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r=document.createDocumentFragment();for(;e.firstChild;)r.appendChild(e.removeChild(e.firstChild));t.replaceChild(r,e),this.ie?this.normalizeTextNode(t):t.normalize()}normalizeTextNode(e){if(e){if(e.nodeType===3)for(;e.nextSibling&&e.nextSibling.nodeType===3;)e.nodeValue+=e.nextSibling.nodeValue,e.parentNode.removeChild(e.nextSibling);else this.normalizeTextNode(e.firstChild);this.normalizeTextNode(e.nextSibling)}}markRegExp(e,t){this.opt=t,this.log(`Searching with expression "${e}"`);let r=0,n="wrapMatches";const a=i=>{r++,this.opt.each(i)};this.opt.acrossElements&&(n="wrapMatchesAcrossElements"),this[n](e,this.opt.ignoreGroups,(i,s)=>this.opt.filter(s,i,r),a,()=>{r===0&&this.opt.noMatch(e),this.opt.done(r)})}mark(e,t){this.opt=t;let r=0,n="wrapMatches";const{keywords:a,length:i}=this.getSeparatedKeywords(typeof e=="string"?[e]:e),s=this.opt.caseSensitive?"":"i",u=l=>{let h=new RegExp(this.createRegExp(l),`gm${s}`),d=0;this.log(`Searching with expression 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t,r,n=this._options.autoVacuum;try{this._options.autoVacuum=!1;try{for(var a=D(e),i=a.next();!i.done;i=a.next()){var s=i.value;this.discard(s)}}catch(u){t={error:u}}finally{try{i&&!i.done&&(r=a.return)&&r.call(a)}finally{if(t)throw t.error}}}finally{this._options.autoVacuum=n}this.maybeAutoVacuum()},o.prototype.replace=function(e){var t=this._options,r=t.idField,n=t.extractField,a=n(e,r);this.discard(a),this.add(e)},o.prototype.vacuum=function(e){return e===void 0&&(e={}),this.conditionalVacuum(e)},o.prototype.conditionalVacuum=function(e,t){var r=this;return this._currentVacuum?(this._enqueuedVacuumConditions=this._enqueuedVacuumConditions&&t,this._enqueuedVacuum!=null?this._enqueuedVacuum:(this._enqueuedVacuum=this._currentVacuum.then(function(){var n=r._enqueuedVacuumConditions;return 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Why ProToPortal.jl?

Coding and prompt management should be efficient, not a chore.

ProToPortal.jl was born from a need to make my own coding efforts and general LLM interactions more productive and hassle-free. It's designed to help you manage and automate your workflows more effectively, whether you're on the go or at your desk.

It's the first Julia-focused GUI (evaluate Julia code, fix it, critique it - or automate it).

Quick Start Guide

Clone ProToPortal, instantiate it, enable your desired settings, and streamline your LLM interactions right away:

julia
# as a quick hack if you don't have your environment variables set up, run the below line with your OpenAI key
+# ENV["OPENAI_API_KEY"] = "<your_openai_api_key>"
+ENV["DATADEPS_ALWAYS_ACCEPT"] = "true"  # required for caching
+using ProToPortal
+launch(; cached = true)

Then head to your browser and go to http://127.0.0.1:8000 to see the app.

For more information, see the Getting Started section. Explore all available features in the Features by Tab section.


Ready to transform your coding productivity? Explore ProToPortal.jl now and start working smarter.

It's easy to deploy to Fly.io, so you can use it on the go. Open an issue if you would like me to publish a tutorial.
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Documentation for ProToPortal.

Welcome to ProToPortal, your portal to the magic of PromptingTools.jl! ProToPortal is a personal project designed to enhance productivity, potentially yours too!

Given it's a UI-rich application, it will contain many bugs I'm unaware of — let me know!

This application is still in development. Use at your own risk.

Getting Started

This guide assumes that you have already set up PromptingTools.jl! At the very least, you need to have OPENAI_API_KEY set in your environment.

