https://github.com/romanslack/intro-project-1

https://github.com/romanslack/intro-project-1

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/romanslack/intro-project-1
• Owner: RomanSlack
• Created: 2024-09-21T22:42:01.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-22T01:46:52.000Z (almost 2 years ago)
• Last Synced: 2024-10-25T13:26:26.094Z (over 1 year ago)
• Language: Python
• Size: 39.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.txt

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README

          
Silero Chatbot Project

This project integrates a simple chatbot using the LLaMA 3 model with Silero TTS for speech synthesis. The chatbot responds to user inputs using a pre-trained LLaMA 3 model and converts its responses to speech with pitch adjustments using Silero.

Prerequisites:

1. Download and install the Windows version of Ollama: https://ollama.com/

1.2 Download llam3 via Ollama (in cmd - Ollama pull llama3)

2. Ensure Python (preferably version 3.8 or higher) is installed.

3. Install the required packages (listed below).

Setup Instructions:

1. Create a Virtual Environment

   - Open a terminal/command prompt and navigate to your project directory.

   - Run the following command to create a virtual environment:

   

     python -m venv venv

     

   - Activate the virtual environment:

     - On Windows:

       

       venv\Scripts\activate

     - On macOS/Linux:

       

       source venv/bin/activate

2. Install Required Dependencies:

   - You can install all the required packages by using the provided requirements.txt file:

     

     pip install -r requirements.txt

     

   - Or you can install them manually by running:

     

     pip install langchain-ollama

     pip install torch

     pip install sounddevice

     pip install numpy

     pip install librosa

3. Running the Chatbot:

   - Once everything is installed, run the chatbot by typing the following command:

   

     python main.py

Project Overview:

- The chatbot uses the LLaMA 3 model to generate text responses based on user prompts.

- The generated text is passed to Silero TTS, which converts the text to speech.

- Pitch adjustments can be made, and the speech is played back using the sounddevice library.

Requirements:

The following packages are required to run the project:

langchain-ollama

torch

sounddevice

numpy

librosa

Install them by running:

pip install -r requirements.txt

Additional Resources:

- Ollama Documentation: https://ollama.com/docs

- Silero TTS: https://github.com/snakers4/silero-models