Upd turbo model configs #2

app.py

@@ -34,10 +34,15 @@ pipe = pipeline(
 def transcribe(inputs, task, summarize=False):
     if inputs is None:
         raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
-
-    text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
+    try:
+        text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
+    except Exception as e:
+        raise gr.Error(f"Transcription failed: {e}")
     if summarize:
-        summary = summarize_with_gemini(text)
+        try:
+            summary = summarize_with_gemini(text)
+        except Exception as e:
+            summary = f"Summary error: {e}"
         return text, summary
     return text, ""
 
@@ -94,8 +99,16 @@ def yt_transcribe(yt_url, task, summarize=False, max_filesize=75.0):
     inputs = ffmpeg_read(inputs, pipe.feature_extractor.sampling_rate)
     inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
 
-    text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
-    summary = summarize_with_gemini(text) if summarize else ""
+    try:
+        text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
+    except Exception as e:
+        raise gr.Error(f"Transcription failed: {e}")
+    summary = ""
+    if summarize:
+        try:
+            summary = summarize_with_gemini(text)
+        except Exception as e:
+            summary = f"Summary error: {e}"
     return html_embed_str, text, summary