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huggingface README update.

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  # Google Meet Transcript AI Notes
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  ## Description
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- A python script designed to create relevant notes from a transcript of a Google Meet meeting. Currently, with the proper,
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  options configured, Google Meet will automatically create an AI transcript of your meetings which is saved to Google Drive.
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- Often it is more useful to see just the notes from a meeting rather than the full transcript. This script uses OpenAI
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  prompts to create a detailed summary of the meeting from the transcript, as if it was taking notes in real time during
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  the meeting.
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  You will need an OpenAI API key to use this project.
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  ## Installation
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- Run the setup.py file to install the requirements and create the config.ini file
 
 
 
 
 
 
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- # Usage
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- Ensure your transcript is a .txt file.
 
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- Configure the name of your transcript and the name of the output notes file in the config.ini file. Run the main.py script.
 
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+ ---
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+ title: Google Meet Transcript Notetaker
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+ emoji: πŸ“
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+ colorFrom: blue
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+ colorTo: purple
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+ sdk: streamlit
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+ sdk_version: 1.24.0
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+ app_file: app.py
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+ pinned: false
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+ ---
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+
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  # Google Meet Transcript AI Notes
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  ## Description
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+ A Streamlit app designed to create relevant notes from a transcript of a Google Meet meeting. Currently, with the proper,
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  options configured, Google Meet will automatically create an AI transcript of your meetings which is saved to Google Drive.
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+ Often it is more useful to see just the notes from a meeting rather than the full transcript. This app uses OpenAI
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  prompts to create a detailed summary of the meeting from the transcript, as if it was taking notes in real time during
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  the meeting.
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  You will need an OpenAI API key to use this project.
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+ ## Hugging Face Space
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+
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+ This a demo of this app is hosted as a [Hugging Face Space](https://huggingface.co/spaces/ericbotti/transcript-notetaker).
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+
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  ## Installation
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+ install the requirements from the requirements.txt using:
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+
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+ ``
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+ pip install -r requirements.txt
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+ ``
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+
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+ ## Usage
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+ Enter your API key in the text input field, and upload your transcript as a .txt file.
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+ You should then be able to press the "Create Notes" button which will then start summarization process.
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+ This can take a few minutes, depending on the size of your file.
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+ When completed the notes will display on the app, and you will be able to download them in a file called "notes.md"