Update streamlit_app.py
Browse files- streamlit_app.py +86 -70
streamlit_app.py
CHANGED
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@@ -53,7 +53,6 @@ def check_gpu():
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logger.info(f"Device Name: {torch.cuda.get_device_name(0)}")
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logger.info(f"Device Capability: {torch.cuda.get_device_capability(0)}")
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# Test GPU tensor
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try:
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test_tensor = torch.randn(100, 100).cuda()
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logger.info(f"GPU Test Tensor Created Successfully on: {test_tensor.device}")
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@@ -104,20 +103,29 @@ def check_gpu():
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# --- Session State Initialization ---
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def initialize_session_state():
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"""Initialize all session state variables"""
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# --- Video Processing ---
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def process_video(input_file, background, bg_type="image"):
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@@ -139,13 +147,13 @@ def process_video(input_file, background, bg_type="image"):
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input_path = str(temp_dir / "input.mp4")
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logger.info(f"Writing video to {input_path}")
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input_file.seek(0)
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with open(input_path, "wb") as f:
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written = f.write(input_file.read())
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logger.info(f"Wrote {written/1e6:.2f}MB")
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if not os.path.exists(input_path) or os.path.getsize(input_path) == 0:
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raise FileNotFoundError(f"Input video not saved properly
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logger.info(f"Video file verified: {os.path.getsize(input_path)} bytes")
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@@ -156,7 +164,7 @@ def process_video(input_file, background, bg_type="image"):
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bg_cv = cv2.cvtColor(np.array(background), cv2.COLOR_RGB2BGR)
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bg_path = str(temp_dir / "background.jpg")
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cv2.imwrite(bg_path, bg_cv)
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logger.info(f"Background image written
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elif bg_type == "color":
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logger.info(f"Processing background COLOR: {st.session_state.bg_color}")
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@@ -164,7 +172,7 @@ def process_video(input_file, background, bg_type="image"):
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color_rgb = tuple(int(color_hex[i:i+2], 16) for i in (0, 2, 4))
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bg_path = str(temp_dir / "background.jpg")
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cv2.imwrite(bg_path, np.ones((100, 100, 3), dtype=np.uint8) * color_rgb[::-1])
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logger.info(f"Background color image written
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# Progress tracking
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progress_placeholder = st.empty()
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@@ -194,7 +202,7 @@ def progress_callback(progress, message):
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@st.cache_resource
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def load_processor(temp_dir_str):
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logger.info(f"Loading processor
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return TwoStageProcessor(temp_dir=temp_dir_str)
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processor = load_processor(str(temp_dir))
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@@ -202,9 +210,6 @@ def load_processor(temp_dir_str):
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try:
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logger.info("Calling process_video...")
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logger.info(f" Input: {input_path}")
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logger.info(f" Background: {bg_path}")
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logger.info(f" Output: {output_path}")
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success = processor.process_video(
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input_video=input_path,
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@@ -231,25 +236,24 @@ def load_processor(temp_dir_str):
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# Verify output
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if not os.path.exists(output_path):
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raise FileNotFoundError(f"Output video not created: {output_path}")
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output_size = os.path.getsize(output_path)
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logger.info(f"Output
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# Read output into memory
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logger.info("Reading output
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with open(output_path, 'rb') as f:
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video_bytes = f.read()
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logger.info(f"Read {len(video_bytes)/1e6:.2f}MB
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# Cleanup
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try:
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shutil.rmtree(temp_dir)
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logger.info("Temp directory cleaned")
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except Exception as e:
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logger.warning(f"Could not clean temp
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logger.info("=" * 60)
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logger.info("VIDEO PROCESSING COMPLETED")
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@@ -258,11 +262,9 @@ def load_processor(temp_dir_str):
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return video_bytes
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except Exception as e:
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logger.error("
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logger.error(f"ERROR IN VIDEO PROCESSING: {str(e)}")
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logger.error(traceback.format_exc())
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st.error(f"An error occurred during processing: {str(e)}")
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return None
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# --- Main Application ---
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@@ -279,9 +281,9 @@ def main():
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if st.session_state.gpu_available:
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st.success(f"GPU: {torch.cuda.get_device_name(0)}")
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else:
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st.error("GPU: Not Available
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logger.info(f"Rerun - Processing: {st.session_state.processing}
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# Main layout
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col1, col2 = st.columns([1, 1], gap="large")
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@@ -295,27 +297,32 @@ def main():
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key="video_uploader"
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)
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#
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# Video preview
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st.markdown("### Video Preview")
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if st.session_state.uploaded_video is not None:
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if st.session_state.video_bytes_cache is None:
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logger.info("Caching video
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st.session_state.uploaded_video.seek(0)
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st.session_state.video_bytes_cache = st.session_state.uploaded_video.read()
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logger.info(f"Cached {len(st.session_state.video_bytes_cache)/1e6:.2f}MB")
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st.
