diffusion dropped

app.py

@@ -290,10 +290,9 @@ def get_latents(speaker_wav,voice_cleanup=False):
     # create as function as we can populate here with voice cleanup/filtering
     (
         gpt_cond_latent,
-        diffusion_conditioning,
         speaker_embedding,
     ) = model.get_conditioning_latents(audio_path=speaker_wav)
-    return gpt_cond_latent, diffusion_conditioning, speaker_embedding
+    return gpt_cond_latent, speaker_embedding
 
 def wave_header_chunk(frame_input=b"", channels=1, sample_width=2, sample_rate=24000):
     # This will create a wave header then append the frame input
@@ -337,7 +336,7 @@ def detect_language(prompt):
     return language
     
 def get_voice_streaming(prompt, language, latent_tuple, suffix="0"):
-    gpt_cond_latent, diffusion_conditioning, speaker_embedding = latent_tuple
+    gpt_cond_latent, speaker_embedding = latent_tuple
 
     try:
         t0 = time.time()