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Peper-Analysis

Peper-Analysis_logo

An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.

How to install and run the app?

We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order to run the app.

Installation

  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.
    Navigate to the root directory of the project and run the following: 
    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's. Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.
    Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.
    Navigate to the root directory of the project and run the following: 
    pipenv install
  6. Good Job! Now you are all setup to run the app.

Running

  • Navigate to the root directory of the project and run the following:

    node index.js [path_to_the_python_executable]

  • You can get your path_to_the_python_executable by running:

    pipenv --venv

This will return a path, add /bin/python to this path and this whole string pass to node index.js.

  • For a shortcut you can try running this: 
    node index.js $(pipenv --venv)/bin/python

Built With

  • Node.js - The back-end framework used

Contributing

Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE file for details

About

No description, website, or topics provided.

Resources

Readme
MIT license
Activity
Custom properties

Stars

0 stars

Watchers

2 watching

Forks

1 fork
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Peper-Analysis
Peper-Analysis_logo
An intelligent analyzer and visualizer of natural language reviews from AirBNB and TripAdvisor.
How to install and run the app?
We are using Python and JavaScript as main programming languages, so we will have to setup both sides in order
to run the app.
Installation
  1. Since our back-end is written using Node.js, you will need to download it from here.
  2. Once you have Node.js you will need to install the packages we used to build this project, specified in package.json.

    Navigate to the root directory of the project and run the following:

    npm install
  3. Now, that we are done with JavaScript's dependencies, lets continue with Python's.
Of course you will need to download the Python programming language. You can do so from here.
  4. Now, because we are using virtual environment to manage our dependencies, you will need to download Pipenv.

     Check out here to understand how to do so.
  5. Once you have installed Pipenv you are ready to install the requirements specified in the Pipfile.

    Navigate to the root directory of the project and run the following:

    pipenv install
  6. Good Job! Now you are all setup to run the app.
Running
  • Navigate to the root directory of the project and run the following:
    node index.js [path_to_the_python_executable]
  • You can get your path_to_the_python_executable by running:
    pipenv --venv
This will return a path, add /bin/python to this path and this whole string pass to node index.js.
  • For a shortcut you can try running this:

    node index.js $(pipenv --venv)/bin/python
Built With
  • Node.js - The back-end framework used
Contributing
Please read [CONTRIBUTING.md] for details on our code of conduct, and the process for submitting pull requests to us.
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
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