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README.md

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+---
+title: Edge TTS
+emoji: 📝🗣️
+colorFrom: green
+colorTo: gray
+sdk: gradio
+sdk_version: 4.19.2
+app_file: app.py
+pinned: false
+license: openrail
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import edge_tts
+import gradio as gr
+import tempfile
+import anyio
+
+
+language_dict = {
+'English-Jenny (Female)': 'en-US-JennyNeural',
+ 67 lindas mensagens de amor para namorado - Pensador
+ 'Brazilian-Francisca- (Female)': 'pt-BR-FranciscaNeural',
+ 'Brazilian-Antonio- (Male)': 'pt-BR-AntonioNeural',
+ 'Brazilian-Antonio- (Male)': 'pt-BR-andrewNeural',
+ 
+'Polish (Poland)-Zofia- (Female)': 'pl-PL-ZofiaNeural',
+'Pashto (Afghanistan)-Gul Nawaz- (Male)': 'ps-AF-Gul',
+}
+
+async def text_to_speech_edge(text, language_code):
+    voice = language_dict.get(language_code, "default_voice")
+    communicate = edge_tts.Communicate(text, voice)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
+        tmp_path = tmp_file.name
+        await communicate.save(tmp_path)
+    return f"Speech synthesis completed for: {text}", tmp_path
+
+input_text = gr.Textbox(lines=5, label="Input Text")
+output_text = gr.Textbox(label="Output Text")
+output_audio = gr.Audio(type="filepath", label="Exported Audio")
+language = gr.Dropdown(choices=list(language_dict.keys()), label="Choose the Voice Model")
+
+interface = gr.Interface(
+    fn=text_to_speech_edge,
+    inputs=[input_text, language],
+    outputs=[output_text, output_audio],
+    title="Edge TTS",
+    description="Microsoft Edge Text-To-Speech (Forked & Fixed Ilaria TTS)",
+
+)
+
+if __name__ == "__main__":
+    anyio.run(interface.launch, backend="asyncio")

gitattributes

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requirements.txt

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+edge-tts
+audiosegment
+scipy
+librosa