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| # app.py | |
| # Gradio TTS demo using GroqCloud / PlayAI TTS via the OpenAI-compatible Groq endpoint | |
| import os | |
| import tempfile | |
| import requests | |
| import gradio as gr | |
| from dotenv import load_dotenv | |
| # Load .env for local use (Hugging Face Spaces ignores if not present) | |
| load_dotenv() | |
| # --- Configuration --- | |
| GROQ_API_KEY = os.environ.get("GROQ_API_KEY") | |
| GROQ_TTS_ENDPOINT = "https://api.groq.com/openai/v1/audio/speech" | |
| DEFAULT_MODEL = "playai-tts" | |
| EXAMPLE_VOICES = [ | |
| "Fritz-PlayAI", | |
| "Emma-PlayAI", | |
| "Alloy-PlayAI", | |
| ] | |
| def synthesize_text(text: str, voice: str = None, model: str = DEFAULT_MODEL, response_format: str = "wav"): | |
| """Call Groq TTS and return path to temporary audio file.""" | |
| if not GROQ_API_KEY: | |
| return None, "Missing GROQ_API_KEY environment variable. Add it in your Hugging Face Space Secrets." | |
| if not text or text.strip() == "": | |
| return None, "Please provide some text to synthesize." | |
| payload = { | |
| "model": model, | |
| "input": text, | |
| "response_format": response_format, | |
| } | |
| if voice: | |
| payload["voice"] = voice | |
| headers = { | |
| "Content-Type": "application/json", | |
| "Authorization": f"Bearer {GROQ_API_KEY}", | |
| } | |
| try: | |
| resp = requests.post(GROQ_TTS_ENDPOINT, json=payload, headers=headers, stream=True, timeout=60) | |
| except Exception as e: | |
| return None, f"Request failed: {e}" | |
| if resp.status_code != 200: | |
| try: | |
| detail = resp.json() | |
| except Exception: | |
| detail = resp.text | |
| return None, f"Groq API error ({resp.status_code}): {detail}" | |
| suffix = ".wav" if response_format == "wav" else ".mp3" | |
| tmp = tempfile.NamedTemporaryFile(delete=False, suffix=suffix) | |
| for chunk in resp.iter_content(chunk_size=8192): | |
| if chunk: | |
| tmp.write(chunk) | |
| tmp.flush() | |
| tmp.close() | |
| return tmp.name, "Synthesis successful!" | |
| with gr.Blocks(title="GroqCloud TTS — Hugging Face Space") as demo: | |
| gr.Markdown("# 🎙️ GroqCloud Text-to-Speech\nConvert your text to natural speech using Groq TTS API.") | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| txt = gr.Textbox(lines=6, label="Text", placeholder="Enter text here...") | |
| voice = gr.Dropdown(EXAMPLE_VOICES, label="Voice", value=EXAMPLE_VOICES[0]) | |
| resp_format = gr.Radio(["wav", "mp3"], value="wav", label="Output format") | |
| synth_btn = gr.Button("🔊 Synthesize") | |
| status = gr.Textbox(label="Status", interactive=False) | |
| with gr.Column(scale=2): | |
| audio_out = gr.Audio(label="Generated Audio", type="filepath") | |
| def on_synthesize(text, voice, response_format): | |
| path, msg = synthesize_text(text, voice, DEFAULT_MODEL, response_format) | |
| return path, msg | |
| synth_btn.click(on_synthesize, inputs=[txt, voice, resp_format], outputs=[audio_out, status]) | |
| # ✅ Important: launch the app! | |
| if __name__ == "__main__": | |
| demo.launch() | |