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f37f277
1
Parent(s):
d56e88c
Update app.py
Browse files
app.py
CHANGED
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@@ -1,5 +1,4 @@
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from fastapi import FastAPI, Response
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import HTMLResponse
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import edge_tts
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import asyncio
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@@ -9,12 +8,8 @@ import os
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app = FastAPI()
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# Servir arquivos estáticos
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app.mount("/static", StaticFiles(directory="static"), name="static")
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# HTML como string (vou mostrar o conteúdo abaixo)
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HTML_CONTENT = """
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<html lang="pt-BR">
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<head>
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<meta charset="UTF-8">
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@@ -188,7 +183,6 @@ HTML_CONTENT = """
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const voice = document.querySelector('input[name="voice"]:checked').value;
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// Mostrar loading e desabilitar botão
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loading.style.display = 'block';
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convertBtn.disabled = true;
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audioOutput.style.display = 'none';
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@@ -233,18 +227,14 @@ async def synthesize_speech(request_data: dict):
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text = request_data.get("text", "")
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voice = request_data.get("voice", "pt-BR-FranciscaNeural")
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# Gerar nome único para o arquivo
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output_file = f"temp_{hash(text + voice)}.mp3"
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# Criar comunicação com edge-tts
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communicate = edge_tts.Communicate(text, voice)
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await communicate.save(output_file)
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# Ler o arquivo
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with open(output_file, "rb") as f:
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audio_data = f.read()
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# Limpar o arquivo temporário
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os.remove(output_file)
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return Response(content=audio_data, media_type="audio/mpeg")
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@@ -252,5 +242,4 @@ async def synthesize_speech(request_data: dict):
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return Response(content=str(e), status_code=500)
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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from fastapi import FastAPI, Response
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from fastapi.responses import HTMLResponse
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import edge_tts
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import asyncio
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app = FastAPI()
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HTML_CONTENT = """
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<!DOCTYPE html>
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<html lang="pt-BR">
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<head>
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<meta charset="UTF-8">
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const voice = document.querySelector('input[name="voice"]:checked').value;
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loading.style.display = 'block';
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convertBtn.disabled = true;
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audioOutput.style.display = 'none';
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text = request_data.get("text", "")
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voice = request_data.get("voice", "pt-BR-FranciscaNeural")
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output_file = f"temp_{hash(text + voice)}.mp3"
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communicate = edge_tts.Communicate(text, voice)
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await communicate.save(output_file)
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with open(output_file, "rb") as f:
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audio_data = f.read()
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os.remove(output_file)
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return Response(content=audio_data, media_type="audio/mpeg")
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return Response(content=str(e), status_code=500)
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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