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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

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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" + '
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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

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('^' + ".*" + '
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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

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

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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

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

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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

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

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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

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

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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

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AI Copywriting Assistant

An AI-powered copywriting assistant that generates marketing copy using Google's Gemini and ElevenLabs APIs.

Overview

This application helps marketers and content creators generate professional marketing copy for various campaign types. It uses Google's Gemini AI for text generation and ElevenLabs for voice command processing.

Features

  • Context-Aware Copy Generation: Upload brand guidelines, product information, or other context documents in PDF or TXT format
  • Multiple Campaign Types: Generate copy for:
    • Welcome Emails
    • First Visit
    • Intro Offers
    • Lapsed Users
    • Membership Upsells
  • Voice Command Refinements: Upload audio files to refine your copy using voice commands
  • Structured Output: All generated copy includes subject lines, preview text, headlines, body copy, and CTAs

Prerequisites

Setup

  1. Clone this repository
  2. Copy .env.example to .env and fill in your API keys:
    cp .env.example .env
    
  3. Install dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    python app.py
    
  5. Access the web interface at http://localhost:5000 or use the public URL provided by Gradio

Usage Guide

  1. Upload Context: Start by uploading brand context files (PDF or TXT) to provide the AI with information about your brand, products, or services
  2. Select Campaign Type: Choose the type of marketing copy you want to generate from the available tabs
  3. Generate Copy: Click the "Generate" button to create copy based on your context and selected campaign type
  4. Refine with Voice: Optionally, upload an audio file with verbal instructions to refine the generated copy

Project Structure

  • app.py: Main application file with Gradio UI setup
  • utils.py: Utility functions for API interactions and file processing
  • .env: Environment variables for API keys (not committed to version control)
  • requirements.txt: Python dependencies

Troubleshooting

  • API Key Issues: Ensure your API keys are correctly set in the .env file
  • PDF Processing: Make sure the PDF files are text-based and not scanned images
  • Voice Commands: Audio files should be clear and in MP3 or WAV format

Security Notes

  • Never commit your .env file with real API keys to public repositories
  • The application uses environment variables to keep API keys secure

License

[Your license information here]

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