Update app.py

app.py

@@ -98,14 +98,8 @@ 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 ----------
+# ---------- PRE-FETCH EXAMPLES (SAFE FOR GRADIO 4) ----------
 EXAMPLES = [
-    {
-        "audio_name": "PAN_F (Happy)",
-        "audio_url": "https://github.com/AI4Bharat/IndicF5/raw/refs/heads/main/prompts/PAN_F_HAPPY_00002.wav",
-        "ref_text": "ਇੱਕ ਗ੍ਰਾਹਕ ਨੇ ਸਾਡੀ ਬੇਮਿਸਾਲ ਸੇਵਾ ਬਾਰੇ ਦਿਲੋਂਗਵਾਹੀ ਦਿੱਤੀ ਜਿਸ ਨਾਲ ਸਾਨੂੰ ਅਨੰਦ ਮਹਿਸੂਸ ਹੋਇਆ।",
-        "synth_text": "ମୁଁ ଆପଣଙ୍କୁ ସ୍ୱାଗତ କରିବାକୁ ଚାହୁଁଛି, କେମିତି ଅଛନ୍ତି?"
-    },
     {
         "audio_name": "ODIA_F (Neutral)",
         "audio_url": "https://github.com/AI4Bharat/IndicF5/raw/refs/heads/main/prompts/ORI_F_WIKI_00001.wav",
@@ -119,16 +113,23 @@ EXAMPLES = [
         "synth_text": "ମୁଁ ଆଜି ବହୁତ ଖୁସି ଅଛି କାରଣ ମୋର କାମ ସଫଳ ହୋଇଛି।"
     },
     {
-        "audio_name": "TAM_F (Happy)",
-        "audio_url": "https://github.com/AI4Bharat/IndicF5/raw/refs/heads/main/prompts/TAM_F_HAPPY_00001.wav",
-        "ref_text": "நான் நெனச்ச மாதிரியே அமேசான்ல பெரிய தள்ளுபடி வந்திருக்கு. கம்மி காசுக்கே அந்தப் புது சேம்சங் மாடல வாங்கிடலாம்.",
-        "synth_text": "நான் ஒரு புதிய படத்தை பார்த்தேன், அது மிகவும் சிறந்தது."
+        "audio_name": "PAN_F (Happy)",
+        "audio_url": "https://github.com/AI4Bharat/IndicF5/raw/refs/heads/main/prompts/PAN_F_HAPPY_00002.wav",
+        "ref_text": "ਇੱਕ ਗ੍ਰਾਹਕ ਨੇ ਸਾਡੀ ਬੇਮਿਸਾਲ ਸੇਵਾ ਬਾਰੇ ਦਿਲੋਂਗਵਾਹੀ ਦਿੱਤੀ ਜਿਸ ਨਾਲ ਸਾਨੂੰ ਅਨੰਦ ਮਹਿਸੂਸ ਹੋਇਆ।",
+        "synth_text": "ମୁଁ ଆପଣଙ୍କୁ ସ୍ୱାଗତ କରିବାକୁ ଚାହୁଁଛି, କେମିତି ଅଛନ୍ତି?"
     },
 ]
 
 for ex in EXAMPLES:
     sr, data = load_audio_from_url(ex["audio_url"])
-    ex["sample_rate"], ex["audio_data"] = sr, data
+    ex["sample_rate"] = sr
+    ex["audio_data"] = data if data is not None else np.zeros((1,))  # never None
+
+# build Gradio examples list (skip broken downloads)
+examples = []
+for ex in EXAMPLES:
+    if ex["audio_data"] is not None:
+        examples.append([ex["synth_text"], (ex["sample_rate"], ex["audio_data"]), ex["ref_text"]])
 
 # ---------- GRADIO UI ----------
 with gr.Blocks() as iface:
@@ -142,8 +143,8 @@ with gr.Blocks() as iface:
         with gr.Column():
             out_audio = gr.Audio(label="Generated Speech", type="numpy")
 
-    examples = [[ex["synth_text"], (ex["sample_rate"], ex["audio_data"]), ex["ref_text"]] for ex in EXAMPLES]
-    gr.Examples(examples=examples, inputs=[text, ref_audio, ref_text], label="Pick an example:")
+    if examples:  # only show if we have valid ones
+        gr.Examples(examples=examples, inputs=[text, ref_audio, ref_text], label="Pick an example:")
 
     btn.click(synthesise_speech, inputs=[text, ref_audio, ref_text], outputs=[out_audio])