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LLM Playground

Introduction

This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do! - LinkBlink: Upload a URL and summarize the content on the website. - PDF Search: Upload a single PDF and ask it questions one at a time.
- ChatPDFs: Upload multiple PDFs and have a conversation with them.
- SciFi StoryTime: Upload an image, get a story. - AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.
- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.

Dependencies

Install:

  1. Clone the repository to your local machine.

  2. Create VM

Using conda:

cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env

  1. Install the required dependencies by running the following command:

    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:

OPENAI_API_KEY=your_api_key_here

Usage

Steps:

  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.

  2. Run the main.py file using the Streamlit CLI. Execute the following command:

    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.

  4. Loa.....

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
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Contributors

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, '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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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, '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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
LLM Playground
Introduction
This is a collection of silly AI apps built with Streamlit. It provides some examples of what LLMs can do!
- LinkBlink: Upload a URL and summarize the content on the website.
- PDF Search: Upload a single PDF and ask it questions one at a time.

- ChatPDFs: Upload multiple PDFs and have a conversation with them.

- SciFi StoryTime: Upload an image, get a story.
- AutoRnD: An agent that automates the collection and generation of research ideas from Twitter.

- Script Generator: An agent that uses sequential chains of prompts generate Youtube script summary.
Dependencies
Install:
  1. Clone the repository to your local machine.
  2. Create VM
Using conda:
cd multi-pdf-chat
conda create -n mpc-env python=3.9
conda activate mpc-env
  1. Install the required dependencies by running the following command:
    pip install -r requirements.txt

  2. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
Usage
Steps:
  1. Ensure that you have installed the required dependencies and added the OpenAI API key to the .env file.
  2. Run the main.py file using the Streamlit CLI. Execute the following command:
    streamlit run app.py

  3. The application will launch in your default web browser, displaying the user interface.
  4. Loa.....
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages