Create app.py

app.py

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+import streamlit as st
+import edge_tts
+import asyncio
+import tempfile
+import os
+from typing import Dict
+
+def text_to_speech(text: str, voice: str) -> str:
+    output_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
+
+    async def generate_speech():
+        communicate = edge_tts.Communicate(text, voice)
+        await communicate.save(output_file.name)
+
+    asyncio.run(generate_speech())
+    return output_file.name
+
+def list_voices() -> Dict[str, Dict]:
+    voices = edge_tts.list_voices()
+    return {v['ShortName']: {'name': v['ShortName'], 'language': v['Locale']} for v in voices}
+
+def main():
+    st.title("OpenSource Text-to-Speech App")
+    st.write("Convert text to speech using various voices")
+
+    # Text-to-Speech
+    st.header("Text-to-Speech")
+    text_input = st.text_area("Enter text to convert to speech:")
+    voices = list_voices()
+    selected_voice = st.selectbox("Select a voice:", list(voices.keys()))
+
+    if st.button("Generate Speech"):
+        if not text_input:
+            st.error("Please enter some text.")
+        else:
+            with st.spinner("Generating speech..."):
+                output_file = text_to_speech(text_input, selected_voice)
+                st.audio(output_file, format='audio/mp3')
+                os.unlink(output_file)  # Delete the temporary file
+
+    # List Available Voices
+    st.header("Available Voices")
+    st.dataframe(voices)
+
+if __name__ == '__main__':
+    main()