Update app.py

app.py

@@ -8,12 +8,12 @@ import pytz
 
 # Page config and header
 st.set_page_config(
-    page_title="Fire Watch: AI-Powered Fire and Smoke Detection",
+    page_title="Your Original App",
     page_icon="🔥",
     layout="wide",
     initial_sidebar_state="expanded"
 )
-st.title("Fire Watch: Fire Detection with an AI Vision Model")
+st.title("Your Original App")
 
 # --- Session State Initialization ---
 if "streams" not in st.session_state:
@@ -54,7 +54,7 @@ default_names = [
 # --- Sidebar Settings ---
 with st.sidebar:
     st.header("Stream Settings")
-    # Custom configuration for stream 1 only.
+    # Custom configuration for stream 1 (optional)
     custom_m3u8 = st.text_input("Custom M3U8 URL for Stream 1 (optional)", value="", key="custom_m3u8")
     custom_name = st.text_input("Custom Webcam Name for Stream 1 (optional)", value="", key="custom_name")
     
@@ -76,7 +76,7 @@ with st.sidebar:
     video_option = st.selectbox("Processing Rate", list(fps_options.keys()), index=3)
     st.session_state.target_fps = fps_options[video_option]
 
-# Update or initialize the streams using defaults (with custom override for stream 1).
+# Initialize or update stream state
 if len(st.session_state.streams) != st.session_state.num_streams:
     st.session_state.streams = []
     for i in range(st.session_state.num_streams):
@@ -150,7 +150,6 @@ def update_stream(i):
             return
         res = model.predict(frame, conf=confidence)
         processed_frame = res[0].plot()[:, :, ::-1]
-        # Extract detection results.
         tensor_info = "No detections"
         max_conf = 0.0
         try:
@@ -160,7 +159,6 @@ def update_stream(i):
                 tensor_info = f"Detections: {len(boxes)} | Max Confidence: {max_conf:.2f}"
         except Exception as ex:
             tensor_info = f"Error extracting detections: {ex}"
-        # Only update if new detection's confidence is >= current highest.
         if max_conf >= stream_state["highest_match"]:
             stream_state["highest_match"] = max_conf
             stream_state["detected_frames"].append(processed_frame)
@@ -180,12 +178,8 @@ def update_stream(i):
         )
         stats_placeholders[i].text(stream_state["stats_text"])
 
-# --- Continuous Processing Loop ---
-# Using Streamlit's experimental rerun mechanism to update frames.
-# This loop runs once per script execution; Streamlit will re-run the script as needed.
+# --- Update Streams and Rerun ---
 for i in range(num_streams):
     update_stream(i)
-
-# Trigger a rerun after a short delay for continuous updates
 time.sleep(1.0 / target_fps)
 st.experimental_rerun()