Giter VIP home page Giter VIP logo

sales_buildfastwithai's Introduction

Sales Pitch Generator

Welcome to the Sales Pitch Generator! This Streamlit app leverages OpenAI's powerful GPT-4 model to generate tailored sales pitches based on user input.

Features

  • Easy-to-use interface: Simply enter the course information, name, and occupation to generate a customized sales pitch.
  • Powerful AI model: Utilizes OpenAI's GPT-4 model to create professional and compelling sales pitches.
  • Detailed output: The sales pitch includes specific applications of Generative AI in the provided occupation, recent innovations, and convincing points on how the course will benefit the user's career.

Installation

To run the Sales Pitch Generator locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/VedantDeshmukh1/Sales_BuildFastwithAI
  2. Install the required packages:

    pip install -qU streamlit langchain langchain-openai
  3. Set up your OpenAI API key:

    • Create a file named .streamlit/secrets.toml in the root of your project directory.
    • Add your OpenAI API key in the secrets.toml file:
      [secrets]
      OPENAI_API_KEY = "your-openai-api-key"
  4. Run the Streamlit app:

    streamlit run app.py

Usage

  1. Open the app in your browser by navigating to the URL provided in the terminal after running the above command.
  2. Fill in the required fields:
    • Course Information: Enter the details of the crash course "Build Fast with AI".
    • Name: Enter the name of the persona.
    • Occupation: Enter the occupation of the persona.
  3. Click the Generate Sales Pitch button to generate a sales pitch.

Example

Below is an example of how the inputs and outputs look in the app:

Inputs

  • Course Information:
    This crash course covers the fundamentals of Generative AI, including practical applications in various fields, recent innovations, and how to leverage AI tools for career advancement.
    
  • Name: Vedant
  • Occupation: Intern

Output

Sales Pitch

  • How is Generative AI applicable in Intern field:

    • Automates repetitive tasks.
    • Enhances research capabilities.
    • Assists in creating content.
  • Applications of Generative AI in general:

    • Content creation.
    • Data analysis.
    • Predictive analytics.
  • Recent Generative AI innovations in Intern:

    • AI-powered research tools.
    • Automated data entry systems.
    • Intelligent content recommendation engines.
  • Convince how this course will help them boost their career in Intern:

    • Gain hands-on experience with AI tools.
    • Enhance problem-solving skills.
    • Increase employability with AI expertise.

Contributing

We welcome contributions! Please open an issue or submit a pull request on GitHub.

License

This project is licensed under the MIT License.

Contact

For any inquiries or support, please contact [[email protected]].


Thank you for using the Sales Pitch Generator! Hope it helps you create compelling and effective sales pitches effortlessly.

sales_buildfastwithai's People

Contributors

vedantdeshmukh1 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.