| from lida import Manager, TextGenerationConfig , llm |
| from dotenv import load_dotenv |
| import os |
| import openai |
| import base64 |
| from PIL import Image |
| from io import BytesIO |
|
|
| load_dotenv() |
|
|
| openai.api_key = os.getenv('OPENAI_API_KEY') |
|
|
| def base64_to_image(base64_string): |
| |
| byte_data = base64.b64decode(base64_string) |
| |
| |
| return Image.open(BytesIO(byte_data)) |
|
|
| def save_image(base64_str, save_path): |
| img = base64_to_image(base64_str) |
| img.save(save_path) |
| print(f"Image saved at {save_path}") |
|
|
| lida = Manager(text_gen = llm("openai")) |
| textgen_config = TextGenerationConfig(n=1, temperature=0.2, use_cache=True) |
| summary = lida.summarize("2019.csv", summary_method="default", textgen_config=textgen_config) |
|
|
| user_query = "Which country has the most GDP per capita?" |
| charts = lida.visualize(summary=summary, goal=user_query, textgen_config=textgen_config) |
| charts[0] |
|
|
| image_base64 = charts[0].raster |
|
|
| save_image(image_base64, "filename1.png") |
|
|
|
|