Update app.py

app.py

@@ -1,45 +1,41 @@
 import gradio as gr
 import pandas as pd
-from datetime import datetime, timedelta
-
-# Initialize data
-data = {
-    "Date": pd.date_range(start="2023-01-01", end="2025-12-31", freq="D"),
-    "Chris": 0,
-    "Loïck": 0
-}
-
-df = pd.DataFrame(data)
-
-def update_points(player, points, date):
-    global df
-    date = pd.to_datetime(date)
-    if player == "Chris":
-        df.loc[df["Date"] == date, "Chris"] += points
-    else:
-        df.loc[df["Date"] == date, "Loïck"] += points
+
+def read_file():
+    df = pd.read_csv("./data.csv")
     return df
 
+def count_names(df):
+    chris_count = (df["First"] == "Chris").sum()
+    loick_count = (df["First"] == "Loïck").sum()
+    return chris_count, loick_count
+
+def determine_goat(chris_count, loick_count):
+    if chris_count > loick_count:
+        return "The current GOAT is: Chris"
+    elif loick_count > chris_count:
+        return "The current GOAT is: Loïck"
+    else:
+        return "The current GOAT is: It's a tie between Chris and Loïck"
+
+def process_file():
+    df = read_file()
+    chris_count, loick_count = count_names(df)
+    goat = determine_goat(chris_count, loick_count)
+    return df, f"Chris count: {chris_count}, Loïck count: {loick_count}", goat
+
 with gr.Blocks() as demo:
     gr.Markdown("# Leaderboard")
 
-    with gr.Row():
-        player = gr.Dropdown(["Chris", "Loïck"], label="Fellow")
-        points = gr.Number(label="Points", value=1)
-        date = gr.Textbox(label="Date", value="2023-01-01")
-        update_btn = gr.Button("Update Points")
+    process_btn = gr.Button("Process File")
 
-    leaderboard = gr.DataFrame(label="Leaderboard", headers=["Date", "Chris", "Loïck"])
-
-    update_btn.click(
-        fn=update_points,
-        inputs=[player, points, date],
-        outputs=leaderboard
-    )
+    df_output = gr.DataFrame(label="DataFrame")
+    count_output = gr.Textbox(label="Counts")
+    goat_output = gr.Textbox(label="Current GOAT")
 
-    demo.load(
-        fn=lambda: df,
-        outputs=leaderboard
+    process_btn.click(
+        fn=process_file,
+        outputs=[df_output, count_output, goat_output]
     )
 
-demo.launch()
+demo.launch()