voices

README.md

@@ -1,18 +1,14 @@
----
-title: Speech analysis
-emoji: 💤
+title: heritage TTS
+emoji: 🏛️
 colorFrom: gray
 colorTo: gray
 sdk: gradio
 sdk_version: 5.41.1
 app_file: app.py
-short_description: TTS for CPU
+short_description: https://shift-europe.eu/
 license: cc-by-nc-4.0
 tags:
-- non-AR
-- affective
-- shift
-- tts
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+  - non-AR
+  - affective
+  - shift
+  - tts

app.py

@@ -59,56 +59,56 @@ def audionar_tts(text=None,
 
 
     if text is None or text.strip() == '':
-        text = 'No Audio or Txt Input'
-
-
+        
+        x = np.zeros(4 * 16000, dtype=np.float32)  # If no txt 4s of audiogen
 
+    else:
 
-    if lang not in language_names:  # StyleTTS2
-        
-        text = only_greek_or_only_latin(text, lang='eng')
+        if lang not in language_names:  # StyleTTS2
+            
+            text = only_greek_or_only_latin(text, lang='eng')
 
-        x = _tts.inference(text,
-                           ref_s='wav/' + lang + '.wav')[0, 0, :].numpy()  # 24 Khz
-        
-        if x.shape[0] > 10:
+            x = _tts.inference(text,
+                            ref_s='wav/' + lang + '.wav')[0, 0, :].numpy()  # 24 Khz
+            
+            if x.shape[0] > 10:
 
-            x = audresample.resample(signal=x.astype(np.float32),
-                                     original_rate=24000,
-                                     target_rate=16000)[0, :]   # 16 KHz
-    
-    else:  # VITS
+                x = audresample.resample(signal=x.astype(np.float32),
+                                        original_rate=24000,
+                                        target_rate=16000)[0, :]   # 16 KHz
         
-        lang_code = lang_map.get(lang.lower(), lang.lower().split()[0].strip())
+        else:  # VITS
+            
+            lang_code = lang_map.get(lang.lower(), lang.lower().split()[0].strip())
 
-        global cached_lang_code, cached_net_g, cached_tokenizer
+            global cached_lang_code, cached_net_g, cached_tokenizer
 
-        if 'cached_lang_code' not in globals() or cached_lang_code != lang_code:
-            cached_lang_code = lang_code
-            cached_net_g = VitsModel.from_pretrained(f'facebook/mms-tts-{lang_code}').eval()
-            cached_tokenizer = VitsTokenizer.from_pretrained(f'facebook/mms-tts-{lang_code}')
+            if 'cached_lang_code' not in globals() or cached_lang_code != lang_code:
+                cached_lang_code = lang_code
+                cached_net_g = VitsModel.from_pretrained(f'facebook/mms-tts-{lang_code}').eval()
+                cached_tokenizer = VitsTokenizer.from_pretrained(f'facebook/mms-tts-{lang_code}')
 
-        net_g = cached_net_g
-        tokenizer = cached_tokenizer
-        text = only_greek_or_only_latin(text, lang=lang_code)
-        text = transliterate_number(text, lang=lang_code)
-        text = fix_vocals(text, lang=lang_code)
+            net_g = cached_net_g
+            tokenizer = cached_tokenizer
+            text = only_greek_or_only_latin(text, lang=lang_code)
+            text = transliterate_number(text, lang=lang_code)
+            text = fix_vocals(text, lang=lang_code)
 
 
-        sentences = textwrap.wrap(text, width=439)
+            sentences = textwrap.wrap(text, width=439)
 
-        total_audio_parts = []
-        for sentence in sentences:
-            inputs = cached_tokenizer(sentence, return_tensors="pt")
-            with torch.no_grad():
-                audio_part = cached_net_g(
-                    input_ids=inputs.input_ids,
-                    attention_mask=inputs.attention_mask,
-                    lang_code=lang_code,
-                )[0, :]
-            total_audio_parts.append(audio_part)
+            total_audio_parts = []
+            for sentence in sentences:
+                inputs = cached_tokenizer(sentence, return_tensors="pt")
+                with torch.no_grad():
+                    audio_part = cached_net_g(
+                        input_ids=inputs.input_ids,
+                        attention_mask=inputs.attention_mask,
+                        lang_code=lang_code,
+                    )[0, :]
+                total_audio_parts.append(audio_part)
 