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else:
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st.
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with col2:
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st.header("2. Background Settings")
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@@ -334,15 +341,25 @@ def main():
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key="bg_image_uploader"
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)
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if
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st.session_state.bg_image_cache = Image.open(bg_image)
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else:
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st.
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elif bg_type == "Color":
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selected_color = st.color_picker(
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key="color_picker"
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)
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if selected_color != st.session_state.
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logger.info(f"Color
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st.session_state.bg_color = selected_color
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color_rgb = tuple(int(selected_color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))
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color_display = np.zeros((100, 100, 3), dtype=np.uint8)
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color_display[:, :] = color_rgb[::-1]
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st.session_state.color_display_cache = color_display
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if st.session_state.color_display_cache is not None:
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st.
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st.header("3. Process & Download")
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# Simple button instead of form
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if st.button(
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"Process Video",
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disabled=st.session_state.uploaded_video is None or st.session_state.processing,
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background = None
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if bg_type == "Image" and st.session_state.bg_image_cache is not None:
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background = st.session_state.bg_image_cache
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logger.info("Using background IMAGE")
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elif bg_type == "Color":
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background = st.session_state.bg_color
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logger.info(f"Using background COLOR: {background}")
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video_bytes = process_video(
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st.session_state.uploaded_video,
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if video_bytes and len(video_bytes) > 0:
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st.session_state.processed_video_bytes = video_bytes
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st.session_state.process_complete = True
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logger.info(f"
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st.success("Video processing complete!")
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else:
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logger.error("Processing returned empty
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st.error("Failed to process video")
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except Exception as e:
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logger.error(f"Exception: {str(e)}")
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st.error(f"An error occurred: {str(e)}")
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finally:
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st.session_state.processing = False
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logger.info(f"Processing finished. Success: {st.session_state.process_complete}")
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# Show processed video
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if st.session_state.processed_video_bytes is not None and len(st.session_state.processed_video_bytes) > 0:
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st.markdown("### Processed Video")
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try:
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logger.info(f"Displaying video: {len(st.session_state.processed_video_bytes)/1e6:.2f}MB")
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st.video(st.session_state.processed_video_bytes)
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st.download_button(
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label="Download Processed Video",
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data=st.session_state.processed_video_bytes,
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mime="video/mp4",
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use_container_width=True
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)
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except Exception as e:
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logger.error(f"
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st.error(f"Error
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if __name__ == "__main__":
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main()
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logger.info(f"Device Name: {torch.cuda.get_device_name(0)}")
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logger.info(f"Device Capability: {torch.cuda.get_device_capability(0)}")
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try:
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test_tensor = torch.randn(100, 100).cuda()
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logger.info(f"GPU Test Tensor Created Successfully on: {test_tensor.device}")
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# --- Session State Initialization ---
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def initialize_session_state():
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"""Initialize all session state variables"""
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defaults = {
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'uploaded_video': None,
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'video_bytes_cache': None,
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'video_preview_placeholder': None,
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'bg_image_cache': None,
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'bg_preview_placeholder': None,
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'bg_color': "#00FF00",
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'cached_color': None,
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'color_display_cache': None,
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'processed_video_bytes': None,
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'processing': False,
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'process_complete': False,
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'last_video_id': None,
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'last_bg_image_id': None,
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'gpu_available': None
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}
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for key, value in defaults.items():
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if key not in st.session_state:
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st.session_state[key] = value
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# Run GPU check on first init
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if st.session_state.gpu_available is None:
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st.session_state.gpu_available = check_gpu()
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# --- Video Processing ---
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def process_video(input_file, background, bg_type="image"):
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input_path = str(temp_dir / "input.mp4")
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logger.info(f"Writing video to {input_path}")
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input_file.seek(0)
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with open(input_path, "wb") as f:
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written = f.write(input_file.read())
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logger.info(f"Wrote {written/1e6:.2f}MB")
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if not os.path.exists(input_path) or os.path.getsize(input_path) == 0:
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raise FileNotFoundError(f"Input video not saved properly")
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logger.info(f"Video file verified: {os.path.getsize(input_path)} bytes")
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bg_cv = cv2.cvtColor(np.array(background), cv2.COLOR_RGB2BGR)
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bg_path = str(temp_dir / "background.jpg")
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cv2.imwrite(bg_path, bg_cv)
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logger.info(f"Background image written")
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elif bg_type == "color":
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logger.info(f"Processing background COLOR: {st.session_state.bg_color}")
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color_rgb = tuple(int(color_hex[i:i+2], 16) for i in (0, 2, 4))
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bg_path = str(temp_dir / "background.jpg")
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cv2.imwrite(bg_path, np.ones((100, 100, 3), dtype=np.uint8) * color_rgb[::-1])
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logger.info(f"Background color image written")
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# Progress tracking
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progress_placeholder = st.empty()
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@st.cache_resource
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def load_processor(temp_dir_str):
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logger.info(f"Loading processor")
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return TwoStageProcessor(temp_dir=temp_dir_str)
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processor = load_processor(str(temp_dir))
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try:
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logger.info("Calling process_video...")
