add uv

.gitignore

@@ -1,3 +1,4 @@
 *.png
 old_code/*
 *Thumbs*
+*.pyc

.python-version

@@ -0,0 +1 @@
+3.11

app.py

@@ -1,11 +1,11 @@
 import gradio as gr
-import numpy as np
-import seaborn as sns
 import matplotlib.pyplot as plt
+import numpy as np
 import pandas as pd
+import seaborn as sns
 
-from ppi.distributions import BinaryYFDistribution
-from ppi.compute_curve import compute_curve
+from compute_curve import compute_curve
+from distributions import BinaryYFDistribution
 
 
 def convert_y_params_to_f_params(p_y, p_f_given_y1, p_f_given_y0):

compute_curve.py

@@ -1,8 +1,9 @@
-import numpy as np
-import seaborn as sns
 import matplotlib.pyplot as plt
-from ppi import distributions
+import numpy as np
 import pandas as pd
+import seaborn as sns
+
+import distributions
 
 binary_dist = distributions.BinaryYFDistribution(
     p_f=0.5, p_y_given_f1=0.8, p_y_given_f0=0.2

pyproject.toml

@@ -0,0 +1,12 @@
+[project]
+name = "ppi-variance-demo"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = [
+    "gradio>=5.3.0",
+    "numpy>=2.3.3",
+    "pandas>=2.3.3",
+    "seaborn>=0.13.2",
+]