Update app.py

app.py

@@ -1,88 +1,8 @@
-import os, tempfile, wave, uuid
-from datetime import datetime
-
 import gradio as gr
-from google import genai
-from google.genai import types
-
-# ---------- Helpers ----------
-def save_wav_bytes(pcm: bytes, rate_hz: int = 24000, channels: int = 1, sample_width: int = 2) -> str:
-    name = f"tts-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{uuid.uuid4().hex[:6]}.wav"
-    path = os.path.join(tempfile.gettempdir(), name)
-    with wave.open(path, "wb") as wf:
-        wf.setnchannels(channels)         # mono
-        wf.setsampwidth(sample_width)     # 16-bit
-        wf.setframerate(rate_hz)          # 24 kHz
-        wf.writeframes(pcm)
-    return path
-
-def wav_to_mp3(wav_path: str, bitrate: str = "192k") -> str:
-    # Requiere ffmpeg (instalado vía apt.txt) y pydub
-    from pydub import AudioSegment
-    audio = AudioSegment.from_wav(wav_path)
-    mp3_path = wav_path.replace(".wav", ".mp3")
-    audio.export(mp3_path, format="mp3", bitrate=bitrate)
-    return mp3_path
-
-def synthesize(api_key: str, text: str, model: str, voice_name: str, make_mp3: bool):
-    if not api_key or not api_key.strip():
-        raise gr.Error("Falta GOOGLE_API_KEY (cárgala a la izquierda o como Secret).")
-    if not text or not text.strip():
-        raise gr.Error("El texto está vacío.")
-
-    client = genai.Client(api_key=api_key.strip())
-    resp = client.models.generate_content(
-        model=model,
-        contents=text,
-        config=types.GenerateContentConfig(
-            response_modalities=["AUDIO"],
-            speech_config=types.SpeechConfig(
-                voice_config=types.VoiceConfig(
-                    prebuilt_voice_config=types.PrebuiltVoiceConfig(voice_name=voice_name)
-                )
-            ),
-        ),
-    )
-    pcm = resp.candidates[0].content.parts[0].inline_data.data
-    wav_path = save_wav_bytes(pcm)
-    mp3_path = wav_path
-    if make_mp3:
-        mp3_path = wav_to_mp3(wav_path)
-    return wav_path, (mp3_path if make_mp3 else None), f"✅ Audio generado ({voice_name} · {model})"
-
-# ---------- UI ----------
-DEFAULT_MODEL = "gemini-2.5-flash-preview-tts"
-VOICES = ["Kore","Zephyr","Puck","Charon","Fenrir","Leda","Aoede"]
-
-with gr.Blocks(title="Gemini 2.5 · Texto a Voz") as demo:
-    gr.Markdown("# Gemini 2.5 · Texto a Voz (TTS)")
-    gr.Markdown("Convierte texto → **audio** con Gemini 2.5. Ahora también exporta **MP3**.")
-
-    with gr.Row():
-        api_key = gr.Textbox(label="GOOGLE_API_KEY", type="password", placeholder="Pega tu clave (si no está como Secret)")
-        model = gr.Textbox(label="Modelo", value=DEFAULT_MODEL, placeholder="gemini-2.5-flash-preview-tts")
-        voice = gr.Dropdown(label="Voz", choices=VOICES, value="Kore")
-    text = gr.Textbox(label="Texto", lines=5, placeholder="Escribe el texto a sintetizar…")
-    make_mp3 = gr.Checkbox(label="Exportar también MP3", value=True)
-
-    with gr.Row():
-        btn = gr.Button("Generar audio", variant="primary")
-        status = gr.Markdown("")
-
-    audio_wav = gr.Audio(label="Reproducción (WAV)", type="filepath", interactive=False)
-    dl_wav = gr.File(label="Descargar WAV")
-    dl_mp3 = gr.File(label="Descargar MP3 (si se eligió)")
-
-    def do_tts(api_key, text, model, voice, make_mp3):
-        wav_path, mp3_path, msg = synthesize(api_key, text, model, voice, make_mp3)
-        return msg, wav_path, wav_path, (mp3_path if make_mp3 else None)
 
-    btn.click(
-        do_tts,
-        inputs=[api_key, text, model, voice, make_mp3],
-        outputs=[status, audio_wav, dl_wav, dl_mp3]
-    )
+def echo(txt):
+    return f"OK: {txt}"
 
-# En Spaces no lanzamos demo.launch(); la plataforma lo maneja.
-app = demo
+# Nota: definimos el objeto a NIVEL MÓDULO
+app = gr.Interface(fn=echo, inputs="text", outputs="text", title="Smoke test")