Update app.py

app.py

@@ -100,11 +100,15 @@ async def generar(audio: UploadFile = File(...), texto: str = Form(...), lang: s
 
         gpt_cond_latent, speaker_embedding = model.get_conditioning_latents(audio_path=[ref_path])
         out = model.inference(
-            text=texto.strip(), language=lang,
-            gpt_cond_latent=gpt_cond_latent,
-            speaker_embedding=speaker_embedding,
-            temperature=0.45,
-        )
+    text=texto.strip(),
+    language=lang,
+    gpt_cond_latent=gpt_cond_latent,
+    speaker_embedding=speaker_embedding,
+    temperature=0.45,
+    top_k=50,
+    top_p=0.8,
+    repetition_penalty=5.5,
+)
         wav = np.array(out["wav"], dtype=np.float32)
 
         with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as out_tmp: