Update app.py

app.py

@@ -1,45 +1,9 @@
-import requests
-import pandas as pd
 import gradio as gr
 
-def scrape_barchart_unusual():
-    url = "https://www.barchart.com/proxies/core-api/v1/options/unusual-activity"
-    headers = {
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123 Safari/537.36",
-        "Accept": "application/json",
-    }
-    params = {
-        "assetType": "STOCK",
-        "fields": "symbol,optionType,strikePrice,expirationDate,tradeVolume,tradePremium",
-        "meta": "field.shortName,field.type",
-        "orderBy": "tradePremium",
-        "orderDir": "desc",
-        "page": 1,
-        "limit": 50
-    }
-
-    response = requests.get(url, headers=headers, params=params)
-    data = response.json()
-
-    if "data" not in data:
-        return pd.DataFrame(columns=["Symbol", "Type", "Strike", "Expiry", "Volume", "Premium ($)"])
-
-    rows = []
-    for item in data["data"]:
-        symbol = item.get("symbol", "")
-        opt_type = item.get("optionType", "")
-        strike = item.get("strikePrice", "")
-        expiry = item.get("expirationDate", "")
-        volume = item.get("tradeVolume", "")
-        premium = item.get("tradePremium", "")
-
-        rows.append([symbol, opt_type, strike, expiry, volume, f"${premium:,}"])
-
-    df = pd.DataFrame(rows, columns=["Symbol", "Type", "Strike", "Expiry", "Volume", "Premium ($)"])
-    return df
-
 with gr.Blocks() as app:
-    gr.Markdown("# Barchart Unusual Options Flow (Realtime Top 50)")
-    table = gr.Dataframe(scrape_barchart_unusual, every=30, label="Unusual Options Activity")
+    gr.Markdown("""
+    ### OptionStrat Flow
+    [<span style="padding: 10px 20px; background-color: #0056b3; color: white; border-radius: 5px;">Truy cập Option Flow</span>](https://optionstrat.com/flow){:target="_blank"}
+    """)
 
-app.launch(server_name="0.0.0.0", server_port=7860)
+app.launch()