-        x = torch.cat(total_audio_parts).cpu().numpy()
+            x = torch.cat(total_audio_parts).cpu().numpy()
 
 
     if soundscape and soundscape.strip():
@@ -164,334 +164,93 @@ def audionar_tts(text=None,
 
 
 # TTS
-# VOICES = [f'wav/{vox}' for vox in os.listdir('wav')]
-# add unidecode (to parse non-roman characters for the StyleTTS2 
-# # for the VITS it should better skip the unknown letters - dont use unidecode())
-# at generation fill the state of "last tts"
-#    at record fill the state of "last record" and place in list of voice/langs for TTS
-VOICES = ['jv_ID_google-gmu_04982.wav', 
-        'it_IT_mls_1595.wav', 
-        'en_US_vctk_p303.wav', 
-        'en_US_vctk_p306.wav', 
-        'it_IT_mls_8842.wav', 
-        'en_US_cmu_arctic_ksp.wav', 
-        'jv_ID_google-gmu_05970.wav', 
-        'en_US_vctk_p318.wav', 
-        'ha_NE_openbible.wav', 
-        'ne_NP_ne-google_0883.wav', 
-        'en_US_vctk_p280.wav', 
-        'bn_multi_1010.wav', 
-        'en_US_vctk_p259.wav', 
-        'it_IT_mls_844.wav', 
-        'en_US_vctk_p269.wav', 
-        'en_US_vctk_p285.wav', 
-        'de_DE_m-ailabs_angela_merkel.wav', 
-        'en_US_vctk_p316.wav', 
-        'en_US_vctk_p362.wav', 
-        'jv_ID_google-gmu_06207.wav', 
-        'tn_ZA_google-nwu_9061.wav', 
-        'fr_FR_tom.wav', 
-        'en_US_vctk_p233.wav', 
-        'it_IT_mls_4975.wav', 
-        'en_US_vctk_p236.wav', 
-        'bn_multi_01232.wav', 
-        'bn_multi_5958.wav', 
-        'it_IT_mls_9185.wav', 
-        'en_US_vctk_p248.wav', 
-        'en_US_vctk_p287.wav', 
-        'it_IT_mls_9772.wav', 
-        'te_IN_cmu-indic_sk.wav', 
-        'tn_ZA_google-nwu_8333.wav', 
-        'en_US_vctk_p260.wav', 
-        'en_US_vctk_p247.wav', 
-        'en_US_vctk_p329.wav', 
-        'en_US_cmu_arctic_fem.wav', 
-        'en_US_cmu_arctic_rms.wav', 
-        'en_US_vctk_p308.wav', 
-        'jv_ID_google-gmu_08736.wav', 
-        'en_US_vctk_p245.wav', 
-        'fr_FR_m-ailabs_nadine_eckert_boulet.wav', 
-        'jv_ID_google-gmu_03314.wav', 
-        'en_US_vctk_p239.wav', 
-        'jv_ID_google-gmu_05540.wav', 
-        'it_IT_mls_7440.wav', 
-        'en_US_vctk_p310.wav', 
-        'en_US_vctk_p237.wav', 
-        'en_US_hifi-tts_92.wav', 
-        'en_US_cmu_arctic_aew.wav', 
-        'ne_NP_ne-google_2099.wav', 
-        'en_US_vctk_p226.wav', 
-        'af_ZA_google-nwu_1919.wav', 
-        'jv_ID_google-gmu_03727.wav', 
-        'en_US_vctk_p317.wav', 
-        'tn_ZA_google-nwu_0378.wav', 
-        'nl_pmk.wav', 
-        'en_US_vctk_p286.wav', 
-        'tn_ZA_google-nwu_3342.wav', 
-        # 'en_US_vctk_p343.wav', 
-        'de_DE_m-ailabs_ramona_deininger.wav', 
-        'jv_ID_google-gmu_03424.wav', 
-        'en_US_vctk_p341.wav', 
-        'jv_ID_google-gmu_03187.wav', 
-        'ne_NP_ne-google_3960.wav', 
-        'jv_ID_google-gmu_06080.wav', 
-        'ne_NP_ne-google_3997.wav', 
-        # 'en_US_vctk_p267.wav', 
-        'en_US_vctk_p240.wav', 
