Update app.py

app.py

@@ -16,7 +16,7 @@ if not IS_DUPLICATE:
 
 CHAR_LIMIT = None if IS_DUPLICATE else 5000
 models = {gpu: KModel().to('cuda' if gpu else 'cpu').eval() for gpu in [False] + ([True] if CUDA_AVAILABLE else [])}
-pipelines = {lang_code: KPipeline(lang_code=lang_code, model=False) for lang_code in 'ab'}
+pipelines = {lang_code: KPipeline(lang_code=lang_code, model=False) for lang_code in 'abefhip'}
 pipelines['a'].g2p.lexicon.golds['kokoro'] = 'kˈOkəɹO'
 pipelines['b'].g2p.lexicon.golds['kokoro'] = 'kˈQkəɹQ'
 
@@ -37,7 +37,7 @@ def generate_first(text, voice='af_heart', speed=1, use_gpu=CUDA_AVAILABLE):
     for _, ps, _ in pipeline_output:
         print("[ENTER LOOPING]", ps)
         ref_s = pack[len(ps)-1]
-        ps = text
+        ps = text[5:-2]
         try:
             if use_gpu:
                 audio = forward_gpu(ps, ref_s, speed)
@@ -76,7 +76,7 @@ def generate_all(text, voice='af_heart', speed=1, use_gpu=CUDA_AVAILABLE):
     first = True
     for _, ps, _ in pipeline(text, voice, speed):
         ref_s = pack[len(ps)-1]
-        ps = text
+        ps = text[5:-2]
         try:
             if use_gpu:
                 audio = forward_gpu(ps, ref_s, speed)
@@ -137,11 +137,11 @@ CHOICES = {
 '🇬🇧 🚹 Fable': 'bm_fable',
 '🇬🇧 🚹 Lewis': 'bm_lewis',
 '🇬🇧 🚹 Daniel': 'bm_daniel',
-# 'Espanol':'ef_dora',
-# 'Hindi':'hf_alpha',
-# 'French':'ff_siwis',
-# 'Italian':'if_sara',
-# 'Portuguese':'pf_dora',
+'Espanol':'ef_dora',
+'Hindi':'hf_alpha',
+'French':'ff_siwis',
+'Italian':'if_sara',
+'Portuguese':'pf_dora',
 }
 for v in CHOICES.values():
     pipelines[v[0]].load_voice(v)