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Update app.py
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app.py
CHANGED
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@@ -8,7 +8,7 @@ from ultralytics import YOLO
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import requests
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###############################################################################
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# Helper: Embed an HTML5 video
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###############################################################################
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def show_autoplay_video(video_bytes: bytes, title: str = "Video"):
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if not video_bytes:
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@@ -25,7 +25,7 @@ def show_autoplay_video(video_bytes: bytes, title: str = "Video"):
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st.markdown(video_html, unsafe_allow_html=True)
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###############################################################################
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# Session state initialization for processed results
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###############################################################################
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if "processed_frames" not in st.session_state:
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st.session_state["processed_frames"] = []
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@@ -35,7 +35,7 @@ if "shortened_video_ready" not in st.session_state:
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st.session_state["shortened_video_ready"] = False
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###############################################################################
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# Configure YOLO model path and page layout
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###############################################################################
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model_path = 'https://huggingface.co/spaces/tstone87/ccr-colorado/resolve/main/best.pt'
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st.set_page_config(
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@@ -46,7 +46,7 @@ st.set_page_config(
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)
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###############################################################################
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# SIDEBAR: Video input options, confidence, sampling options, and example selection
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###############################################################################
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with st.sidebar:
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st.header("Video Input Options")
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@@ -65,6 +65,7 @@ with st.sidebar:
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)
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progress_text = st.empty()
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progress_bar = st.progress(0)
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###############################################################################
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# MAIN TITLE
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@@ -72,7 +73,7 @@ with st.sidebar:
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st.title("Fire Detection: Original vs. Processed Video")
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###############################################################################
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# Load YOLO model
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###############################################################################
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try:
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model = YOLO(model_path)
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@@ -87,7 +88,7 @@ original_video_data = None
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processed_video_data = None # For example pairs
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if example_option != "None":
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#
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if example_option == "T Example":
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orig_url = "https://huggingface.co/spaces/tstone87/ccr-colorado/resolve/main/T1.mp4"
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proc_url = "https://huggingface.co/spaces/tstone87/ccr-colorado/resolve/main/T2.mpg"
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@@ -100,17 +101,16 @@ if example_option != "None":
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except Exception as ex:
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st.error("Error loading example videos. Check your URLs.")
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else:
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if source_file:
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file_type = source_file.type.split('/')[0]
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if file_type == 'image':
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# For images, show the image preview.
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original_image = PIL.Image.open(source_file)
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buf = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
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original_image.save(buf.name, format="PNG")
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with open(buf.name, "rb") as f:
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original_video_data = f.read()
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else:
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# For video uploads, save to a temporary file.
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tfile = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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tfile.write(source_file.read())
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tfile.flush()
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@@ -133,27 +133,24 @@ with col1:
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else:
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st.info("No original video available.")
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if example_option != "None":
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else:
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if st.session_state["shortened_video_ready"] and st.session_state["shortened_video_data"]:
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show_autoplay_video(st.session_state["shortened_video_data"], title="Processed Video")
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else:
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###############################################################################
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# DETECTION: Process the uploaded video if no example is selected.
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###############################################################################
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if example_option == "None" and source_file and source_file.type.split('/')[0] != 'image':
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if st.sidebar.button("Let's Detect Wildfire"):
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# Reset previous results.
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st.session_state["processed_frames"] = []
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st.session_state["shortened_video_data"] = None
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st.session_state["shortened_video_ready"] = False
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@@ -186,7 +183,6 @@ if example_option == "None" and source_file and source_file.type.split('/')[0] !
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sample_interval = 1
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output_fps = orig_fps
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# Process frames.
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success, image = vidcap.read()
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while success:
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if frame_count % sample_interval == 0:
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@@ -234,7 +230,7 @@ if example_option == "None" and source_file and source_file.type.split('/')[0] !
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# ALWAYS display the download button if a processed video is ready.
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###############################################################################
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if st.session_state["shortened_video_ready"] and st.session_state["shortened_video_data"]:
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label="Download Processed Video",
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data=st.session_state["shortened_video_data"],
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file_name="processed_video.mp4",
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import requests
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###############################################################################
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# Helper: Embed an HTML5 video that autoplays (muted) with controls.
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###############################################################################
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def show_autoplay_video(video_bytes: bytes, title: str = "Video"):
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if not video_bytes:
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st.markdown(video_html, unsafe_allow_html=True)
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###############################################################################
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# Session state initialization (for processed results)
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###############################################################################
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if "processed_frames" not in st.session_state:
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st.session_state["processed_frames"] = []
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st.session_state["shortened_video_ready"] = False
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###############################################################################
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# Configure YOLO model path and page layout
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###############################################################################
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model_path = 'https://huggingface.co/spaces/tstone87/ccr-colorado/resolve/main/best.pt'
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st.set_page_config(
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)
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###############################################################################
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# SIDEBAR: Video input options, confidence, sampling options, and example selection
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###############################################################################
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with st.sidebar:
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st.header("Video Input Options")
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)
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progress_text = st.empty()
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progress_bar = st.progress(0)
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download_placeholder = st.empty() # This placeholder will hold the download button
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###############################################################################
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# MAIN TITLE
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st.title("Fire Detection: Original vs. Processed Video")
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###############################################################################
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# Load YOLO model
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###############################################################################
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try:
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model = YOLO(model_path)
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processed_video_data = None # For example pairs
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if example_option != "None":
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# Use example videos from remote URLs.
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if example_option == "T Example":
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orig_url = "https://huggingface.co/spaces/tstone87/ccr-colorado/resolve/main/T1.mp4"
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proc_url = "https://huggingface.co/spaces/tstone87/ccr-colorado/resolve/main/T2.mpg"
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except Exception as ex:
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st.error("Error loading example videos. Check your URLs.")
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else:
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# No example selected. If a file is uploaded, use it.
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if source_file:
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file_type = source_file.type.split('/')[0]
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if file_type == 'image':
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original_image = PIL.Image.open(source_file)
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buf = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
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original_image.save(buf.name, format="PNG")
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with open(buf.name, "rb") as f:
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original_video_data = f.read()
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else:
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tfile = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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tfile.write(source_file.read())
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tfile.flush()
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else:
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st.info("No original video available.")
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with col2:
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st.subheader("Result File")
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# Create a dedicated placeholder for the processed video.
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viewer_slot = st.empty()
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if example_option != "None":
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if processed_video_data:
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show_autoplay_video(processed_video_data, title="Processed Video")
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else:
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st.info("No processed video available in example.")
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else:
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viewer_slot.info("Processed video will appear here once detection is run.")
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###############################################################################
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# DETECTION: Process the uploaded video if no example is selected.
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###############################################################################
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if example_option == "None" and source_file and source_file.type.split('/')[0] != 'image':
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if st.sidebar.button("Let's Detect Wildfire"):
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# Reset previous processed results.
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st.session_state["processed_frames"] = []
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st.session_state["shortened_video_data"] = None
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st.session_state["shortened_video_ready"] = False
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sample_interval = 1
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output_fps = orig_fps
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success, image = vidcap.read()
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while success:
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if frame_count % sample_interval == 0:
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# ALWAYS display the download button if a processed video is ready.
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###############################################################################
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if st.session_state["shortened_video_ready"] and st.session_state["shortened_video_data"]:
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download_placeholder.download_button(
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label="Download Processed Video",
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data=st.session_state["shortened_video_data"],
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file_name="processed_video.mp4",
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