-        'ne_NP_ne-google_5687.wav', 
-        'ne_NP_ne-google_9407.wav', 
-        'jv_ID_google-gmu_05667.wav', 
-        'jv_ID_google-gmu_01519.wav', 
-        'ne_NP_ne-google_7957.wav', 
-        'it_IT_mls_4705.wav', 
-        'ne_NP_ne-google_6329.wav', 
-        'it_IT_mls_1725.wav', 
-        'tn_ZA_google-nwu_8914.wav', 
-        'en_US_ljspeech.wav', 
-        'tn_ZA_google-nwu_4850.wav', 
-        'en_US_vctk_p238.wav', 
-        'en_US_vctk_p302.wav', 
-        'jv_ID_google-gmu_08178.wav', 
-        'en_US_vctk_p313.wav', 
-        'af_ZA_google-nwu_2418.wav', 
-        'bn_multi_00737.wav', 
-        'en_US_vctk_p275.wav', # y
-        'af_ZA_google-nwu_0184.wav', 
-        'jv_ID_google-gmu_07638.wav', 
-        'ne_NP_ne-google_6587.wav', 
-        'ne_NP_ne-google_0258.wav', 
-        'en_US_vctk_p232.wav', 
-        'en_US_vctk_p336.wav', 
-        'jv_ID_google-gmu_09039.wav', 
-        'en_US_vctk_p312.wav', 
-        'af_ZA_google-nwu_8148.wav', 
-        'en_US_vctk_p326.wav', 
-        'en_US_vctk_p264.wav', 
-        'en_US_vctk_p295.wav', 
-        # 'en_US_vctk_p298.wav', 
-        'es_ES_m-ailabs_victor_villarraza.wav', 
-        'pl_PL_m-ailabs_nina_brown.wav', 
-        'tn_ZA_google-nwu_9365.wav', 
-        'en_US_vctk_p294.wav', 
-        'jv_ID_google-gmu_00658.wav', 
-        'jv_ID_google-gmu_08305.wav', 
-        'en_US_vctk_p330.wav', 
-        'gu_IN_cmu-indic_cmu_indic_guj_dp.wav', 
-        'jv_ID_google-gmu_05219.wav', 
-        'en_US_vctk_p284.wav', 
-        'de_DE_m-ailabs_eva_k.wav', 
-        # 'bn_multi_00779.wav', 
-        'en_UK_apope.wav', 
-        'en_US_vctk_p345.wav', 
-        'it_IT_mls_6744.wav', 
-        'en_US_vctk_p347.wav', 
-        'en_US_m-ailabs_mary_ann.wav', 
-        'en_US_m-ailabs_elliot_miller.wav', 
-        'en_US_vctk_p279.wav', 
-        'ru_RU_multi_nikolaev.wav', 
-        'bn_multi_4811.wav', 
-        'tn_ZA_google-nwu_7693.wav', 
-        'bn_multi_01701.wav', 
-        'en_US_vctk_p262.wav', 
-        # 'en_US_vctk_p266.wav', 
-        'en_US_vctk_p243.wav', 
-        'en_US_vctk_p297.wav', 
-        'en_US_vctk_p278.wav', 
-        'jv_ID_google-gmu_02059.wav', 
-        'en_US_vctk_p231.wav', 
-        'te_IN_cmu-indic_kpn.wav', 
-        'en_US_vctk_p250.wav', 
-        'it_IT_mls_4974.wav', 
-        'en_US_cmu_arctic_awbrms.wav', 
-        # 'en_US_vctk_p263.wav', 
-        'nl_femal.wav', 
-        'tn_ZA_google-nwu_6116.wav', 
-        'jv_ID_google-gmu_06383.wav', 
-        'en_US_vctk_p225.wav', 
-        'en_US_vctk_p228.wav', 
-        'it_IT_mls_277.wav', 
-        'tn_ZA_google-nwu_7866.wav', 
-        'en_US_vctk_p300.wav', 
-        'ne_NP_ne-google_0649.wav', 
-        'es_ES_carlfm.wav', 
-        'jv_ID_google-gmu_06510.wav', 
-        'de_DE_m-ailabs_rebecca_braunert_plunkett.wav', 
-        'en_US_vctk_p340.wav', 
-        'en_US_cmu_arctic_gka.wav', 
-        'ne_NP_ne-google_2027.wav', 
-        'jv_ID_google-gmu_09724.wav', 
-        'en_US_vctk_p361.wav', 
-        'ne_NP_ne-google_6834.wav', 