  1. Clone the repository

  2. Run the following command to install the necessary dependencies:

julia
using Pkg; Pkg.activate("."); Pkg.instantiate(".")
  1. Launch the GUI
julia
# as a quick hack if you don't have your environment variables set up, run the below line with your OpenAI key
+# ENV["OPENAI_API_KEY"] = "<your_openai_api_key>"
+ENV["DATADEPS_ALWAYS_ACCEPT"] = "true"  # required for caching
+using ProToPortal
+launch(; cached = true)

Then head to your browser and go to http://127.0.0.1:8000 to see the app.

It will now cache similar LLM requests by default (disable with cached=false in launch() function).

For the purists: simply run julia --project -t auto main.jl in your terminal (once installed)!

How to start? Type Say hi! in the question box on the Chat tab and click Submit (or press CTRL+ENTER).

Preview:

Motivation

Imagine you're walking your dog and suddenly come up with a brilliant idea for a code snippet you need urgently.

Using ChatGPT on your phone is feasible, but slow and cumbersome—typing out or dictating a precise prompt can be a real hassle, not to mention you can't close the app or run the code to see if it works.

Enter ProToPortal: Select the JuliaExpertAsk template, use speech-to-text on your phone to dictate your needs, enable auto-fixing with Monte-Carlo Tree Search (airetry!), and watch as your phone processes 6 iterations of the code before ChatGPT generates its first response!

For a preview, see the video: docs/src/videos/screen-capture-code-fixing.mp4

Key Highlights

  • Accessible Anywhere: Use it on any device—laptop, phone, etc.—with numerous prompt templates designed to save your keystrokes.

  • Code Evaluation and Fixing: The only GUI that lets you evaluate and fix your Julia code directly, saving you from the hassle of copy-pasting.

  • Automatic Replies: Automate standard replies to refine responses, either through fixed messages or critic templates mimicking a separate agent.

Features by Tab

Login Page

  • Comes with a simple login if you want to deploy it (Fly.io works like a charm!)

  • Ignore the password when deploying locally (enter an empty password).

Chat Tab

  • Advanced Settings:

    • Rewind conversations by deleting messages you dislike or to restart the conversation.

    • Control creativity with model temperature settings.

    • Enable code evaluation (AICode) and auto-fixing using advanced algorithms like airetry! and Monte-Carlo Tree search.

    • Automate replies with pre-configured templates (~critic agents) or custom messages.

  • Templates:

    • Begin conversations from a template, opening new input fields interpolated into text variables.

    • Add your templates by placing them in the templates/ folder for automatic loading.

  • Chat:

    • Submit your question by clicking "Submit" or via CTRL+ENTER.

    • Edit any message in the conversation (simply click on it and make a change).

    • Delete unwanted messages with ease (accidental deletions made difficult by hiding the button in the "Advanced Settings").

    • Copy the text of any message (see top right corner icon).

    • Start "new chat" with conversations automatically saved both on disk and in history.

History Tab

  • Browse and load past conversations with a simple click.

  • Fork past conversations for continued exploration without altering the original history.

  • View the current session or reload to fetch all saved conversations.

Templates Tab

  • Explore all available templates with previews and metadata to select the most suitable one.

  • Search functionality for quick filtering by partial names or keywords.

Configuration Tab

  • Change the default model or add new ones from PromptingTools.

  • Modify the default system prompt used when not employing a template.

Meta-Prompting Tab

  • An experimental meta-prompting experience based on arxiv.

  • The model calls different "experts" to solve the provided tasks.

Prompt Builder Tab

  • Generate prompt templates (for use in Chat) from a brief description of a task.

  • Generate multiple templates at once to choose from.

  • Iterate all of them by providing more inputs in the text field.

  • Once you're done, click "Apply in Chat" to jump to the normal chat (use as any other template, eg, fill in variables at the top).

And rich logging in the REPL to see what the GUI is doing under the hood!

Alternatives

ProToPortal is a simple personal project and it cannot compete with established LLM GUIs!

If you're looking for more robust software, consider the following tools:

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Please open an issue first, because this is first and foremost a simple tool to interact with LLMs on-the-go.

