Create app.py

app.py

@@ -0,0 +1,62 @@
+# Install required libraries
+# pip install -U openai-whisper gtts
+
+import whisper
+from gtts import gTTS
+import subprocess
+
+# Step 1: Extract Text from Video using Whisper
+def extract_text_from_video(video_path):
+    # Load the Whisper model
+    model = whisper.load_model("base")
+    
+    # Transcribe the video file's audio
+    result = model.transcribe(video_path)
+    
+    # Extract the transcribed text
+    text = result["text"]
+    
+    # Save the transcribed text to a file (optional)
+    with open("video_text.txt", "w") as f:
+        f.write(text)
+    
+    return text
+
+# Step 2: Generate Voice-Over using gTTS
+def generate_voice_over(text, output_audio_path="voice_over.mp3"):
+    # Generate audio with gTTS
+    tts = gTTS(text=text, lang="en")
+    tts.save(output_audio_path)
+    print(f"Voice-over saved as {output_audio_path}")
+    return output_audio_path
+
+# Step 3: Combine Voice-Over with Original Video using FFmpeg
+def add_voice_over_to_video(video_path, audio_path, output_video_path="output_video_with_voice.mp4"):
+    # Use FFmpeg to combine video with new audio
+    ffmpeg_command = [
+        "ffmpeg",
+        "-i", video_path,
+        "-i", audio_path,
+        "-c:v", "copy",
+        "-map", "0:v:0",
+        "-map", "1:a:0",
+        "-shortest",
+        output_video_path
+    ]
+    subprocess.run(ffmpeg_command)
+    print(f"Final video with voice-over saved as {output_video_path}")
+
+# Run the complete process
+def main(video_path):
+    # Step 1: Extract text from video
+    text = extract_text_from_video(video_path)
+    print("Extracted Text:", text)
+    
+    # Step 2: Generate voice-over from extracted text
+    audio_path = generate_voice_over(text)
+    
+    # Step 3: Add voice-over to the video
+    add_voice_over_to_video(video_path, audio_path)
+
+# Provide the path to your input video file
+main("input_video.mp4")