wiring in poetry for local dev and making the charts dark mode

.gitignore

@@ -0,0 +1,2 @@
+# ignore pycache
+__pycache__/

app.py

@@ -1,6 +1,11 @@
 import gradio as gr
 import pandas as pd
 from plotly import graph_objects as go
+import plotly.io as pio
+import plotly.express as px
+
+# Set the default theme to "plotly_dark"
+pio.templates.default = "plotly_dark"
 
 
 def process_dataset():
@@ -122,7 +127,11 @@ def cumulative_growth_plot_analysis(df, df_compressed):
     fig = go.Figure()
 
     # Define a color map for each type
-    color_map = {"model": "blue", "space": "green", "dataset": "red"}
+    color_map = {
+        "model": px.colors.qualitative.Alphabet[3],
+        "space": px.colors.qualitative.Alphabet[2],
+        "dataset": px.colors.qualitative.Alphabet[9],
+    }
 
     # Add a scatter trace for each type
     for column in cumulative_df.columns:
@@ -182,6 +191,7 @@ def plot_total_sum(by_type_arr):
         xaxis_title="File Extension",
         yaxis_title="Total Size (PBs)",
         yaxis=dict(tickformat=".2f"),  # Format y-axis labels to 2 decimal places
+        colorway=px.colors.qualitative.Alphabet,  # Use Plotly color palette
     )
     return fig
 

pyproject.toml

@@ -0,0 +1,19 @@
+[tool.poetry]
+name = "lfs-analysis"
+version = "0.1.0"
+description = ""
+authors = ["jsulz <j.sulzdorf@gmail.com>"]
+license = "MIT"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.12"
+gradio = "^4.44.0"
+pandas = "^2.2.3"
+plotly = "^5.24.1"
+pyarrow = "^17.0.0"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"