https://github.com/nitindavegit/foodchatbot-ai-assistant
ood Ordering Assistant is a conversational chatbot powered by Dialogflow and FastAPI backend. It allows users to add, remove, view, and complete food orders through natural language interactions, making food ordering simple and intuitive.
https://github.com/nitindavegit/foodchatbot-ai-assistant
dialogflow fastapi ngrok postgresql python
Last synced: about 1 month ago
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ood Ordering Assistant is a conversational chatbot powered by Dialogflow and FastAPI backend. It allows users to add, remove, view, and complete food orders through natural language interactions, making food ordering simple and intuitive.
- Host: GitHub
- URL: https://github.com/nitindavegit/foodchatbot-ai-assistant
- Owner: nitindavegit
- Created: 2025-06-07T16:22:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-07T17:20:14.000Z (about 1 year ago)
- Last Synced: 2025-06-07T17:33:43.066Z (about 1 year ago)
- Topics: dialogflow, fastapi, ngrok, postgresql, python
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Food Ordering Assistant (Dialogflow + FastAPI)
## Overview
This project is a conversational food ordering assistant built using **Dialogflow** for natural language understanding and **FastAPI** as the backend server.
Users can add, remove, view, and complete their food orders through conversational commands.
---
## Features
- Natural language interaction using Dialogflow
- Add items to order (with quantity and variants)
- Remove items from order (handles case insensitive matching)
- View current order status
- Complete order and reset session
- Session management with FastAPI backend
---
## Tech Stack
- **Dialogflow CX / ES** (for building conversational agents)
- **FastAPI** (Python framework for REST API backend)
- **Uvicorn** (ASGI server to run FastAPI)
- **Ngrok** (optional, for local tunneling to expose your server to Dialogflow)
- **Python 3.9+**
---
## Getting Started
### Prerequisites
- Python 3.9 or higher installed
- Dialogflow agent created in Google Cloud Console
- Ngrok installed (optional for local development)
### Installation
1. Clone the repo:
```bash
git clone https://github.com/yourusername/FoodChatBot-AI-assistant.git
cd FoodChatBot-AI-assistant
```
2. Create and activate a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
### Running the Server
```bash
uvicorn main:app --reload
```
- The FastAPI server will start on `http://127.0.0.1:8000`.
- Use ngrok to expose this endpoint to Dialogflow:
```bash
ngrok http 8000
```
- Copy the public HTTPS URL from ngrok and set it as the webhook URL in your Dialogflow fulfillment.
---
## Dialogflow Setup
- Create intents for adding, removing, viewing, and completing orders.
- Set up webhook fulfillment pointing to your FastAPI server URL.
- Use session IDs to maintain order state per user.
- Map user expressions to respective intent actions.
---
## Usage
- Start a conversation in Dialogflow simulator or integrated platform.
- Add food items by saying:
*“Add 2 masala dosas”*
- Remove items by saying:
*“Remove dosa”* (case insensitive handling)
- Check your order status:
*“What’s in my order?”*
- Complete your order:
*“Complete order”*
---
## Troubleshooting
- Make sure your webhook URL is HTTPS and reachable from Dialogflow.
- Use consistent session IDs to track user orders.
- Handle case insensitive matching to improve user experience.
- Review Dialogflow logs for webhook errors.
---
## License
MIT License