Examples
- Introduction
- Agents
- Web Search Agent
- AI Recipe Creator Agent
- Finance Agent
- Books Recommendation Agent
- Shopping Agent
- Weekend Planner Agent
- Agent Team
- Reasoning Agent
- Python Agent
- Data Analyst
- Structured Output
- Python Function Agent
- Image Agent
- Generate Image Agent
- Cal.com Agent
- Image to Text Agent
- Research Agent
- ModelsLabs Agent
- Slack Agent
- Discord Agent
- Firecrawl Agent
- Github Agent
- RAG Agent
- Popcorn Pal
- Globe Hopper Agent
- Baidu Search Agent
- Youtube Timestamp Agent
- Study Scout Agent
- Models
- Integrations
- Agent Teams
- Use Cases
How To
Agents
Data Analyst
Create a file data_analyst.py
with the following code:
data_analyst.py
import json
from phi.model.openai import OpenAIChat
from phi.agent.duckdb import DuckDbAgent
data_analyst = DuckDbAgent(
model=OpenAIChat(model="gpt-4o"),
semantic_model=json.dumps(
{
"tables": [
{
"name": "movies",
"description": "Contains information about movies from IMDB.",
"path": "https://phidata-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv",
}
]
}
),
markdown=True,
)
data_analyst.print_response(
"Show me a histogram of ratings. "
"Choose an appropriate bucket size but share how you chose it. "
"Show me the result as a pretty ascii diagram",
stream=True,
)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv ~/.venvs/aienv
source ~/.venvs/aienv/bin/activate
2
Install libraries
pip install openai duckdb phidata
3
Run the agent
python data_analyst.py
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