create app.py

app.py

@@ -0,0 +1,99 @@
+import gradio as gr
+import os
+import time
+import json
+import yaml
+import pandas as pd
+from datetime import datetime
+from moviepy.editor import VideoFileClip
+
+# Function to process the video
+def process_video(video):
+    start_time = time.time()
+    
+    # Save the uploaded video file
+    video_path = os.path.join("uploads", video.name)
+    video.save(video_path)
+
+    # Extract video details
+    video_clip = VideoFileClip(video_path)
+    video_duration = video_clip.duration
+    memory_usage = os.path.getsize(video_path)  # in bytes
+    process_time = time.time() - start_time
+    upload_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    # Collect the log
+    log = {
+        "filename": video.name,
+        "collect_date_time": upload_time,
+        "video_duration": video_duration,
+        "process_time": process_time,
+        "memory_usage": memory_usage
+    }
+
+    # Save log in different formats
+    save_log(log)
+
+    return video_path, log
+
+def save_log(log):
+    # Save to CSV
+    csv_file = "logs.csv"
+    df = pd.DataFrame([log])
+    if os.path.exists(csv_file):
+        df.to_csv(csv_file, mode='a', header=False, index=False)
+    else:
+        df.to_csv(csv_file, index=False)
+    
+    # Save to JSON
+    json_file = "logs.json"
+    if os.path.exists(json_file):
+        with open(json_file, 'r') as f:
+            logs = json.load(f)
+        logs.append(log)
+        with open(json_file, 'w') as f:
+            json.dump(logs, f, indent=4)
+    else:
+        with open(json_file, 'w') as f:
+            json.dump([log], f, indent=4)
+    
+    # Save to YAML
+    yaml_file = "logs.yaml"
+    if os.path.exists(yaml_file):
+        with open(yaml_file, 'r') as f:
+            logs = yaml.safe_load(f)
+        logs.append(log)
+        with open(yaml_file, 'w') as f:
+            yaml.dump(logs, f)
+    else:
+        with open(yaml_file, 'w') as f:
+            yaml.dump([log], f)
+
+def display_logs():
+    logs = []
+    if os.path.exists("logs.json"):
+        with open("logs.json", 'r') as f:
+            logs = json.load(f)
+    return logs
+
+# Create Gradio interface
+upload_video = gr.Interface(
+    fn=process_video,
+    inputs=gr.inputs.File(label="Upload Video"),
+    outputs=[gr.outputs.Video(label="Processed Video"), gr.outputs.JSON(label="Log Details")],
+    live=True
+)
+
+view_logs = gr.Interface(
+    fn=display_logs,
+    inputs=None,
+    outputs=gr.outputs.JSON(label="Logs History")
+)
+
+app = gr.TabbedInterface(
+    [upload_video, view_logs],
+    ["Upload and Process Video", "View Logs"]
+)
+
+if __name__ == "__main__":
+    app.launch()