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README.md

@@ -8,3 +8,17 @@ sdk_version: "4.24.0"
 app_file: app.py
 pinned: true
 ---
+
+# NHAI DAMS Phase 1: Video to Frame Extraction
+
+This Gradio app allows you to upload a drone video and extract frames every 1 second.
+
+### Features:
+- Supports `.mp4` files
+- Saves extracted frames to `frames/<video_name>/`
+- Works on Gradio 4.24+ with `type="filepath"` support
+
+### How to Use:
+1. Upload your video
+2. Click "Start Frame Extraction"
+3. View output path and frame count

app.py

@@ -1,16 +1,17 @@
 import gradio as gr
 from backend.video_processor import extract_frames
 
-def process_video(video):
-    saved, folder = extract_frames(video.name)
+def process_video(video_path):
+    saved, folder = extract_frames(video_path)
     return f"✅ Extracted {saved} frames to {folder}"
 
 with gr.Blocks() as demo:
-    gr.Markdown("# 🎥 Video to Frame Extractor - NHAI DAMS Phase 1")
-    video_input = gr.File(label="Upload Sample Drone Video (.mp4)", type="file")
-    output = gr.Textbox(label="Extraction Status")
+    gr.Markdown("# 🎥 NHAI DAMS Phase 1: Video to Frame Extractor")
 
-    process_btn = gr.Button("Start Frame Extraction")
-    process_btn.click(fn=process_video, inputs=[video_input], outputs=[output])
+    video_input = gr.File(label="Upload Drone Video (.mp4)", type="filepath")
+    result_output = gr.Textbox(label="Status")
+
+    process_button = gr.Button("Start Frame Extraction")
+    process_button.click(fn=process_video, inputs=[video_input], outputs=[result_output])
 
 demo.launch()

backend/video_processor.py

@@ -9,7 +9,7 @@ def extract_frames(video_path, output_dir='frames', every_n_sec=1):
 
     cap = cv2.VideoCapture(video_path)
     fps = cap.get(cv2.CAP_PROP_FPS)
-    interval = int(fps * every_n_sec)
+    interval = max(1, int(fps * every_n_sec))
     frame_idx = 0
     saved = 0