Spaces:
Sleeping
Sleeping
added another interface
Browse files- Dockerfile +5 -2
- app.py +48 -72
- utlis.py +85 -2
Dockerfile
CHANGED
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@@ -2,10 +2,13 @@ FROM python:3.9-slim-buster
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir
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pip install --no-cache-dir -r requirements.txt
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RUN apt-get update && apt-get install -y ffmpeg
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WORKDIR /app
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RUN mkdir /app/results_t
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RUN mkdir /app/results_c
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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RUN apt-get update && apt-get install -y ffmpeg
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app.py
CHANGED
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@@ -1,92 +1,68 @@
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import gradio as gr
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import subprocess
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from pathlib import Path
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from utlis import HHMMSS_to_sec
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# options for writing out audio if converting
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WAV_CHANNELS = 1
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WAV_SAMPLE_RATE = 16000
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media_type = Path(media_in).suffix
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ext = Path(media_out).suffix
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start_sec = HHMMSS_to_sec(start)
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else:
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start_sec = float(start)
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if isinstance(end, str):
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end_sec = HHMMSS_to_sec(end)
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else:
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end_sec = float(end)
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if ext == '.wav':
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# convert to wav with standard format for audio models
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print(f'...Using ffmpeg to trim video from {start} to {end} \n and convert to {WAV_SAMPLE_RATE}Hz WAV with {WAV_CHANNELS} channels...')
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print(f'...generating {media_out}...')
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'-y',
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'-i',
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media_in,
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'-ss',
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f'{start_sec}',
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'-to',
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f'{end_sec}',
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'-acodec',
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'pcm_s16le',
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'-ac',
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WAV_CHANNELS,
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'-ar',
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WAV_SAMPLE_RATE,
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media_out,
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'-hide_banner',
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'-loglevel',
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'warning'
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], shell=False)
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else:
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print(f'...Using ffmpeg to trim video from {start_sec} to {end_sec}...')
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print(f'...generating {media_out}...')
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subprocess.call(['ffmpeg',
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'-y',
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'-i',
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media_in,
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'-ss',
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f'{start_sec}',
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'-to',
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f'{end_sec}',
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'-c',
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'copy',
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media_out,
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'-hide_banner',
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'-loglevel',
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'warning'
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], shell=False)
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def convert_video(input_file, output_format, start_time, end_time):
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try:
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# Set output file name and extension
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if start_time == "":
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start_time =
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if end_time == "":
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end_time =
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# Trim the video
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return output_file
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except Exception as e:
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return f"Error: {str(e)}"
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input_file = gr.File(label="Select video file")
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output_format = gr.Dropdown(choices=["mkv", "MOV", "mp4", "wav"], label="Select output format")
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start_time = gr.Textbox(label="Start time (in seconds or HH:MM:SS). Leave blank to start at beginning.")
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end_time = gr.Textbox(label="End time (in seconds or HH:MM:SS). Leave blank to
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output_file = gr.File(label="Download converted file")
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interface = gr.Interface(fn=
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import os
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import gradio as gr
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from pathlib import Path
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from utlis import HHMMSS_to_sec, convert_video_format, trim_media
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def trim_video(input_file, output_format, start_time, end_time):
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try:
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# Set output file name and extension
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output_folder = f"{os.getcwd()}/results_vt/"
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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file_name = f"{Path(input_file.name).stem.partition('.')[0]}_trimmed.{output_format}"
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output_file = os.path.join(output_folder, file_name)
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print(f"Output folder: {output_folder}")
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print(f"file_name: {file_name}")
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print(f"Output file: {output_file}")
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if start_time == "":
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start_time = "00:00:00"
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if end_time == "":
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end_time = "00:05:00"
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# Trim the video
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print("start trimming")
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output_file = trim_media(input_file.name, output_file, start_time, end_time)
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return output_file
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except Exception as e:
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return f"Error: {str(e)}"
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def convert_video(input_file, output_format):
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try:
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# Set output file name and extension
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output_folder = f"{os.getcwd()}/results_ct/"
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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output_file = os.path.join(output_folder, f"{input_file.name.split('.')[0]}.{output_format}")
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print(f"Output folder: {output_folder}")
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print(f"Output file: {output_file}")
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# Convert the video
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print("start converting")
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convert_video_format(input_file.name, output_file)
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return output_file
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except Exception as e:
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return f"Error: {str(e)}"
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# gr components for video trimmer
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input_file = gr.File(label="Select video file")
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output_format = gr.Dropdown(choices=["mkv", "MOV", "mp4", "wav"], label="Select output format")
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start_time = gr.Textbox(label="Start time (in seconds or HH:MM:SS). Leave blank to start at beginning.")
