update

app.py

@@ -6,13 +6,20 @@ import numpy as np
 from PIL import Image
 from itertools import product
 
-def process(image):
-    if image is None:
+def process(image_path):
+    if not image_path:
         return None, None, None, None, [], ""
     with tempfile.TemporaryDirectory() as tmpdir:
-        ext = image.format.lower() if image.format else 'png'
+        # Copy uploaded file as-is to preserve format/bit-depth
+        src = Path(image_path)
+        ext = src.suffix.lstrip('.') or 'tif'
         img_path = Path(tmpdir) / f"input.{ext}"
-        image.save(img_path)
+        try:
+            img_bytes = src.read_bytes()
+            img_path.write_bytes(img_bytes)
+        except Exception:
+            # Fallback: save via PIL if direct copy fails
+            Image.open(src).save(img_path)
         outputs = run_pipeline_on_image(str(img_path), tmpdir, save_artifacts=True)
 
         def load_pil(path_str):
@@ -40,12 +47,12 @@ def process(image):
         return size_img, composite, mask, overlay, texture_img, gallery_items, stats_text
 
 with gr.Blocks() as demo:
-    gr.Markdown("# 🌿 Sorghum Plant Analysis Demo")
+    gr.Markdown("# 🌿 Automated Plant Analysis Demo")
     gr.Markdown("Upload a sorghum plant image to compute and visualize composite, mask, overlay, texture (LBP), vegetation indices, and statistics.")
 
     with gr.Row():
         with gr.Column():
-            inp = gr.Image(type="pil", label="Upload Image")
+            inp = gr.Image(type="filepath", label="Upload Image")
             run = gr.Button("Run Pipeline", variant="primary")
 
     with gr.Row():