Update app.py

app.py

@@ -96,13 +96,8 @@ def synthesize_speech(text, ref_audio, ref_text):
         sf.write(temp_audio.name, audio_data, samplerate=sample_rate, format='WAV')
         temp_audio.flush()
     
-    # Load with soundfile (not torchaudio) and convert to tensor
-    wav, sr = sf.read(temp_audio.name)
-    wav = torch.from_numpy(wav).float()
-    if sr != 24000:
-        wav = torchaudio.functional.resample(wav, sr, 24000)
-    # Feed tensor directly to model – never touches torchaudio.load
-    out = model(text, ref_audio=wav.unsqueeze(0), ref_text=ref_text)
+    # Use the **original** signature – never change it
+    out = model(text, ref_audio_path=temp_audio.name, ref_text=ref_text)
              
     # Normalize output and save
     if out.dtype == np.int16: