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📝 Docs: Updated README.md.

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@@ -439,9 +439,9 @@ Additionally, StreamGear generates a manifest file _(such as MPD for DASH)_ or a
**StreamGear primarily works in two Independent Modes for transcoding which serves different purposes:**
- **Single-Source Mode :cd: :** In this mode, StreamGear **transcodes entire video file** _(as opposed to frame-by-frame)_ into a sequence of multiple smaller chunks/segments for streaming. This mode works exceptionally well when you're transcoding long-duration lossless videos(with audio) for streaming that required no interruptions. But on the downside, the provided source cannot be flexibly manipulated or transformed before sending onto FFmpeg Pipeline for processing. **_Learn more about this mode [here ➶][ss-mode-doc]_**
- **Single-Source Mode 💿 :** In this mode, StreamGear **transcodes entire video file** _(as opposed to frame-by-frame)_ into a sequence of multiple smaller chunks/segments for streaming. This mode works exceptionally well when you're transcoding long-duration lossless videos(with audio) for streaming that required no interruptions. But on the downside, the provided source cannot be flexibly manipulated or transformed before sending onto FFmpeg Pipeline for processing. **_Learn more about this mode [here ➶][ss-mode-doc]_**
- **Real-time Frames Mode :film_frames: :** In this mode, StreamGear directly **transcodes frame-by-frame** _(as opposed to a entire video file)_, into a sequence of multiple smaller chunks/segments for streaming. This mode works exceptionally well when you desire to flexibility manipulate or transform [`numpy.ndarray`](https://numpy.org/doc/1.18/reference/generated/numpy.ndarray.html#numpy-ndarray) frames in real-time before sending them onto FFmpeg Pipeline for processing. But on the downside, audio has to added manually _(as separate source)_ for streams. **_Learn more about this mode [here ➶][rtf-mode-doc]_**
- **Real-time Frames Mode 🎞️ :** In this mode, StreamGear directly **transcodes frame-by-frame** _(as opposed to a entire video file)_, into a sequence of multiple smaller chunks/segments for streaming. This mode works exceptionally well when you desire to flexibility manipulate or transform [`numpy.ndarray`](https://numpy.org/doc/1.18/reference/generated/numpy.ndarray.html#numpy-ndarray) frames in real-time before sending them onto FFmpeg Pipeline for processing. But on the downside, audio has to added manually _(as separate source)_ for streams. **_Learn more about this mode [here ➶][rtf-mode-doc]_**
### StreamGear API Guide: