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| from fastapi import FastAPI, Response | |
| from fastapi.responses import HTMLResponse | |
| import edge_tts | |
| import asyncio | |
| import uvicorn | |
| from pathlib import Path | |
| import os | |
| app = FastAPI() | |
| HTML_CONTENT = """ | |
| <!DOCTYPE html> | |
| <html lang="pt-BR"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>TSM - Texto em Voz</title> | |
| <style> | |
| * { | |
| margin: 0; | |
| padding: 0; | |
| box-sizing: border-box; | |
| font-family: Arial, sans-serif; | |
| } | |
| body { | |
| background-color: #f0f0f0; | |
| padding: 20px; | |
| } | |
| .container { | |
| max-width: 800px; | |
| margin: 0 auto; | |
| background: white; | |
| padding: 30px; | |
| border-radius: 10px; | |
| box-shadow: 0 2px 10px rgba(0,0,0,0.1); | |
| } | |
| h1 { | |
| color: #2c3e50; | |
| text-align: center; | |
| margin-bottom: 20px; | |
| } | |
| .subtitle { | |
| text-align: center; | |
| color: #666; | |
| margin-bottom: 30px; | |
| } | |
| .input-group { | |
| display: grid; | |
| grid-template-columns: 2fr 1fr; | |
| gap: 20px; | |
| margin-bottom: 20px; | |
| } | |
| @media (max-width: 768px) { | |
| .input-group { | |
| grid-template-columns: 1fr; | |
| } | |
| } | |
| textarea { | |
| width: 100%; | |
| height: 150px; | |
| padding: 15px; | |
| border: 1px solid #ddd; | |
| border-radius: 5px; | |
| resize: vertical; | |
| font-size: 16px; | |
| } | |
| .voice-selector { | |
| padding: 20px; | |
| background: #f8f9fa; | |
| border-radius: 5px; | |
| } | |
| .voice-option { | |
| display: block; | |
| margin: 10px 0; | |
| cursor: pointer; | |
| } | |
| .convert-btn { | |
| display: block; | |
| width: 100%; | |
| padding: 15px; | |
| background: #2196F3; | |
| color: white; | |
| border: none; | |
| border-radius: 5px; | |
| font-size: 16px; | |
| cursor: pointer; | |
| transition: background 0.3s; | |
| margin: 20px 0; | |
| } | |
| .convert-btn:hover { | |
| background: #1976D2; | |
| } | |
| .convert-btn:disabled { | |
| background: #ccc; | |
| cursor: not-allowed; | |
| } | |
| audio { | |
| width: 100%; | |
| margin: 20px 0; | |
| } | |
| .footer { | |
| text-align: center; | |
| margin-top: 30px; | |
| color: #666; | |
| font-size: 14px; | |
| } | |
| #loading { | |
| display: none; | |
| text-align: center; | |
| margin: 10px 0; | |
| color: #666; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1>TSM - Texto em Voz</h1> | |
| <p class="subtitle">Converta texto em fala usando vozes em português e multilíngues</p> | |
| <div class="input-group"> | |
| <div> | |
| <textarea id="text-input" placeholder="Digite o texto para converter em fala..."></textarea> | |
| </div> | |
| <div class="voice-selector"> | |
| <h3>Escolha a voz:</h3> | |
| <label class="voice-option"> | |
| <input type="radio" name="voice" value="pt-BR-AntonioNeural" checked> | |
| Antonio | |
| </label> | |
| <label class="voice-option"> | |
| <input type="radio" name="voice" value="en-US-AndrewMultilingualNeural" checked> | |
| Andrew Multilingual | |
| </label> | |
| <label class="voice-option"> | |
| <input type="radio" name="voice" value="en-US-BrianMultilingualNeural" checked> | |
| Brian Multilingual | |
| </label> | |
| <input type="radio" name="voice" value="pt-BR-FranciscaNeural"> | |
| Francisca | |
| </label> | |
| <label class="voice-option"> | |
| <input type="radio" name="voice" value="pt-BR-ThalitaNeural"> | |
| Thalita | |
| </label> | |
| <label class="voice-option"> | |
| <input type="radio" name="voice" value="en-US-AvaMultilingualNeural"> | |
| Ava Multilingual | |
| </label> | |
| <label class="voice-option"> | |
| <input type="radio" name="voice" value="en-US-EmmaMultilingualNeural"> | |
| Emma Multilingual | |
| </div> | |
| </div> | |
| <button id="convert-btn" class="convert-btn">Converter para Áudio</button> | |
| <div id="loading">Gerando áudio...</div> | |
| <audio id="audio-output" controls style="display: none;"></audio> | |
| <div class="footer"> | |
| <p>Desenvolvido por [TSM LTDA] © 2022 - 2024</p> | |
| <p>Powered by Azure Text-to-Speech</p> | |
| </div> | |
| </div> | |
| <script> | |
| const textInput = document.getElementById('text-input'); | |
| const convertBtn = document.getElementById('convert-btn'); | |
| const audioOutput = document.getElementById('audio-output'); | |
| const loading = document.getElementById('loading'); | |
| convertBtn.addEventListener('click', async () => { | |
| const text = textInput.value.trim(); | |
| if (!text) { | |
| alert('Por favor, digite algum texto para converter.'); | |
| return; | |
| } | |
| const voice = document.querySelector('input[name="voice"]:checked').value; | |
| loading.style.display = 'block'; | |
| convertBtn.disabled = true; | |
| audioOutput.style.display = 'none'; | |
| try { | |
| const response = await fetch('/synthesize', { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| }, | |
| body: JSON.stringify({ text, voice }) | |
| }); | |
| if (!response.ok) { | |
| throw new Error('Erro ao gerar áudio'); | |
| } | |
| const audioBlob = await response.blob(); | |
| const audioUrl = URL.createObjectURL(audioBlob); | |
| audioOutput.src = audioUrl; | |
| audioOutput.style.display = 'block'; | |
| } catch (error) { | |
| alert('Erro ao converter texto para fala: ' + error.message); | |
| } finally { | |
| loading.style.display = 'none'; | |
| convertBtn.disabled = false; | |
| } | |
| }); | |
| </script> | |
| </body> | |
| </html> | |
| """ | |
| async def read_root(): | |
| return HTML_CONTENT | |
| async def synthesize_speech(request_data: dict): | |
| try: | |
| text = request_data.get("text", "") | |
| voice = request_data.get("voice", "pt-BR-AntonioNeural") | |
| output_file = f"temp_{hash(text + voice)}.mp3" | |
| communicate = edge_tts.Communicate(text, voice) | |
| await communicate.save(output_file) | |
| with open(output_file, "rb") as f: | |
| audio_data = f.read() | |
| os.remove(output_file) | |
| return Response(content=audio_data, media_type="audio/mpeg") | |
| except Exception as e: | |
| return Response(content=str(e), status_code=500) | |
| if __name__ == "__main__": | |
| uvicorn.run(app, host="0.0.0.0", port=7860) |