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Update app.py
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app.py
CHANGED
@@ -5,28 +5,26 @@ import tempfile
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import os
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from typing import Dict
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def text_to_speech(text: str, voice: str) -> str:
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output_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
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communicate = edge_tts.Communicate(text, voice)
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await communicate.save(output_file.name)
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asyncio.run(generate_speech())
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return output_file.name
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def list_voices() -> Dict[str, Dict]:
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voices = edge_tts.list_voices()
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return {v['ShortName']: {'name': v['ShortName'], 'language': v['Locale']} for v in voices}
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def main():
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st.title("OpenSource Text-to-Speech App")
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st.write("Convert text to speech using various voices")
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# Text-to-Speech
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st.header("Text-to-Speech")
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text_input = st.text_area("Enter text to convert to speech:")
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voices = list_voices()
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selected_voice = st.selectbox("Select a voice:", list(voices.keys()))
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if st.button("Generate Speech"):
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@@ -34,7 +32,7 @@ def main():
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st.error("Please enter some text.")
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else:
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with st.spinner("Generating speech..."):
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output_file = text_to_speech(text_input, selected_voice)
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st.audio(output_file, format='audio/mp3')
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os.unlink(output_file) # Delete the temporary file
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@@ -43,4 +41,4 @@ def main():
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st.dataframe(voices)
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if __name__ == '__main__':
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main()
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import os
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from typing import Dict
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async def text_to_speech(text: str, voice: str) -> str:
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output_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
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communicate = edge_tts.Communicate(text, voice)
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await communicate.save(output_file.name)
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return output_file.name
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async def list_voices() -> Dict[str, Dict]:
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voices = await edge_tts.list_voices()
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return {v['ShortName']: {'name': v['ShortName'], 'language': v['Locale']} for v in voices}
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async def main():
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st.title("OpenSource Text-to-Speech App")
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st.write("Convert text to speech using various voices")
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# Get voices
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voices = await list_voices()
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# Text-to-Speech
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st.header("Text-to-Speech")
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text_input = st.text_area("Enter text to convert to speech:")
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selected_voice = st.selectbox("Select a voice:", list(voices.keys()))
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if st.button("Generate Speech"):
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st.error("Please enter some text.")
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else:
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with st.spinner("Generating speech..."):
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output_file = await text_to_speech(text_input, selected_voice)
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st.audio(output_file, format='audio/mp3')
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os.unlink(output_file) # Delete the temporary file
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st.dataframe(voices)
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if __name__ == '__main__':
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asyncio.run(main())
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