Update app.py

app.py

@@ -1,6 +1,7 @@
-# app.py – Gradio 6+ (CPU)
+# app.py – Gradio 6+ (CPU) — SSE / SSR-safe
 
 import base64
+import logging
 import threading
 import time
 import urllib.parse
@@ -18,6 +19,8 @@ from transformers import (
     T5Tokenizer,
 )
 
+logging.basicConfig(level=logging.INFO)
+
 device = torch.device("cpu")
 
 IMG_MODEL = "nlpconnect/vit-gpt2-image-captioning"
@@ -32,7 +35,6 @@ rewriter = T5ForConditionalGeneration.from_pretrained(TXT_MODEL).to(device).eval
 
 
 def load_image(url: str):
-    """Return (PIL.Image, None) or (None, error). Handles http/https and data‑URL."""
     try:
         url = (url or "").strip()
         if not url:
@@ -137,7 +139,7 @@ def final_caption(url, prompt, detail, beams, sample):
 
 
 css = "footer {display:none !important;}"
-with gr.Blocks() as demo:
+with gr.Blocks(title="Image Describer (CPU)") as demo:
     gr.Markdown("## Image Describer")
     with gr.Row():
         with gr.Column():
@@ -167,4 +169,17 @@ with gr.Blocks() as demo:
 
 if __name__ == "__main__":
     demo.queue()
-    demo.launch(server_name="0.0.0.0", server_port=7860, css=css, prevent_thread_lock=True)
+    try:
+        demo.launch(
+            server_name="0.0.0.0",
+            server_port=7860,
+            css=css,
+            prevent_thread_lock=True,
+            ssr_mode=False,     # disable server-side rendering (avoids SSE/SSR SSE issues)
+            share=False,
+        )
+    except Exception as e:
+        logging.exception("Launch failed")
+        with open("/tmp/gradio_launch_err.txt", "w") as fh:
+            fh.write(str(e))
+        raise