Sales_AI_Agent

This is a project that i started out to help a VC build a AI agent who communicates through audio only The agent represents a automotive showroom agent and helps with your queries about your next car. (Watch out, it's pretty realistic and will try to sell you the pricier one!!)

Features

• Conversation Starter: Begin a conversation with the AI assistant.
• Audio to Text: Transcribe audio to text using an OpenAI model.
• Fast Inference: Generate responses quickly with Groq.
• SQL Agent: Generates SQL query to query the PostgreSQL instance to retrieve top_k records ordered by price, desc. Then create the response
• Text to Speech: Convert text back to speech using gTTS.
• Frontend Design: Design the frontend interface using Streamlit.

Features

This is just to showcase what I could pull together in a few weaks. There is a cleaner way to build this with Langgraph and Im learning the best practices

Installation

1. Clone the repository:

   git clone https://github.com/AMX0013/Sales_AI_agent.git
   
   

2. Create and activate virtual environment:

   python -m venv venv
   venv/Scripts/activate

3. Install the required libraries:

   pip install -r requirements.txt

Running the Application

1. Create a .env file using .env-example as a template:

   cp .env-example .env

2. Run the main application script:

   streamlit run src/app.py

Actively looking out for a job

Hire me!!