Update app.py

app.py

@@ -15,7 +15,6 @@ import uuid
 from pathlib import Path
 import panel as pn
 
-
 pn.extension(design="material")
 # Create a queue to communicate between threads
 post_queue = queue.Queue()
@@ -32,8 +31,8 @@ example = pd.DataFrame(
 )
 df = DataFrame(stream, example=example)
 
-# Calculate backlog for 1 month (31 days)
-MONTH_IN_SECONDS = 31 * 24 * 60 * 60  # 31 days * 24 hours * 60 minutes * 60 seconds
+# Calculate backlog for 24 hours
+DAY_IN_SECONDS = 24 * 60 * 60  # 24 hours * 60 minutes * 60 seconds
 
 # Add environment variable support for configuration
 REPO_ID = os.getenv("HF_REPO_ID", "davanstrien/bluesky-counts")
@@ -65,14 +64,14 @@ DATA_FILE = f"bluesky_counts_{uuid.uuid4()}.json"
 #         data = []
 #         with open(local_path, "r") as f:
 #             data.extend(json.loads(line.strip()) for line in f)
-#         # Keep only last month of data
-#         return data[-MONTH_IN_SECONDS:]
+#         # Keep only last 24 hours of data
+#         return data[-DAY_IN_SECONDS:]
 #     except Exception as e:
 #         print(f"Error loading data from Hub: {e}")
 #         return []
 
 
-# # Initialize storage and Hub connection
+# Initialize storage and Hub connection
 # DATA_FOLDER.mkdir(exist_ok=True)
 # scheduler = CommitScheduler(
 #     repo_id=REPO_ID,
@@ -125,14 +124,14 @@ def emit_counts():
         time.sleep(1)
 
 
-# Create the plot with month-long backlog
+# Create the plot with 24-hour backlog
 plot = df.hvplot.line(
     "timestamp",
     "post_count",
-    title="Bluesky Posts per Second",
+    title="Bluesky Posts per Second (Last 24 Hours)",
     width=800,
     height=400,
-    backlog=MONTH_IN_SECONDS,  # Keep last month of points
+    backlog=DAY_IN_SECONDS,  # Keep last 24 hours of points
 )
 
 
@@ -162,6 +161,6 @@ if __name__ == "__main__":
         dashboard,
         address="0.0.0.0",
         port=7860,
-        allow_websocket_origin=["*"],  # Changed from "*" to ["*"]
+        allow_websocket_origin=["*"],
         show=False,
-    )
+    )