Acknowledgments

This project would not be possible without the amazing Stipple.jl from the Genie.jl family! It's just a Stipple.jl wrapper around PromptingTools.jl.

',47),r=[n];function l(p,h,d,u,c,g){return a(),t("div",null,r)}const k=e(s,[["render",l]]);export{b as __pageData,k as default}; diff --git a/previews/PR16/assets/introduction.md.DBhR9UlE.lean.js b/previews/PR16/assets/introduction.md.DBhR9UlE.lean.js new file mode 100644 index 0000000..1d8933d --- /dev/null +++ b/previews/PR16/assets/introduction.md.DBhR9UlE.lean.js @@ -0,0 +1 @@ +import{_ as e,c as t,o as a,a7 as i}from"./chunks/framework.DCO-tCIO.js";const o="/svilupp.github.io/ProToPortal.jl/previews/PR16/assets/screen-capture-plain.CMx6SdfL.gif",b=JSON.parse('{"title":"ProToPortal","description":"","frontmatter":{},"headers":[],"relativePath":"introduction.md","filePath":"introduction.md","lastUpdated":null}'),s={name:"introduction.md"},n=i("",47),r=[n];function l(p,h,d,u,c,g){return a(),t("div",null,r)}const k=e(s,[["render",l]]);export{b as __pageData,k as default}; diff --git a/previews/PR16/assets/reference.md.IBBQ6SU5.js b/previews/PR16/assets/reference.md.IBBQ6SU5.js new file mode 100644 index 0000000..32913b8 --- /dev/null +++ b/previews/PR16/assets/reference.md.IBBQ6SU5.js @@ -0,0 +1 @@ +import{_ as e,c as r,o,a7 as a}from"./chunks/framework.DCO-tCIO.js";const f=JSON.parse('{"title":"Reference for ProToPortal.jl","description":"","frontmatter":{},"headers":[],"relativePath":"reference.md","filePath":"reference.md","lastUpdated":null}'),t={name:"reference.md"},l=a('

Reference for ProToPortal.jl

# ProToPortal.autofix_codeMethod.

Runs one iteration of airetry!

source


# ProToPortal.build_lazy_aicallMethod.

Constructs AIGenerate call that mimics if it was just executed

source


# ProToPortal.evaluate_codeMethod.

Code evaluator. Returns the evaluted code block (AICode) and the feedback string.

source


# ProToPortal.label_conversationMethod.

Labels the conversation based on the transcript

source


# ProToPortal.prepare_conversationFunction.

Prepares the conversation for sending to the LLM

source


# ProToPortal.send_to_modelMethod.

Sends the conversation to the LLM.

source


# ProToPortal.send_to_modelMethod.

Sends the conversation to the Auto-Critic Template for evaluation and suggestions

source


# ProToPortal.send_to_modelMethod.

Sends the conversation to the LLM.

source


# ProToPortal.conversation2transcriptMethod.

Flattens the full conversation for critic to use

source


# ProToPortal.load_conversations_from_dirMethod.

Loads all conversations from a directory (or its sub-directories)

source


# ProToPortal.parse_builderMethod.

Parses prompt builder's response to get the instructions and inputs

source


# ProToPortal.parse_criticMethod.

Parses critic's response to get the suggestions and whether they requested to stop

source


# ProToPortal.render_messagesFunction.

Returns rendered messages, check if messages need updating as we might have changed the display

source


# ProToPortal.render_template_messagesMethod.

Renders template displayed messages

source


# ProToPortal.template_variablesMethod.

Extracts the variables from the template name (if found)

source


# ProToPortal.update_message!Method.

Updates the message in the display, if needed

source


# ProToPortal.update_messageMethod.

Updates the provided message with the new content (creates a new object)

source


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+ + + + + + +

    Skip to content

    ProToPortal.jl

    The Portal to the Magic of PromptingTools and Julia-first LLM Coding.

    Portal Icon

    Why ProToPortal.jl?

    Coding and prompt management should be efficient, not a chore.

    ProToPortal.jl was born from a need to make my own coding efforts and general LLM interactions more productive and hassle-free. It's designed to help you manage and automate your workflows more effectively, whether you're on the go or at your desk.