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success = processor.process_video(
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input_video=input_path,
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# Verify output
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if not os.path.exists(output_path):
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raise FileNotFoundError(f"Output video not created")
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output_size = os.path.getsize(output_path)
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logger.info(f"Output: {output_size} bytes ({output_size/1e6:.2f}MB)")
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# Read output into memory
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logger.info("Reading output into memory...")
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with open(output_path, 'rb') as f:
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video_bytes = f.read()
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logger.info(f"Read {len(video_bytes)/1e6:.2f}MB")
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# Cleanup
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try:
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shutil.rmtree(temp_dir)
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logger.info("Temp directory cleaned")
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except Exception as e:
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logger.warning(f"Could not clean temp: {e}")
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logger.info("=" * 60)
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logger.info("VIDEO PROCESSING COMPLETED")
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return video_bytes
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except Exception as e:
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logger.error(f"ERROR: {str(e)}")
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logger.error(traceback.format_exc())
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st.error(f"An error occurred: {str(e)}")
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return None
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# --- Main Application ---
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if st.session_state.gpu_available:
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st.success(f"GPU: {torch.cuda.get_device_name(0)}")
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else:
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st.error("GPU: Not Available")
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logger.info(f"Rerun - Processing: {st.session_state.processing}")
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# Main layout
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col1, col2 = st.columns([1, 1], gap="large")
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key="video_uploader"
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)
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# Check if video actually changed using id()
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current_video_id = id(uploaded)
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if current_video_id != st.session_state.last_video_id:
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logger.info(f"New video: {uploaded.name if uploaded else 'None'}")
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st.session_state.uploaded_video = uploaded
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st.session_state.last_video_id = current_video_id
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st.session_state.video_bytes_cache = None
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st.session_state.processed_video_bytes = None
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st.session_state.process_complete = False
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# Video preview with placeholder
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st.markdown("### Video Preview")
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if st.session_state.video_preview_placeholder is None:
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st.session_state.video_preview_placeholder = st.empty()
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if st.session_state.uploaded_video is not None:
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if st.session_state.video_bytes_cache is None:
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logger.info("Caching video...")
