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A Python-based travel AI assistant using IBM Watson AI with real-time streaming responses. Features OAuth 2.0 authentication, comprehensive error handling, and intelligent travel recommendations including destinations, budgets, and visa requirements through an interactive Jupyter notebook interface.
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A comprehensive travel recommendation system built with IBM Watson AI that provides real-time streaming responses for travel planning queries.
This project demonstrates how to integrate with IBM Watson AI to create an intelligent travel assistant that can help with:
Travel_Agent_Ai/
├── travel_ai_notebook.ipynb # Complete Jupyter notebook implementation
├── arsh.env # Your API key file (create this)
└── README.md # This file
File Descriptions:
requests, re, jsonClone or download the project files
git clone https://github.com/arshdeepyadavofficial/Travel_Agent_Ai
cd Travel_Agent_Ai
Install dependencies
pip install requests python-dotenv
Set up your IBM Cloud API key
Create a .env file in the project root directory and add your IBM Cloud API key:
API_KEY=your_actual_ibm_cloud_api_key_here
How to get your IBM Cloud API key:
.env fileImportant Notes:
.env to your .gitignore filejupyter notebook travel_ai_notebook.ipynb
# Make sure your .env file is set up first
python travel_ai_notebook.py # If you convert the notebook to .py
Sign up/Login to IBM Cloud
Create Watson AI Service
Generate API Key
Create Environment File
.env file in your project directoryAPI_KEY=your_actual_ibm_cloud_api_key_here
Method 1: Custom Environment File (arsh.env)
API_KEY=your_ibm_cloud_api_key_here
Method 2: System Environment Variables
export API_KEY="your_ibm_cloud_api_key_here"
# The code automatically loads from .env or arsh.env files
# Your .env file should contain:
API_KEY=abcd1234-efgh-5678-ijkl-9012mnopqrst
# The deployment URL is already configured in the code
Once your API key is configured, you can use the travel assistant for various queries:
# Ask about destinations
travel_ai_assistant("I'm planning a trip to Paris. Can you suggest popular tourist attractions?")
# Multi-day trip planning
travel_ai_assistant("Create a 3-day itinerary for Rome including must-see attractions")
# Packing and preparation advice
travel_ai_assistant("What should I pack for a winter trip to Iceland?")
# Local experiences and food
travel_ai_assistant("Best authentic street food in Bangkok?")
# Authentication process
token_response = requests.post(IAM_URL, data={
"apikey": API_KEY,
"grant_type": 'urn:ibm:params:oauth:grant-type:apikey'
})
access_token = token_response.json()["access_token"]
Watson AI returns streaming responses in SSE format:
id: 1
event: message
data: {"choices": [{"index": 0, "delta": {"role": "assistant", "content": "Hello"}}]}
id: 2
event: message
data: {"choices": [{"index": 0, "delta": {"role": "assistant", "content": " there"}}]}
The code parses these chunks and assembles the complete response.
# Extract data lines from SSE format
data_lines = re.findall(r'data: (.+)', response_text)
# Parse each JSON chunk
for line in data_lines:
data = json.loads(line)
content = data['choices'][0]['delta'].get('content', '')
full_response += content
error_messages = {
400: "Bad Request - Check your message format",
401: "Unauthorized - Verify your API key",
403: "Forbidden - Check your permissions",
404: "Not Found - Verify deployment URL",
429: "Rate Limited - Wait before making more requests",
500: "Internal Server Error - Try again later",
503: "Service Unavailable - Watson AI may be down"
}
Destination Planning
Itinerary Creation
Travel Tips
Local Recommendations
Execute the notebook cells in order, or run:
# Test basic functionality
response = travel_ai_assistant("Plan a trip to Tokyo")
# Test multiple query types
test_multiple_queries()
| Code | Issue | Solution |
|---|---|---|
| 401 | Authentication failed | Check API key validity |
| 404 | Deployment not found | Verify deployment URL |
| 429 | Rate limited | Wait and retry |
| 500 | Server error | Retry after delay |
"❌ API key is missing" Error
.env or arsh.env file exists in the project directoryAPI_KEY=your_actual_key_hereAuthentication Failures
File Not Found Issues
.env or arsh.env file is in the same folder as the notebookNetwork Issues
Response Parsing Issues
This project is open source. Feel free to use, modify, and distribute.
For issues and questions:
Arshdeep Yadav BTech Computer Science Engineering
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