Metadata-Version: 2.1
Name: jabberwocky
Version: 0.1.9
Summary: Core library powering a GUI providing an audio interface to GPT3.
Home-page: UNKNOWN
Author: Harrison Mamin
Author-email: harrisonmamin@gmail.com
License: UNKNOWN
Description: <p align='center'>
        <img src='https://github.com/hdmamin/jabberwocky/raw/347e1514769264219393abf8a62b1a808cb70421/data/icons/icon.png' height='100'>
        <h1 align='center'>Jabberwocky</h1>
        </p>
        
        https://user-images.githubusercontent.com/40480855/132139847-0d0014b9-022e-4684-80bf-d46031ca4763.mp4
        
        This was not really designed to be used as a standalone library - it was mostly used as a convenient way to structure and import code in other parts of the [project](https://github.com/hdmamin/jabberwocky). Some components may be reusable for other projects combining GPT-3 with audio, however.
        
        # Project Description
        The core library powering a GUI that provides an audio interface to GPT3. We support conversations with most public figures and provide a number of other pre-built tasks including:
        - Summarization
        - Explain like I'm 5
        - Translation
        - How To (step by step instructions for performing everyday tasks)
        - Writing Style Analysis
        - MMA Fight Analysis and Prediction
        - Explain machine learning concepts in simple language
            - Generate ML paper abstracts
        
        ### Examples
        
        In conversation mode, you can chat with a number of pre-defined personas or add new ones:
        
        ![](https://github.com/hdmamin/jabberwocky/raw/347e1514769264219393abf8a62b1a808cb70421/data/clips/demo/add_persona.gif)
        
        In task mode, you can ask GPT3 to perform a number pre-defined tasks. Written and spoken input are both supported. By default, GPT3's response is both displayed in writing and read aloud.
        
        ![](https://github.com/hdmamin/jabberwocky/raw/c48600f88d8127911c96de138ce09f6ef97377eb/data/clips/demo/punctuation.gif)
        Transcripts of responses from a subset of non-conversation tasks can be found in the `data/completions` directory.
        
        ### Project Members
        * Harrison Mamin
        
        ### Repo Structure
        ```
        jabberwocky/
        ├── data         # Raw and processed data. Actual files are excluded from github.
        ├── notes        # Miscellaneous notes stored as raw text files.
        ├── notebooks    # Jupyter notebooks for experimentation and exploratory analysis.
        ├── reports      # Markdown reports (performance reports, blog posts, etc.)
        ├── bin          # Executable scripts to be run from the project root directory.
        ├── lib          # Python package. Code can be imported in analysis notebooks, py scripts, etc.
        └── services     # Serve model predictions through a Flask/FastAPI app.
        ```
        
        ---
        Start of auto-generated file data.<br/>Last updated: 2021-09-12 13:53:34
        
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          <thead>
            <tr style="text-align: right;">
              <th>File</th>
              <th>Summary</th>
              <th>Line Count</th>
              <th>Last Modified</th>
              <th>Size</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>__init__.py</td>
              <td>_</td>
              <td>1</td>
              <td>2021-09-04 13:32:08</td>
              <td>22.00 b</td>
            </tr>
            <tr>
              <td>config.py</td>
              <td>Define constants used throughout the project.</td>
              <td>21</td>
              <td>2021-07-22 20:29:41</td>
              <td>564.00 b</td>
            </tr>
            <tr>
              <td>core.py</td>
              <td>Core functionality that ties together multiple APIs.</td>
              <td>609</td>
              <td>2021-09-06 13:39:53</td>
              <td>24.21 kb</td>
            </tr>
            <tr>
              <td>external_data.py</td>
              <td>Functionality to fetch and work with YouTube transcripts.</td>
              <td>281</td>
              <td>2021-08-06 20:25:01</td>
              <td>9.97 kb</td>
            </tr>
            <tr>
              <td>openai_utils.py</td>
              <td>Utility functions for interacting with the gpt3 api.</td>
              <td>1320</td>
              <td>2021-09-01 20:12:51</td>
              <td>55.00 kb</td>
            </tr>
            <tr>
              <td>speech.py</td>
              <td>Module to help us interact with mac's speech command. This lets the GUI read<br/>responses out loud.</td>
              <td>117</td>
              <td>2021-08-20 21:05:11</td>
              <td>4.16 kb</td>
            </tr>
            <tr>
              <td>utils.py</td>
              <td>General purpose utilities.</td>
              <td>337</td>
              <td>2021-08-04 20:02:18</td>
              <td>10.93 kb</td>
            </tr>
          </tbody>
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Platform: UNKNOWN
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