Update app.py

app.py

@@ -1,21 +1,17 @@
 import gradio as gr
+import numpy as np
+import cv2
 from core_pipeline import extract_frames, detect_trees, plot_detections
 
 def process_video(video_file):
-    import tempfile
-    import numpy as np
-
     if video_file is None:
         return None
 
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp:
-        tmp.write(video_file.read())
-        video_path = tmp.name
-
+    video_path = video_file.name  # ✅ fix for NamedString input
     frames = extract_frames(video_path)
     results = []
 
-    for i, frame in enumerate(frames[:3]):
+    for i, frame in enumerate(frames[:3]):  # Show top 3 sample frames
         detected, bboxes, confs, labels = detect_trees(frame)
         annotated = plot_detections(detected, bboxes)
         results.append(annotated)
@@ -27,8 +23,8 @@ def process_video(video_file):
 
 gr.Interface(
     fn=process_video,
-    inputs=gr.File(label="Upload Drone Video", file_types=[".mp4"]),  # ✅ FIXED
+    inputs=gr.File(label="Upload Drone Video", file_types=[".mp4"]),
     outputs=gr.Image(label="Tree Detections (Sample Frames)"),
-    title="🌳 Tree Height Detection from Drone Video",
-    description="Upload drone video to detect trees. Sample frames will be shown with bounding boxes."
+    title="🌳 Drone Tree Detection App",
+    description="Upload top-down drone footage (.mp4). This app detects trees using YOLOv8 and shows sample frames with bounding boxes."
 ).launch()