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app.py

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+import gradio as gr
+import moviepy.editor as mp
+
+def generate_video_segments(video_path, segment_length=5):
+    """Splits the video into segments and returns their paths."""
+    video = mp.VideoFileClip(video_path)
+    segment_paths = []
+    
+    for i, start in enumerate(range(0, int(video.duration), segment_length)):
+        end = min(start + segment_length, video.duration)
+        segment_clip = video.subclip(start, end)
+        segment_filename = f"segment_{i}.mp4"
+        segment_clip.write_videofile(segment_filename, codec="libx264")
+        segment_paths.append(segment_filename)
+
+    return segment_paths
+
+def segment_video(file):
+    if file is None:
+        return "No file uploaded.", []
+    
+    segments = generate_video_segments(file.name)
+    return "Video segmented successfully!", segments
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Video Segmentation Preview")
+    file_input = gr.File(label="Upload Video")
+    segment_button = gr.Button("Generate Segments")
+    output_text = gr.Textbox()
+    video_gallery = gr.Gallery(label="Video Segments")  # Displays multiple previews
+
+    segment_button.click(segment_video, inputs=file_input, outputs=[output_text, video_gallery])
+
+demo.launch()

requirements.txt

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+openai-whisper
+sentencepiece
+SpeechRecognition
+pydub
+youtube_transcript_api
+nltk
+textblob
+gradio
+newspaper3k
+transformers
+sentence-transformers
+openai
+todoist-api-python
+flask
+twilio
+fastapi
+uvicorn
+moviepy
+ffmpy
+google-cloud-storage
+fpdf
+markdown
+nest_asyncio
+reportlab