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import streamlit as st
from lida import Manager, TextGenerationConfig, llm
import os
import io
from PIL import Image
from io import BytesIO
import base64
def base64_to_image(base64_string):
byte_data = base64.b64decode(base64_string)
return Image.open(BytesIO(byte_data))
#from LIDA github
text_gen = llm(model="uukuguy/speechless-llama2-hermes-orca-platypus-13b", device_map="auto")
lida = Manager(text_gen=text_gen)
textgen_config = TextGenerationConfig(n=1, temperature=0.1, max_tokens=512)
menu = st.sidebar.selectbox("Summary or Query", ["Summary", "Query"])
if menu == "Summary":
st.subheader("Summarization of the Data")
file_uploader = st.file_uploader("Upload your file", type="csv")
if file_uploader is not None:
path_to_save = "filename.csv"
with open(path_to_save, "wb") as f:
f.write(file_uploader.getvalue())
summary = lida.summarize("filename.csv", summary_method="default")
st.write(summary)
goals = lida.goals(summary, n=2, textgen_config=textgen_config)
for goal in goals:
st.write(goal)
i = 0
library = "seaborn"
text_gen_config = TextGenerationConfig(n=1, temperature=0.1, use_cache=True)
charts = lida.visualize(summary=summary, goal=goals[i], textgen_config=textgen_config, library=library)
img_base64_string = charts[0].raster
img = base64_to_image(img_base64_string)
st.image(img)
elif menu == "Query":
st.subheader("Questioning of the Data")
file_uploader = st.file_uploader("Upload your file", type="csv")
if file_uploader is not None:
path_to_save = "filename1.csv"
with open(path_to_save, "wb") as f:
f.write(file_uploader.getvalue())
text_area = st.text_area("Query your data to generate visualization", height=200)
if st.button("Generate Graph"):
if len(text_area) > 0:
# st.info("Your query " + text_area)
# lida = Manager(text_gen=text_gen)
# text_gen_config = TextGenerationConfig(n=1, temperature=0.1, use_cache=True)
summary = lida.summarize("filename1.csv", summary_method="default", textgen_config=textgen_config)
user_query = text_area
charts = lida.visualize(summary=summary, goal=user_query, textgen_config=textgen_config)
img_base64_string = charts[0].raster
img = base64_to_image(img_base64_string)
st.image(img)
charts[0]
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