Multilingual Assistant

This Streamlit-based application allows you to interact with a multilingual AI assistant powered by Google Gemini Pro. You can communicate with the assistant through voice commands (using speech recognition) and receive responses in both text and spoken form.

Features

• Voice Input: Speak naturally to the assistant using your microphone.
• Text Generation: The assistant leverages Google Gemini Pro to generate intelligent and contextually relevant responses.
• Text-to-Speech: Hear the assistant's responses in a natural voice.
• Download Speech: Download the assistant's responses as MP3 audio files.

Requirements

• Python 3.7 or higher
• A Google Cloud API key with access to the Gemini Pro model
• The following Python libraries (specified in requirements.txt):
  • SpeechRecognition
  • pipwin
  • pyaudio
  • gTTS
  • google-generativeai
  • python-dotenv
  • streamlit

How to run?

STEPS:

Clone the repository

Project repo: https://github.com/

STEP 01- Create a conda environment after opening the repository

conda create -n llmapp python=3.11 -y

conda activate llmapp

STEP 02- install the requirements

pip install -r requirements.txt

# Finally run the following command
streamlit run app.py

Add your GOOGLE_CLOUD_API_KEY credentials in the Streamlit app. Get your GOOGLE_CLOUD_API_KEY here:

GOOGLE_CLOUD_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"

Techstack Used:

• Python
• Google API
• Streamlit
• Gemini-pro
• s2t
• t2s