Update app.py

app.py

@@ -98,7 +98,7 @@ repo_id = "ai4Bharat/IndicF5"
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = AutoModel.from_pretrained(repo_id, trust_remote_code=True).to(device)
 
-# ---------- PRE-FETCH EXAMPLES (SAFE FOR GRADIO 4) ----------
+# ---------- PRE-FETCH EXAMPLES (GRADIO 4-SAFE) ----------
 EXAMPLES = [
     {
         "audio_name": "ODIA_F (Neutral)",
@@ -120,15 +120,16 @@ EXAMPLES = [
     },
 ]
 
+# download only valid audio
 for ex in EXAMPLES:
     sr, data = load_audio_from_url(ex["audio_url"])
-    ex["sample_rate"] = sr
-    ex["audio_data"] = data if data is not None else np.zeros((1,))  # never None
+    ex["sample_rate"] = sr if sr is not None else 24_000
+    ex["audio_data"]  = data if data is not None and len(data) > 0 else np.zeros(1_000)  # small dummy
 
-# build Gradio examples list (skip broken downloads)
+# build Gradio examples list (never contains None or zero-length audio)
 examples = []
 for ex in EXAMPLES:
-    if ex["audio_data"] is not None:
+    if ex["audio_data"] is not None and len(ex["audio_data"]) > 0:
         examples.append([ex["synth_text"], (ex["sample_rate"], ex["audio_data"]), ex["ref_text"]])
 
 # ---------- GRADIO UI ----------