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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):
# Decode the base64 string
byte_data = base64.b64decode(base64_string)
# Use BytesIO to convert the byte data to image
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")
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