Honey-Badger-Sales-Helper

Honey Badger Sales Helper is a client app for sales agents that helps them maintain efficiency during calls.

Features

• Recording of customer information

• Live transcription of salesperson and customer

• Realtime analysis of customer emotion and personality

  

• Realtime alerts for inappropriate statements

  

• Summarises the sales call and creates a to-do list

• Option to save or email a record of the sales call

Installation steps

• Download and install python 3.12 from https://www.python.org/downloads/
  • When installing, select "Add python.exe to PATH" and "Disable path length limit"
• Download the source code and extract the contents.
• Download visual studio installer (Community Version) from https://visualstudio.microsoft.com/downloads/
  • Install the components:
    • C++ CMake tools for Windows
      • This includes MSVC v143
    • C++ core features
    • Windows 10/11 SDK
• Download and install CUDA 12.5 from https://developer.nvidia.com/cuda-downloads using the default settings
• Download cuDNN 8.9.7 from https://developer.nvidia.com/downloads/compute/cudnn/secure/8.9.7/local_installers/12.x/cudnn-windows-x86_64-8.9.7.29_cuda12-archive.zip/
  • Extract the zip file, and copy the contents into "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.5", replacing existing files.
• Open a terminal in the project folder and run:
  • $Env:CMAKE_ARGS = "-DGGML_CUDA=ON -DGGML_CUDA_F16=ON -DBUILD_SHARED_LIBS=ON"
  • $Env:FORCE_CMAKE=1
  • pip install llama-cpp-python --force-reinstall --upgrade --no-cache-dir
  • pip install -r requirements.txt"
  • pip install SpeechRecognition[whisper-local]
  • pip install numpy==1.26.4
• Download https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf/resolve/main/Phi-3-mini-4k-instruct-q4.gguf?download=true and move the file into Honey-Badger-Sales-Helper/llm_chat_processors/llm_models/Phi-3-mini-4k-instruct-q4.gguf
• Restart your computer
• run "python -m app" to start the app

Requirements

See requirements.txt for python libraries used. Other requirements:

• cuda toolkit archive 12.5 https://developer.nvidia.com/cuda-downloads
• cuddn for cuda 12.1.0 https://developer.nvidia.com/downloads/compute/cudnn/secure/8.9.7/local_installers/12.x/cudnn-windows-x86_64-8.9.7.29_cuda12-archive.zip/

Credits

• Created with the help of Github Copilot
• Badger Icon generated with Copilot Designer