Update results.py

results.py

@@ -416,55 +416,6 @@ fig.update_layout(
 # Show the figure
 llama_graph2 = fig
 
-#llama graph 3
-
-# Data for different buckets and perplexity values across years
-data = {
-    "1-1": {
-        "years": ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"],
-        "perplexities": [10.036774097041135, 9.46310273785878, 9.41413706166537, 9.50318602661455, 9.007669062339426, 8.388255660116407, 10.112246017864624, 10.239269162661959, 9.931951075969451, 8.646614152066428]
-    },
-    "2-5": {
-        "years": ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"],
-        "perplexities": [9.306693996275795, 8.763464863196129, 8.645126825996691, 9.473904977192573, 10.95829859145081, 10.676105294328789, 10.255251179892559, 9.54987953569235, 9.12737570591033, 8.806922449908505]
-    },
-    "6-10": {
-        "years": ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"],
-        "perplexities": [9.442327622499175, 9.075851726027564, 9.527148465147846, 9.755998086072951, 10.128151243953157, 9.728353939624842, 9.233548505479437, 9.067380903629866, 8.995868137602248, 8.816629232137835]
-    },
-    "11-100": {
-        "years": ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"],
-        "perplexities": [9.015408185880002, 8.868392446242012, 9.120345162203675, 8.968012141869462, 9.451949410987668, 9.381837094065533, 9.25131862646364, 9.014261939731549, 9.00805668763514, 8.995152677487027]
-    },
-    "101-1000": {
-        "years": ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"],
-        "perplexities": [9.94583162297666, 9.113560631617027, 8.9228845723255, 8.895860780054043, 8.863879736723902, 8.401723232809463, 8.458532176757009, 8.14345667720481, 7.882044010499616, 7.737747701620713]
-    },
-    "1001-30000000": {
-        "years": ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"],
-        "perplexities": [9.141712571508352, 8.037411460181893, 9.14052983061081, 8.757970647106037, 8.440366034517687, 7.5705604983353325, 7.4808205167223525, 7.312019290288715, 7.538858258386088, 6.77703951001925]
-    }
-}
-
-# Create figure
-fig = go.Figure()
-
-# Add traces for each bucket
-for bucket, bucket_data in data.items():
-    fig.add_trace(go.Scatter(x=bucket_data["years"], y=bucket_data["perplexities"], mode='lines+markers', name=bucket))
-
-# Update layout
-fig.update_layout(
-    title="Perplexity Across Different Buckets (Global)",
-    xaxis_title="Year",
-    yaxis_title="Average Perplexity",
-    legend_title="Bucket (Duplicate Count Range)"
-)
-
-# Show the figure
-llama_graph3 = fig
-
-
 #llama graph 4
 
 import plotly.graph_objects as go
@@ -728,11 +679,6 @@ llama_div = Div(
             Img(src="images/prep-across-diff-years-global.png", height = "300", width = "600" ),
             plotly2fasthtml(llama_graph2),
         ),
-    Section(
-            H3("Perplexity vs Dump Duplication"),
-            P("NEED TO UPDATE - THIS IS NEW"),
-            plotly2fasthtml(llama_graph3),
-    ),
     Section(
             H3("Perplexity vs Dump Duplication"),
             Img(src="images/prep-vs-dump-dup-global.png", height = "300", width = "600" ),