Update app.py

app.py

@@ -2,57 +2,9 @@ import gradio as gr
 import edge_tts
 import asyncio
 import tempfile
-import os
 
 # -----------------------------
-# Core TTS helpers
-# -----------------------------
-async def get_voices():
-    voices = await edge_tts.list_voices()
-    # Keep label style similar to ElevenLabs voice list (clean, informative)
-    voice_labels = [
-        f"{v['ShortName']} - {v['Locale']} ({v['Gender']})"
-        for v in voices
-    ]
-    # Sort alphabetically for nicer UI
-    voice_labels.sort()
-    return voice_labels
-
-async def text_to_speech(text, voice, rate, pitch):
-    if not text.strip():
-        return None, "Please enter some text to synthesize."
-
-    if not voice:
-        return None, "Please select a voice."
-
-    # Voice label is like: "en-US-AriaNeural - en-US (Female)"
-    voice_short_name = voice.split(" - ")[0].strip()
-
-    rate_str = f"{rate:+d}%"
-    pitch_str = f"{pitch:+d}Hz"
-
-    communicate = edge_tts.Communicate(
-        text=text,
-        voice=voice_short_name,
-        rate=rate_str,
-        pitch=pitch_str,
-    )
-
-    # Save to temporary MP3 file
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
-        tmp_path = tmp_file.name
-        await communicate.save(tmp_path)
-
-    return tmp_path, None
-
-async def tts_interface(text, voice, rate, pitch):
-    audio, warning = await text_to_speech(text, voice, rate, pitch)
-    if warning:
-        return audio, gr.Warning(warning)
-    return audio, None
-
-# -----------------------------
-# Eburon Speech – ElevenLabs-like UI
+# Custom CSS for Eburon Speech UI
 # -----------------------------
 EBURON_CSS = """
 body {
@@ -235,12 +187,64 @@ select, input[type="range"] {
 }
 """
 
+# -----------------------------
+# Core TTS helpers
+# -----------------------------
+async def get_voices():
+    voices = await edge_tts.list_voices()
+    voice_labels = [
+        f"{v['ShortName']} - {v['Locale']} ({v['Gender']})"
+        for v in voices
+    ]
+    voice_labels.sort()
+    return voice_labels
+
+
+async def text_to_speech(text, voice, rate, pitch):
+    if not text.strip():
+        return None, "Please enter some text to synthesize."
+
+    if not voice:
+        return None, "Please select a voice."
+
+    # Voice label: "en-US-AriaNeural - en-US (Female)"
+    voice_short_name = voice.split(" - ")[0].strip()
+
+    rate_str = f"{rate:+d}%"
+    pitch_str = f"{pitch:+d}Hz"
+
+    communicate = edge_tts.Communicate(
+        text=text,
+        voice=voice_short_name,
+        rate=rate_str,
+        pitch=pitch_str,
+    )
+
+    # Save to temporary MP3 file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
+        tmp_path = tmp_file.name
+        await communicate.save(tmp_path)
+
+    return tmp_path, None
+
+
+async def tts_interface(text, voice, rate, pitch):
+    audio, warning = await text_to_speech(text, voice, rate, pitch)
+    if warning:
+        # Gradio 6: Warning modal object
+        return audio, gr.Warning(warning)
+    return audio, None
+
+
+# -----------------------------
+# Eburon Speech – ElevenLabs-like UI
+# -----------------------------
 async def create_demo():
     voices = await get_voices()
 
+    # Gradio 6: do NOT pass css to Blocks, move it to demo.launch()
     with gr.Blocks(
         analytics_enabled=False,
-        css=EBURON_CSS,
         title="Eburon Speech Studio"
     ) as demo:
         # Header
@@ -356,15 +360,22 @@ async def create_demo():
         generate_btn.click(
             fn=tts_interface,
             inputs=[text_input, voice_dropdown, rate_slider, pitch_slider],
-            outputs=[audio_output, warning_md]
+            outputs=[audio_output, warning_md],
         )
 
     return demo
 
+
 async def main():
     demo = await create_demo()
     demo.queue(default_concurrency_limit=50)
-    demo.launch(show_api=False)
+
+    # Gradio 6: css + footer_links go in launch(), show_api is removed
+    demo.launch(
+        css=EBURON_CSS,
+        footer_links=["gradio", "settings"],  # hides API link (like show_api=False)
+    )
+
 
 if __name__ == "__main__":
     asyncio.run(main())