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end_time = gr.Textbox(label="End time (in seconds or HH:MM:SS). Leave blank to trim a 5-minute interval since start.")
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output_file = gr.File(label="Download converted file")
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interface = gr.Interface(fn=trim_video, inputs=[input_file, output_format, start_time, end_time], outputs=output_file, title="Video Trimmer")
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# gr components for video converter
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input_file_c = gr.File(label="Select video file")
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output_format_c = gr.Dropdown(choices=["mkv", "MOV", "mp4", "wav"], label="Select output format")
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output_file_c = gr.File(label="Download converted file")
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interface_c = gr.Interface(fn=convert_video, inputs=[input_file_c, output_format_c], outputs=output_file_c, title="Video Converter")
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demo = gr.TabbedInterface([interface, interface_c], ["Video Trimmer", "Video Converter"])
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demo.launch(server_name="0.0.0.0", server_port=7860)
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utlis.py
CHANGED
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@@ -1,9 +1,92 @@
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import os
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import csv
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import re
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import
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from pathlib import Path
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def HHMMSS_to_sec(time_str):
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"""Get Seconds from timestamp string with milliseconds."""
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if not time_str:
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import csv
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import os
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import re
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import subprocess
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from pathlib import Path
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import pandas as pd
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def convert_video_format(media_in, media_out):
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WAV_CHANNELS = 1
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WAV_SAMPLE_RATE = 16000
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if not isinstance(media_in, (str, Path)):
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raise TypeError("media_in must be a string or a PathLike object")
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if not isinstance(media_out, (str, Path)):
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raise TypeError("media_out must be a string or a PathLike object")
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ext = Path(media_out).suffix
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if ext == '.wav':
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# convert to wav with standard format for audio models
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print(f'...generating {media_out}...')
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subprocess.run(f'ffmpeg -y -i "{media_in}" -acodec pcm_s16le -ac {WAV_CHANNELS} -ar {WAV_SAMPLE_RATE} "{media_out}" -hide_banner -loglevel warning', check=True, shell=True)
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else:
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print(f'...Using ffmpeg to convert {media_in} to {media_out}...')
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print(f'...generating {media_out}...')
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subprocess.run(['ffmpeg',
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'-y',
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'-i',
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media_in,
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'-c',
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'copy',
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media_out,
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'-hide_banner',
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'-loglevel',
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'warning'
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], check=True)
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def trim_media(media_in, media_out, start, end):
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# options for writing out audio if converting
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WAV_CHANNELS = 1
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WAV_SAMPLE_RATE = 16000
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media_type = Path(media_in).suffix
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ext = Path(media_out).suffix
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print("EXT", ext)
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if isinstance(start, str):
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start_sec = HHMMSS_to_sec(start)
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else:
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start_sec = float(start)
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if isinstance(end, str):
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end_sec = HHMMSS_to_sec(end)
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else:
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end_sec = float(end)
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if ext == '.wav':
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# convert to wav with standard format for audio models
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print(f'...Using ffmpeg to trim video from {start} to {end} \n and convert to {WAV_SAMPLE_RATE}Hz WAV with {WAV_CHANNELS} channels...')
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print(f'...generating {media_out}...')
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subprocess.run(f'ffmpeg -y -i "{media_in}" -ss {start_sec} -to {end_sec} -acodec pcm_s16le -ac {WAV_CHANNELS} -ar {WAV_SAMPLE_RATE} "{media_out}" -hide_banner -loglevel warning', check=True, shell=True)
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print(f'...done trimming and converting to {media_out}...')
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return media_out
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else:
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print(f'...Using ffmpeg to trim video from {start_sec} to {end_sec}...')
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print(f'...generating {media_out}...')
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subprocess.run(['ffmpeg',
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'-y',
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'-i',
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media_in,
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'-ss',
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f'{start_sec}',
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'-to',
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f'{end_sec}',
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'-c',
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'copy',
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media_out,
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'-hide_banner',
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'-loglevel',
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'warning'
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], check=True)
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return media_out
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def HHMMSS_to_sec(time_str):
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"""Get Seconds from timestamp string with milliseconds."""
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if not time_str:
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