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Update app.py
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app.py
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import os
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os.environ["NUMBA_DISABLE_CACHE"] = "1"
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import gradio as gr
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from docx import Document
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from TTS.api import TTS
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import tempfile
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import zipfile
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# Available
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VOICE_MODELS = {
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"
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"
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"VCTK
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"VCTK Speaker 42 (Irish Male)": ("tts_models/en/vctk/vits", 42)
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}
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# Extract text from .docx
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document = Document(doc_file.name)
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full_text = "\n".join([para.text for para in document.paragraphs if para.text.strip()])
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#
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wav_path = os.path.join(tmpdir, f"part_{i + 1}.wav")
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tts.tts_to_file(text=para, speaker_idx=speaker_idx, file_path=wav_path)
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audio_files.append(wav_path)
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for audio in audio_files:
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zipf.write(audio, os.path.basename(audio))
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# Gradio interface
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interface = gr.Interface(
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fn=docx_to_wav_zip,
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inputs=[
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gr.File(label="Upload .docx File"),
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gr.Dropdown(choices=list(VOICE_MODELS.keys()), label="Choose
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],
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outputs=gr.File(label="Download
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title="
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description="Upload a .docx file
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)
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if __name__ == "__main__":
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interface.launch()
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import os
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import tempfile
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import zipfile
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from docx import Document
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from TTS.api import TTS
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from pydub import AudioSegment
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import gradio as gr
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# Available TTS models with voice descriptions
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VOICE_MODELS = {
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"Jenny (Expressive Female)": "tts_models/en/jenny/jenny",
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"LJSpeech (Standard Female)": "tts_models/en/ljspeech/vits",
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"VCTK (Multiple Speakers)": "tts_models/en/vctk/vits"
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}
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# Function to update speaker choices based on the selected model
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def update_speaker_choices(selected_voice):
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if selected_voice == "VCTK (Multiple Speakers)":
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return ["Speaker 1", "Speaker 2", "Speaker 3"] # Modify with actual speaker names or indices
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return ["Default Speaker"]
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def docx_to_wav_zip(doc_file, selected_voice, speaker_name):
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# Load the selected TTS model
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tts = TTS(model_name=VOICE_MODELS[selected_voice], progress_bar=False, gpu=False)
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# Extract text from .docx
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document = Document(doc_file.name)
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full_text = "\n".join([para.text for para in document.paragraphs if para.text.strip()])
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# Generate temporary paths
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_wav:
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wav_path = tmp_wav.name
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zip_path = wav_path.replace(".wav", ".zip")
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# Get speaker index (this part assumes speaker names are like 'Speaker 1', 'Speaker 2', etc.)
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speaker_idx = int(speaker_name.split()[-1]) - 1 if speaker_name.startswith("Speaker") else 0
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# Generate speech with the selected speaker index
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tts.tts_to_file(text=full_text, speaker_idx=speaker_idx, file_path=wav_path)
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# Convert wav to mp3 and zip the result
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sound = AudioSegment.from_wav(wav_path)
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sound.export(wav_path, format="wav") # keeping the wav format
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# Zip the files
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with zipfile.ZipFile(zip_path, 'w') as zipf:
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zipf.write(wav_path, os.path.basename(wav_path))
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return zip_path
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# Gradio interface
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interface = gr.Interface(
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fn=docx_to_wav_zip,
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inputs=[
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gr.File(label="Upload .docx File"),
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gr.Dropdown(choices=list(VOICE_MODELS.keys()), label="Choose Voice", value="Jenny (Expressive Female)"),
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gr.Dropdown(choices=update_speaker_choices("VCTK (Multiple Speakers)"), label="Choose Speaker", value="Speaker 1") # Example
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],
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outputs=gr.File(label="Download Zip File"),
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title="Realistic Voiceover from DOCX (Multiple Voices)",
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description="Upload a .docx file, choose a realistic voice, and pick a speaker to generate a voiceover in WAV format."
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)
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if __name__ == "__main__":
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interface.launch()
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