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st.session_state.uploaded_video.seek(0)
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st.session_state.video_bytes_cache = st.session_state.uploaded_video.read()
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logger.info(f"Cached {len(st.session_state.video_bytes_cache)/1e6:.2f}MB")
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with st.session_state.video_preview_placeholder.container():
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st.video(st.session_state.video_bytes_cache)
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else:
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st.session_state.video_preview_placeholder.empty()
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with col2:
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st.header("2. Background Settings")
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key="bg_image_uploader"
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)
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# Check if image actually changed using id()
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current_bg_id = id(bg_image)
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| 346 |
+
if current_bg_id != st.session_state.last_bg_image_id:
|
| 347 |
+
logger.info(f"New background: {bg_image.name if bg_image else 'None'}")
|
| 348 |
+
st.session_state.last_bg_image_id = current_bg_id
|
| 349 |
+
if bg_image is not None:
|
| 350 |
st.session_state.bg_image_cache = Image.open(bg_image)
|
| 351 |
+
else:
|
| 352 |
+
st.session_state.bg_image_cache = None
|
| 353 |
+
|
| 354 |
+
# Background preview with placeholder
|
| 355 |
+
if st.session_state.bg_preview_placeholder is None:
|
| 356 |
+
st.session_state.bg_preview_placeholder = st.empty()
|
| 357 |
+
|
| 358 |
+
if st.session_state.bg_image_cache is not None:
|
| 359 |
+
with st.session_state.bg_preview_placeholder.container():
|
| 360 |
+
st.image(st.session_state.bg_image_cache, caption="Selected Background", use_container_width=True)
|
| 361 |
else:
|
| 362 |
+
st.session_state.bg_preview_placeholder.empty()
|
| 363 |
|
| 364 |
elif bg_type == "Color":
|
| 365 |
selected_color = st.color_picker(
|
|
|
|
| 368 |
key="color_picker"
|
| 369 |
)
|
| 370 |
|
| 371 |
+
if selected_color != st.session_state.cached_color:
|
| 372 |
+
logger.info(f"Color: {selected_color}")
|
| 373 |
st.session_state.bg_color = selected_color
|
| 374 |
+
st.session_state.cached_color = selected_color
|
| 375 |
|
| 376 |
color_rgb = tuple(int(selected_color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))
|
| 377 |
color_display = np.zeros((100, 100, 3), dtype=np.uint8)
|
| 378 |
color_display[:, :] = color_rgb[::-1]
|
| 379 |
st.session_state.color_display_cache = color_display
|
| 380 |
|
| 381 |
+
if st.session_state.bg_preview_placeholder is None:
|
| 382 |
+
st.session_state.bg_preview_placeholder = st.empty()
|
| 383 |
+
|
| 384 |
if st.session_state.color_display_cache is not None:
|
| 385 |
+
with st.session_state.bg_preview_placeholder.container():
|
| 386 |
+
st.image(st.session_state.color_display_cache, caption="Selected Color", width=200)
|
| 387 |
+
else:
|
| 388 |
+
st.session_state.bg_preview_placeholder.empty()
|
| 389 |
|
| 390 |
st.header("3. Process & Download")
|
| 391 |
|
|
|
|
| 392 |
if st.button(
|
| 393 |
"Process Video",
|
| 394 |
disabled=st.session_state.uploaded_video is None or st.session_state.processing,
|
|
|
|
| 404 |
background = None
|
| 405 |
if bg_type == "Image" and st.session_state.bg_image_cache is not None:
|
| 406 |
background = st.session_state.bg_image_cache
|
|
|
|
| 407 |
elif bg_type == "Color":
|
| 408 |
background = st.session_state.bg_color
|
|
|
|
| 409 |
|
| 410 |
video_bytes = process_video(
|
| 411 |
st.session_state.uploaded_video,
|
|
|
|
| 416 |
if video_bytes and len(video_bytes) > 0:
|
| 417 |
st.session_state.processed_video_bytes = video_bytes
|
| 418 |
st.session_state.process_complete = True
|
| 419 |
+
logger.info(f"Complete! {len(video_bytes)/1e6:.2f}MB")
|
| 420 |
st.success("Video processing complete!")
|
| 421 |
else:
|
| 422 |
+
logger.error("Processing returned empty")
|
| 423 |
st.error("Failed to process video")
|
| 424 |
|
| 425 |
except Exception as e:
|
| 426 |
logger.error(f"Exception: {str(e)}")
|
| 427 |
+
st.error(f"Error: {str(e)}")
|
|
|
|
| 428 |
finally:
|
| 429 |
st.session_state.processing = False
|
|
|
|
| 430 |
|
| 431 |
# Show processed video
|
| 432 |
if st.session_state.processed_video_bytes is not None and len(st.session_state.processed_video_bytes) > 0:
|
|
|
|
| 434 |
st.markdown("### Processed Video")
|
| 435 |
|
| 436 |
try:
|
|
|
|
| 437 |
st.video(st.session_state.processed_video_bytes)
|
|
|
|
| 438 |
st.download_button(
|
| 439 |
label="Download Processed Video",
|
| 440 |
data=st.session_state.processed_video_bytes,
|
|
|
|
| 442 |
mime="video/mp4",
|
| 443 |
use_container_width=True
|
| 444 |
)
|
|
|
|
| 445 |
except Exception as e:
|
| 446 |
+
logger.error(f"Display error: {str(e)}")
|
| 447 |
+
st.error(f"Error: {str(e)}")
|
| 448 |
|
| 449 |
if __name__ == "__main__":
|
| 450 |
main()
|