Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,29 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+import pandas as pd
+import plotly.express as px
+
+st.set_page_config(page_title="Roblox Dashboard", layout="wide")
+st.title("🎮 Roblox Games Dashboard")
+
+@st.cache_data
+def load_data():
+    # ชี้ไปที่โกดัง Dataset ที่ Airflow เพิ่งส่งของมาให้
+    dataset_url = "hf://datasets/ihhereanth/roblox_dataset/"
+    return pd.read_parquet(dataset_url)
+
+try:
+    df = load_data()
+    
+    st.subheader("📋 ตัวอย่างข้อมูล (Data Overview)")
+    st.dataframe(df.head())
+
+    st.subheader("🔥 Top Games by Active Players")
+    if 'name' in df.columns and 'playing' in df.columns:
+        top_games = df.nlargest(10, 'playing')
+        fig = px.bar(top_games, x='name', y='playing', color='name', text_auto=True)
+        st.plotly_chart(fig, use_container_width=True)
+    else:
+        st.warning("ไม่พบคอลัมน์ที่ตรงกับเงื่อนไขการสร้างกราฟ")
+        
+except Exception as e:
+    st.error(f"กำลังรอข้อมูล หรือเกิดข้อผิดพลาดในการดึงข้อมูล: {e}")