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import os |
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os.environ["NUMBA_DISABLE_CACHE"] = "1" |
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import streamlit as st |
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import whisper |
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from gtts import gTTS |
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from moviepy.editor import VideoFileClip, AudioFileClip |
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from tempfile import NamedTemporaryFile |
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import torchaudio |
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st.set_page_config(page_title="AI Voiceover", layout="centered") |
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st.title("🎤 AI Voiceover App") |
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@st.cache_resource |
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def load_whisper_model(): |
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return whisper.load_model("small") |
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whisper_model = load_whisper_model() |
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video_file = st.file_uploader("Upload a short video (MP4 preferred)", type=["mp4", "mov", "avi"]) |
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if video_file: |
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with NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_video: |
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tmp_video.write(video_file.read()) |
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tmp_video_path = tmp_video.name |
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st.video(tmp_video_path) |
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video = VideoFileClip(tmp_video_path) |
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audio_path = tmp_video_path.replace(".mp4", ".wav") |
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video.audio.write_audiofile(audio_path) |
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st.info("Transcribing using Whisper...") |
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result = whisper_model.transcribe(audio_path) |
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st.subheader("📝 Detected Speech") |
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st.write(result["text"]) |
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custom_text = st.text_area("Enter your voiceover text:", result["text"]) |
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if st.button("Generate AI Voiceover"): |
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ai_voice_path = audio_path.replace(".wav", "_ai_voice.wav") |
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tts = gTTS(text=custom_text) |
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tts.save(ai_voice_path) |
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st.audio(ai_voice_path) |
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original_audio, sr = torchaudio.load(audio_path) |
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ai_audio, _ = torchaudio.load(ai_voice_path) |
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if ai_audio.shape[1] < original_audio.shape[1]: |
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diff = original_audio.shape[1] - ai_audio.shape[1] |
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ai_audio = torchaudio.functional.pad(ai_audio, (0, diff)) |
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else: |
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ai_audio = ai_audio[:, :original_audio.shape[1]] |
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mixed_audio = (original_audio * 0.4) + (ai_audio * 0.6) |
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mixed_path = audio_path.replace(".wav", "_mixed.wav") |
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torchaudio.save(mixed_path, mixed_audio, sr) |
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final_video = video.set_audio(AudioFileClip(mixed_path)) |
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final_path = tmp_video_path.replace(".mp4", "_final_streamlit.mp4") |
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final_video.write_videofile(final_path, codec="libx264", audio_codec="aac") |
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with open(final_path, "rb") as f: |
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st.download_button(label="📥 Download Final Video", data=f, file_name="final_ai_voiceover.mp4") |
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