    It's the first Julia-focused GUI (evaluate Julia code, fix it, critique it - or automate it).

    Quick Start Guide

    Clone ProToPortal, instantiate it, enable your desired settings, and streamline your LLM interactions right away:

    julia
    # as a quick hack if you don't have your environment variables set up, run the below line with your OpenAI key
    +# ENV["OPENAI_API_KEY"] = "<your_openai_api_key>"
    +ENV["DATADEPS_ALWAYS_ACCEPT"] = "true"  # required for caching
    +using ProToPortal
    +launch(; cached = true)

    Then head to your browser and go to http://127.0.0.1:8000 to see the app.

    For more information, see the Getting Started section. Explore all available features in the Features by Tab section.


    Ready to transform your coding productivity? Explore ProToPortal.jl now and start working smarter.

    It's easy to deploy to Fly.io, so you can use it on the go. Open an issue if you would like me to publish a tutorial.
    + + + + \ No newline at end of file diff --git a/previews/PR16/introduction.html b/previews/PR16/introduction.html new file mode 100644 index 0000000..dee303f --- /dev/null +++ b/previews/PR16/introduction.html @@ -0,0 +1,29 @@ + + + + + + ProToPortal | ProToPortal.jl + + + + + + + + + + + + + + +
    Skip to content

    ProToPortal

    Documentation for ProToPortal.

    Welcome to ProToPortal, your portal to the magic of PromptingTools.jl! ProToPortal is a personal project designed to enhance productivity, potentially yours too!

    Given it's a UI-rich application, it will contain many bugs I'm unaware of — let me know!

    This application is still in development. Use at your own risk.

    Getting Started

    This guide assumes that you have already set up PromptingTools.jl! At the very least, you need to have OPENAI_API_KEY set in your environment.

    1. Clone the repository

    2. Run the following command to install the necessary dependencies:

    julia
    using Pkg; Pkg.activate("."); Pkg.instantiate(".")
    1. Launch the GUI
    julia
    # as a quick hack if you don't have your environment variables set up, run the below line with your OpenAI key
    +# ENV["OPENAI_API_KEY"] = "<your_openai_api_key>"
    +ENV["DATADEPS_ALWAYS_ACCEPT"] = "true"  # required for caching
    +using ProToPortal
    +launch(; cached = true)

    Then head to your browser and go to http://127.0.0.1:8000 to see the app.

    It will now cache similar LLM requests by default (disable with cached=false in launch() function).

    For the purists: simply run julia --project -t auto main.jl in your terminal (once installed)!

    How to start? Type Say hi! in the question box on the Chat tab and click Submit (or press CTRL+ENTER).

    Preview:

    Motivation

    Imagine you're walking your dog and suddenly come up with a brilliant idea for a code snippet you need urgently.

    Using ChatGPT on your phone is feasible, but slow and cumbersome—typing out or dictating a precise prompt can be a real hassle, not to mention you can't close the app or run the code to see if it works.

    Enter ProToPortal: Select the JuliaExpertAsk template, use speech-to-text on your phone to dictate your needs, enable auto-fixing with Monte-Carlo Tree Search (airetry!), and watch as your phone processes 6 iterations of the code before ChatGPT generates its first response!

    For a preview, see the video: docs/src/videos/screen-capture-code-fixing.mp4

    Key Highlights

    • Accessible Anywhere: Use it on any device—laptop, phone, etc.—with numerous prompt templates designed to save your keystrokes.

    • Code Evaluation and Fixing: The only GUI that lets you evaluate and fix your Julia code directly, saving you from the hassle of copy-pasting.

    • Automatic Replies: Automate standard replies to refine responses, either through fixed messages or critic templates mimicking a separate agent.

    Features by Tab

    Login Page

    • Comes with a simple login if you want to deploy it (Fly.io works like a charm!)

    • Ignore the password when deploying locally (enter an empty password).

    Chat Tab

    • Advanced Settings:

      • Rewind conversations by deleting messages you dislike or to restart the conversation.

