Upload app.py

src/app.py

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+# Streamlit app will be generated here
+import streamlit as st
+import cv2
+import numpy as np
+from src.preprocess import preprocess_frame
+from src.predict import load_trained_model, predict_violence
+import tempfile
+
+st.set_page_config(layout="wide")
+st.title("🔍 Violence Detection in Video")
+st.markdown("Upload a video and let the model detect violent scenes in real-time.")
+
+uploaded_file = st.file_uploader("Upload a video", type=["mp4", "avi"])
+model = load_trained_model("models/violence_model.h5")
+
+if uploaded_file is not None:
+    tfile = tempfile.NamedTemporaryFile(delete=False)
+    tfile.write(uploaded_file.read())
+    cap = cv2.VideoCapture(tfile.name)
+    stframe = st.empty()
+
+    while cap.isOpened():
+        ret, frame = cap.read()
+        if not ret:
+            break
+
+        processed = preprocess_frame(frame)
+        pred = predict_violence(model, processed)
+        label = "Violent" if pred <= 0.5 else "Non-Violent"
+        color = (0, 0, 255) if label == "Violent" else (0, 255, 0)
+
+        cv2.putText(frame, f'{label} ({pred:.2f})', (10, 30),
+                    cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2)
+        stframe.image(frame, channels="BGR")
+
+    cap.release()
+