Update app.py

app.py

@@ -1,7 +1,59 @@
 import streamlit as st
 import tempfile
 import os
-from video_processor import process_video
+import cv2
+import numpy as np
+
+def remove_watermark(frame):
+    # Convert to grayscale
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    # Thresholding to create a mask
+    _, mask = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
+    # Inpaint to remove watermark
+    result = cv2.inpaint(frame, mask, 3, cv2.INPAINT_TELEA)
+    return result
+
+def enhance_resolution(input_path, output_path):
+    os.system(f"ffmpeg -i {input_path} -vf scale=1920:1080 {output_path}")
+
+def trim_invidea_ai_branding(input_path, output_path, duration=None):
+    if duration is None:
+        duration = get_video_duration(input_path) - 3  # Trim last 3 seconds
+    os.system(f"ffmpeg -i {input_path} -t {duration} {output_path}")
+
+def get_video_duration(video_path):
+    import ffmpeg
+    probe = ffmpeg.probe(video_path)
+    return float(probe['format']['duration'])
+
+def process_video(input_video):
+    cap = cv2.VideoCapture(input_video)
+    if not cap.isOpened():
+        return None
+
+    temp_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+    out = cv2.VideoWriter(temp_output.name, fourcc, 30.0, (int(cap.get(3)), int(cap.get(4))))
+
+    while cap.isOpened():
+        ret, frame = cap.read()
+        if not ret:
+            break
+        processed_frame = remove_watermark(frame)
+        out.write(processed_frame)
+
+    cap.release()
+    out.release()
+
+    # Enhance resolution
+    enhanced_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
+    enhance_resolution(temp_output.name, enhanced_output.name)
+
+    # Trim branding
+    final_output = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
+    trim_invidea_ai_branding(enhanced_output.name, final_output.name)
+
+    return final_output.name
 
 st.title("AI Video Enhancement App 🎥")