๐Ÿ“ฆ LuisSanchez / streamlit-gpt-marketing

A simple GPT with instructions to be a marketing helper hosted in Streamlit

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Luis Manuel Sanchez Marquez Luis Manuel Sanchez Marquez [chore]:Refactor code for improved user experience, adding tests 89fbb26 2 years ago ๐Ÿ“ History
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๐Ÿ“„ .gitignore
๐Ÿ“„ gpt_marketing.py
๐Ÿ“„ LICENSE
๐Ÿ“„ README.md
๐Ÿ“„ requirements.txt
๐Ÿ“„ README.md

Streamlit GPT Marketing App

This app is designed to showcase the capabilities of the Streamlit framework and the GPT-4 Visuaon model for marketing purposes.

Features

  • Upload an image of your website (landing page for example) and ask GPT what improvements could be done in the UX and UI.
  • Generate Marketing Copy: Use the power of GPT-4 (gpt-4-vision-preview) to generate compelling marketing copy for various products and services.
  • Content Suggestions: Get suggestions for blog posts, social media captions, email subject lines, and more.
  • Branding Assistance: Generate taglines, slogans, and brand names to help with your marketing efforts.
  • Language Translation: Translate marketing content into different languages to reach a global audience.
  • Sentiment Analysis: Analyze the sentiment of customer reviews, social media comments, and other text data.
  • Text Summarization: Summarize long articles or documents to extract key information quickly.
  • This GPT uses a very simple prompt to make the assistant a marketing expert but with aims of beign nice in explaining its content.

Getting Started

To run this app locally, follow these steps:

  • Clone the repository: git clone https://github.com/luissanchez/streamlit-gpt-marketing.git
  • Install the required dependencies: pip install -r requirements.txt
  • Run the app: streamlit run gpt_marketing.py

Usage

  • Add your OpenAI Key.
  • Add the URL of an image you want feedback from.
  • Follow the instructions provided on the app interface.
  • Enjoy the generated marketing content or analysis results!

Contributing

Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.