      • Control creativity with model temperature settings.

      • Enable code evaluation (AICode) and auto-fixing using advanced algorithms like airetry! and Monte-Carlo Tree search.

      • Automate replies with pre-configured templates (~critic agents) or custom messages.

    • Templates:

      • Begin conversations from a template, opening new input fields interpolated into text variables.

      • Add your templates by placing them in the templates/ folder for automatic loading.

    • Chat:

      • Submit your question by clicking "Submit" or via CTRL+ENTER.

      • Edit any message in the conversation (simply click on it and make a change).

      • Delete unwanted messages with ease (accidental deletions made difficult by hiding the button in the "Advanced Settings").

      • Copy the text of any message (see top right corner icon).

      • Start "new chat" with conversations automatically saved both on disk and in history.

    History Tab

    • Browse and load past conversations with a simple click.

    • Fork past conversations for continued exploration without altering the original history.

    • View the current session or reload to fetch all saved conversations.

    Templates Tab

    • Explore all available templates with previews and metadata to select the most suitable one.

    • Search functionality for quick filtering by partial names or keywords.

    Configuration Tab

    • Change the default model or add new ones from PromptingTools.

    • Modify the default system prompt used when not employing a template.

    Meta-Prompting Tab

    • An experimental meta-prompting experience based on arxiv.

    • The model calls different "experts" to solve the provided tasks.

    Prompt Builder Tab

    • Generate prompt templates (for use in Chat) from a brief description of a task.

    • Generate multiple templates at once to choose from.

    • Iterate all of them by providing more inputs in the text field.

    • Once you're done, click "Apply in Chat" to jump to the normal chat (use as any other template, eg, fill in variables at the top).

    And rich logging in the REPL to see what the GUI is doing under the hood!

    Alternatives

    ProToPortal is a simple personal project and it cannot compete with established LLM GUIs!

    If you're looking for more robust software, consider the following tools:

    Contributing

    Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Please open an issue first, because this is first and foremost a simple tool to interact with LLMs on-the-go.

    Acknowledgments

    This project would not be possible without the amazing Stipple.jl from the Genie.jl family! It's just a Stipple.jl wrapper around PromptingTools.jl.

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    Skip to content

    Reference for ProToPortal.jl

    # ProToPortal.autofix_codeMethod.

    Runs one iteration of airetry!

    source


    # ProToPortal.build_lazy_aicallMethod.

    Constructs AIGenerate call that mimics if it was just executed

    source


    # ProToPortal.evaluate_codeMethod.

    Code evaluator. Returns the evaluted code block (AICode) and the feedback string.

    source


    # ProToPortal.label_conversationMethod.

    Labels the conversation based on the transcript

    source


    # ProToPortal.prepare_conversationFunction.

    Prepares the conversation for sending to the LLM

    source


    # ProToPortal.send_to_modelMethod.

    Sends the conversation to the LLM.

    source


    # ProToPortal.send_to_modelMethod.

    Sends the conversation to the Auto-Critic Template for evaluation and suggestions

    source


    # ProToPortal.send_to_modelMethod.

    Sends the conversation to the LLM.

    source


    # ProToPortal.conversation2transcriptMethod.

    Flattens the full conversation for critic to use

    source


    # ProToPortal.load_conversations_from_dirMethod.

    Loads all conversations from a directory (or its sub-directories)

    source


    # ProToPortal.parse_builderMethod.

    Parses prompt builder's response to get the instructions and inputs

    source


    # ProToPortal.parse_criticMethod.

    Parses critic's response to get the suggestions and whether they requested to stop

    source


    # ProToPortal.render_messagesFunction.

    Returns rendered messages, check if messages need updating as we might have changed the display

    source


    # ProToPortal.render_template_messagesMethod.

    Renders template displayed messages

    source


    # ProToPortal.template_variablesMethod.

    Extracts the variables from the template name (if found)

    source


    # ProToPortal.update_message!Method.

    Updates the message in the display, if needed

    source


    # ProToPortal.update_messageMethod.

    Updates the provided message with the new content (creates a new object)

    source


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