move results to main page

MMS_Benchmark.py

@@ -1,12 +1,70 @@
 import streamlit as st
 import pandas as pd
+import plotly.express as px
 
-st.set_page_config(
-    page_title="Hello",
-    page_icon="👋",
-)
 
-st.markdown("# Hello")
+@st.cache_data
+def get_results(experiment: str):
+    path = {
+        "linear": "data/f1_linear.parquet",
+        "bilstm": "data/f1_bilstm.parquet",
+        "finetuning": "data/f1_finetuning.parquet",
+    }[experiment]
+
+    df = pd.read_parquet(path)
+    df = (df * 100).astype(int)
+    return df
+
+TITLE = "F1 Macro scores"
+
+st.set_page_config(page_title=TITLE, page_icon="📈")
+
+st.markdown(f"# {TITLE}")
 st.write(
-    "Lorem ipsum"
+    """TODO: Description"""
+)
+
+df_linear = get_results("linear")
+df_linear["Experiment"] = "Linear Head"
+df_bilstm = get_results("bilstm")
+df_bilstm["Experiment"] = "BiLSTM Head"
+df_finetuning = get_results("finetuning")
+df_finetuning["Experiment"] = "Fine-tuning"
+
+color_range_low = 40
+color_range_high = 75
+
+st.plotly_chart(
+    px.imshow(
+        df_linear,
+        title="Linear Head",
+        labels=dict(x="Language", y="Model", color="F1 Score"),
+        color_continuous_scale="viridis",
+        range_color=[color_range_low, color_range_high],
+        text_auto=True,
+    )
+)
+
+
+
+st.plotly_chart(
+    px.imshow(
+        df_bilstm,
+        title="BiLSTM Head",
+        labels=dict(x="Language", y="Model", color="F1 Score"),
+        color_continuous_scale="viridis",
+        range_color=[color_range_low, color_range_high],
+        text_auto=True,
+    )
+)
+
+st.plotly_chart(
+    px.imshow(
+        df_finetuning,
+        title="Fine-tuning",
+        labels=dict(x="Language", y="Model", color="F1 Score"),
+        color_continuous_scale="viridis",
+        range_color=[color_range_low, color_range_high],
+        text_auto=True,
+    )
 )

pages/1_Results.py

@@ -1,70 +0,0 @@
-import streamlit as st
-import pandas as pd
-import plotly.express as px
-
-
-@st.cache_data
-def get_results(experiment: str):
-    path = {
-        "linear": "data/f1_linear.parquet",
-        "bilstm": "data/f1_bilstm.parquet",
-        "finetuning": "data/f1_finetuning.parquet",
-    }[experiment]
-
-    df = pd.read_parquet(path)
-    df = (df * 100).astype(int)
-    return df
-
-TITLE = "F1 Macro scores"
-
-st.set_page_config(page_title=TITLE, page_icon="📈")
-
-st.markdown(f"# {TITLE}")
-st.write(
-    """TODO: Description"""
-)
-
-df_linear = get_results("linear")
-df_linear["Experiment"] = "Linear Head"
-df_bilstm = get_results("bilstm")
-df_bilstm["Experiment"] = "BiLSTM Head"
-df_finetuning = get_results("finetuning")
-df_finetuning["Experiment"] = "Fine-tuning"
-
-color_range_low = 40
-color_range_high = 75
-
-st.plotly_chart(
-    px.imshow(
-        df_linear,
-        title="Linear Head",
-        labels=dict(x="Language", y="Model", color="F1 Score"),
-        color_continuous_scale="viridis",
-        range_color=[color_range_low, color_range_high],
-        text_auto=True,
-    )
-)
-
-
-
-st.plotly_chart(
-    px.imshow(
-        df_bilstm,
-        title="BiLSTM Head",
-        labels=dict(x="Language", y="Model", color="F1 Score"),
-        color_continuous_scale="viridis",
-        range_color=[color_range_low, color_range_high],
-        text_auto=True,
-    )
-)
-
-st.plotly_chart(
-    px.imshow(
-        df_finetuning,
-        title="Fine-tuning",
-        labels=dict(x="Language", y="Model", color="F1 Score"),
-        color_continuous_scale="viridis",
-        range_color=[color_range_low, color_range_high],
-        text_auto=True,
-    )
-)