Update app.py

app.py

@@ -8,6 +8,7 @@ import os
 hf_token = os.getenv("HF_TOKEN")
 login(hf_token)
 
+# Load model once
 model = GLiNER2.from_pretrained("fastino/gliner2-base-0207")
 
 def run_ner(text, types_csv, descs):
@@ -82,6 +83,8 @@ header.brand .subtitle {
   border-radius: 0.75rem;
   box-shadow: 0 4px 10px rgba(0,0,0,0.05);
   margin-bottom: 1.5rem;
+  display: grid;
+  grid-gap: 1rem;
 }
 .gr-button.primary {
   background: var(--primary) !important;
@@ -105,7 +108,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple", secondary_hue="blue"),
     with gr.Tabs():
         # NER Tab
         with gr.TabItem("🔍 Named Entity Recognition"):
-            with gr.Row(elem_classes="card", gap="small"):
+            with gr.Row(elem_classes="card"):
                 with gr.Column(scale=2):
                     txt1 = gr.Textbox(label="Input Text", lines=5, placeholder="Enter text to extract entities...")
                     types1 = gr.Textbox(label="Entity Types (CSV)", value="person, organization, location, date, title, topic")
@@ -118,7 +121,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple", secondary_hue="blue"),
 
         # Classification Tab
         with gr.TabItem("📝 Text Classification"):
-            with gr.Row(elem_classes="card", gap="small"):
+            with gr.Row(elem_classes="card"):
                 with gr.Column(scale=2):
                     txt2 = gr.Textbox(label="Input Text", lines=5, placeholder="Enter text to classify...")
                     task2 = gr.Textbox(label="Task Name", value="sentiment_analysis")
@@ -133,7 +136,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple", secondary_hue="blue"),
 
         # Structure Extraction Tab
         with gr.TabItem("📐 Structure Extraction"):
-            with gr.Row(elem_classes="card", gap="small"):
+            with gr.Row(elem_classes="card"):
                 with gr.Column(scale=2):
                     txt3 = gr.Textbox(label="Input Text", lines=5, placeholder="Enter text for structure extraction...")
                     struct3 = gr.Code(language="json", label="Schema (JSON)", lines=8, value=json.dumps({