Update README.md

README.md

@@ -9,56 +9,3 @@ app_file: app.py
 pinned: false
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-Video Transcoder
-This project provides a hugging face gradio space that takes a video file and transcodes it to m3u8 using ffmpeg. The transcoded m3u8 file can then be exported and downloaded.
-
-Requirements
-ffmpeg
-gradio
-Usage
-To use the video transcoder, first install the requirements:
-
-pip install -r requirements.txt
-
-Code snippet
-
-Then, run the following command to launch the gradio space:
-
-Use code with caution. Learn more
-gradio.Interface(transcode_video).launch()
-
-The gradio space will take a video file as input and transcode it to m3u8 using ffmpeg. The transcoded m3u8 file can then be exported and downloaded.
-
-Example
-The following example shows how to use the video transcoder to transcode a video file to m3u8:
-
-import gradio as gr
-import ffmpeg
-
-@gr.experimental()
-def transcode_video(video_file):
-"""Transcodes a video file to m3u8 using ffmpeg.
-
-Args:
-video_file: The path to the video file to transcode.
-
-Returns:
-The path to the transcoded m3u8 file.
-"""
-
-Create an output file.
-output_file = "output.m3u8"
-
-Transcode the video file.
-ffmpeg.input(video_file).output(output_file).run()
-
-Return the path to the transcoded file.
-return output_file
-
-gr.Interface(transcode_video).launch()
-
-To transcode a video file, first select the video file from your computer. Then, click the "Transcode" button. The transcoded m3u8 file will be saved to your computer.
-
-License
-This project is licensed under the MIT License.
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference