UI updates

app.py

@@ -54,21 +54,22 @@ def on_run(image, ptxt, social, agent_name, agent_phone,
 with gr.Blocks(title="Image + Text Compliance Check") as demo:
     gr.Markdown("# Image + Text Compliance Check")
 
+    with gr.Row():
+        agent_name  = gr.Textbox(label="Agent Name", placeholder="e.g., Jane Doe")
+        agent_phone = gr.Textbox(label="Agent Phone (digits or formatted)")
+        social      = gr.Checkbox(label="Is this a Social Post?", value=False)
+
     with gr.Row():
         image = gr.Image(type="pil", label="Upload image (optional)")
         ptxt  = gr.Textbox(lines=8, label="Post Text (Ptxt)")
 
-    with gr.Row():
-        social      = gr.Checkbox(label="Social", value=False)
-        agent_name  = gr.Textbox(label="Agent Name", placeholder="e.g., Jane Doe")
-        agent_phone = gr.Textbox(label="Agent Phone (digits or formatted)")
 
     with gr.Accordion("Advanced", open=False):
         company_name        = gr.Textbox(label="Company Name", value=COMPANY_NAME_DEFAULT)
         company_phones_json = gr.Textbox(label="Company Phones (JSON list)", value=json.dumps(COMPANY_PHONES_DEFAULT))
         disclaimer          = gr.Textbox(label="Disclaimer", value=DISCLAIMER_DEFAULT)
 
-        gr.Markdown("### ML preferences")
+        gr.row("### ML preferences")
         enable_ml = gr.Checkbox(label="Enable tiny ML classifier", value=bool(DEFAULT_USE_TINY_ML))
         hf_repo   = gr.Textbox(label="HF repo", value=DEFAULT_HF_REPO)
         hf_thresh = gr.Slider(label="ML threshold", minimum=0.5, maximum=0.99, step=0.01, value=float(DEFAULT_HF_THRESH))

checker.py

@@ -36,7 +36,7 @@ DISCLAIMER_DEFAULT = (
 REQUIRE_DISCLAIMER_ON_NON_SOCIAL = os.getenv("REQUIRE_DISCLAIMER_ON_NON_SOCIAL", "1") == "1"
 
 # Optional HF classifier (tiny) – set USE_TINY_ML=1 to enable
-USE_TINY_ML = os.getenv("USE_TINY_ML", "0") == "1"
+USE_TINY_ML = os.getenv("USE_TINY_ML", "1") == "1"
 HF_REPO = os.getenv("HF_REPO", "tlogandesigns/fairhousing-bert-tiny")
 HF_THRESH = float(os.getenv("HF_THRESH", "0.75"))