transformers import AutoProcessor, AutoModelForVision2Seq, TextIteratorStre
 # =======================
 # Runtime / model config
 # =======================
-DEVICE = "cpu"                           
+DEVICE = "cpu"                            
 DTYPE = torch.float32
 MODEL_ID = "Qwen/Qwen2-VL-2B-Instruct"
 
@@ -67,7 +67,7 @@ def stream_answer(
             "content": (
                 "You are a helpful visual assistant from Soca AI. Your name is Agus. "
                 "Please ALWAYS reply in the SAME language as the user's last message! "
-                "Be concise and specific. Prefer a shorter response for faster generation."
+                "Be concise and specific."
             ),
         },
         {
@@ -133,10 +133,24 @@ def stream_answer(
 # =========
 CSS = """
 #send-wrap { position: relative; }
-#send-btn { 
-  position: absolute; right: 10px; bottom: 10px;
-  min-width: 40px; width: 40px; height: 36px; padding: 0;
+#send-wrap .gradio-container, #send-wrap .gr-group { position: relative; }
+
+/* give the textarea extra right padding so the arrow doesn't overlap text */
+#send-wrap textarea {
+  padding-right: 56px !important;
+}
+
+/* make the send button float on top, inside the textbox area */
+#send-btn {
+  position: absolute;
+  right: 12px;
+  bottom: 10px;
+  min-width: 42px;
+  width: 42px;
+  height: 36px;
+  padding: 0;
   border-radius: 10px;
+  z-index: 20; /* above the textbox */
 }
 """
 
@@ -158,16 +172,15 @@ with gr.Blocks(title="Qwen2-VL Visual Assistant", theme=gr.themes.Soft(), css=CS
                 height=480,
                 bubble_full_width=False,
             )
-
+            
     with gr.Group(elem_id="send-wrap"):
         prompt = gr.Textbox(
             label="Prompt",
             placeholder="Ask about the image…",
-            lines=2,
+            lines=1,                # Enter submits
         )
         send = gr.Button("➤", elem_id="send-btn", variant="primary")
 
-    # Submit on click or on Enter
     for trigger in (send.click, prompt.submit):
         trigger(
             stream_answer,