Update app.py

app.py

@@ -10,9 +10,9 @@ HF_TOKEN = os.environ.get("HF_TOKEN", "")
 WHISPER_SR = 16_000  # Whisper erwartet immer 16 kHz
 
 ASR_MODELS = {
-    "whisper-small  (gut, schnell)": "openai/whisper-small",
-    "whisper-large-v3 (beste Qualität)": "openai/whisper-large-v3",
-    "distil-whisper-large-v3 (empfohlen)": "distil-whisper/distil-large-v3",
+    "whisper-small  (schnell)": "openai/whisper-small",
+    "whisper-medium": "openai/whisper-medium",
+    "whisper-large-v3 (empfohlen)": "openai/whisper-large-v3",
 }
 
 _asr_cache: dict = {}   # model_id → (processor, model)
@@ -257,7 +257,7 @@ with gr.Blocks(title="🎙️ YAPPER · ZeroGPU Edition") as demo:
             )
             model_dd = gr.Dropdown(
                 choices=list(ASR_MODELS.keys()),
-                value="distil-whisper-large-v3 (empfohlen)",
+                value="whisper-large-v3 (empfohlen)",
                 label="Transkriptionsmodell",
             )
             lang_dd = gr.Dropdown(