Update app.py

app.py

@@ -1,75 +1,41 @@
-import re
-import os
-import io
-import tempfile
 import gradio as gr
+from elevenlabs import generate, save
 from langdetect import detect, LangDetectException
-from elevenlabs import ElevenLabs
-
-# Initialize ElevenLabs client
-# Make sure to set ELEVEN_API_KEY in your environment or as a Gradio secret
-client = ElevenLabs(api_key=os.getenv("ELEVEN_API_KEY"))
+import tempfile
+import datetime
 
-def filename_from_text(text, max_words=4):
-    """
-    Create a safe filename from text.
-    """
-    cleaned_text = re.sub(r"[^\w\s]", "", text)
-    words = cleaned_text.split()
-    if not words:
-        return "output.mp3"
-    first_n_words = words[:max_words]
-    return "-".join(first_n_words).lower() + ".mp3"
+# Your ElevenLabs API key (replace with your own)
+ELEVENLABS_API_KEY = "YOUR_API_KEY"
 
-def generate_tts(text):
+def text_to_speech(text: str):
     if not text.strip():
         return None
 
-    # Detect language
+    # Auto language detection
     try:
         lang = detect(text)
     except LangDetectException:
         lang = "en"
 
+    # Generate a timestamped MP3 filename
+    timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
+    tmp_file = tempfile.NamedTemporaryFile(delete=False, suffix=f"_{lang}_{timestamp}.mp3")
+    
     # Generate audio with ElevenLabs
-    audio_chunks = client.text_to_speech.convert(
-        voice_id="XKey9vV4E16dmR6ojpyy",  # Replace with your preferred voice ID
-        output_format="mp3_44100_128",
-        text=text,
-        model_id="eleven_multilingual_v2"
-    )
-
-    # Save audio to in-memory buffer
-    mp3_bytes = io.BytesIO()
-    for chunk in audio_chunks:
-        mp3_bytes.write(chunk)
-    mp3_bytes.seek(0)
-
-    # Save to temp file with custom name
-    tmp_dir = tempfile.mkdtemp()
-    out_filename = filename_from_text(text)
-    file_path = os.path.join(tmp_dir, out_filename)
-    with open(file_path, "wb") as f:
-        f.write(mp3_bytes.getbuffer())
-
-    # Return filepath for Gradio to play/download
-    return file_path, file_path
-
-# Gradio interface
-with gr.Blocks(title="🗣️ Text → ElevenLabs TTS with Auto Language Detection") as demo:
-    gr.Markdown("## Enter text and generate speech (MP3) with ElevenLabs TTS")
-
-    text_input = gr.Textbox(label="Enter text", lines=3, placeholder="Type something…")
+    audio_data = generate(text=text, voice="alloy", model="eleven_multilingual_v1", api_key=ELEVENLABS_API_KEY)
+    
+    # Save to file
+    save(audio_data, tmp_file.name)
+    return tmp_file.name
+
+with gr.Blocks(title="🗣️ Text → Neural Voice (ElevenLabs)") as demo:
+    gr.Markdown("## 🗣️ Text → Neural Voice with Auto Language Detection")
+    
+    text_input = gr.Textbox(label="Enter text", lines=3, placeholder="Type anything…")
     generate_btn = gr.Button("🔊 Generate", variant="primary")
     audio_output = gr.Audio(label="Generated Audio", type="filepath")
-    download_output = gr.File(label="Download MP3")
-
-    generate_btn.click(
-        generate_tts,
-        inputs=text_input,
-        outputs=[audio_output, download_output],
-        show_progress="minimal"
-    )
+    
+    generate_btn.click(text_to_speech, inputs=text_input, outputs=audio_output)
 
 if __name__ == "__main__":
     demo.launch()