-        'jv_ID_google-gmu_02326.wav', 
-        'fr_FR_m-ailabs_zeckou.wav', 
-        'tn_ZA_google-nwu_1932.wav', 
-        # 'female-20-happy.wav', 
-        'tn_ZA_google-nwu_1483.wav', 
-        'de_DE_thorsten-emotion_amused.wav', 
-        'ru_RU_multi_minaev.wav', 
-        'sw_lanfrica.wav', 
-        'en_US_vctk_p271.wav', 
-        'tn_ZA_google-nwu_0441.wav', 
-        'it_IT_mls_6001.wav', 
-        'en_US_vctk_p305.wav', 
-        'it_IT_mls_8828.wav', 
-        'jv_ID_google-gmu_08002.wav', 
-        'it_IT_mls_2033.wav', 
-        'tn_ZA_google-nwu_3629.wav', 
-        'it_IT_mls_6348.wav', 
-        'en_US_cmu_arctic_axb.wav', 
-        'it_IT_mls_8181.wav', 
-        'en_US_vctk_p230.wav', 
-        'af_ZA_google-nwu_7214.wav', 
-        'nl_nathalie.wav', 
-        'it_IT_mls_8207.wav', 
-        'ko_KO_kss.wav', 
-        'af_ZA_google-nwu_6590.wav', 
-        'jv_ID_google-gmu_00264.wav', 
-        'tn_ZA_google-nwu_6234.wav', 
-        'jv_ID_google-gmu_05522.wav', 
-        'en_US_cmu_arctic_lnh.wav', 
-        'en_US_vctk_p272.wav', 
-        'en_US_cmu_arctic_slp.wav', 
-        'en_US_vctk_p299.wav', 
-        'en_US_hifi-tts_9017.wav', 
-        'it_IT_mls_4998.wav', 
-        'it_IT_mls_6299.wav', 
-        'en_US_cmu_arctic_rxr.wav', 
-        # 'female-46-neutral.wav', 
-        'jv_ID_google-gmu_01392.wav', 
-        'tn_ZA_google-nwu_8512.wav', 
-        'en_US_vctk_p244.wav', 
-        # 'bn_multi_3108.wav', 
-        # 'it_IT_mls_7405.wav', 
-        # 'bn_multi_3713.wav', 
-        # 'yo_openbible.wav', 
-        # 'jv_ID_google-gmu_01932.wav', 
-        'en_US_vctk_p270.wav', 
-        'tn_ZA_google-nwu_6459.wav', 
-        'bn_multi_4046.wav', 
-        'en_US_vctk_p288.wav', 
-        'en_US_vctk_p251.wav', 
-        'es_ES_m-ailabs_tux.wav', 
-        'tn_ZA_google-nwu_6206.wav', 
-        'bn_multi_9169.wav', 
-        # 'en_US_vctk_p293.wav', 
-        # 'en_US_vctk_p255.wav', 
-        'af_ZA_google-nwu_8963.wav',
-        # 'en_US_vctk_p265.wav', 
-        'gu_IN_cmu-indic_cmu_indic_guj_ad.wav', 
-        'jv_ID_google-gmu_07335.wav', 
-        'en_US_vctk_p323.wav', 
-        'en_US_vctk_p281.wav', 
-        'en_US_cmu_arctic_bdl.wav', 
-        'en_US_m-ailabs_judy_bieber.wav', 
-        'it_IT_mls_10446.wav', 
-        'en_US_vctk_p261.wav', 
-        'en_US_vctk_p292.wav', 
-        'te_IN_cmu-indic_ss.wav', 
-        'en_US_vctk_p311.wav', 
-        'it_IT_mls_12428.wav', 
-        'en_US_cmu_arctic_aup.wav', 
-        'jv_ID_google-gmu_04679.wav', 
-        'it_IT_mls_4971.wav', 
-        'en_US_cmu_arctic_ljm.wav', 
-        'fa_haaniye.wav', 
-        'en_US_vctk_p339.wav', 
-        'tn_ZA_google-nwu_7896.wav', 
-        'en_US_vctk_p253.wav', 
-        'it_IT_mls_5421.wav', 
-        # 'ne_NP_ne-google_0546.wav', 
-        'vi_VN_vais1000.wav', 
-        'en_US_vctk_p229.wav', 
-        'en_US_vctk_p254.wav', 
-        'en_US_vctk_p258.wav', 
-        'it_IT_mls_7936.wav', 
-        'en_US_vctk_p301.wav', 
-        'tn_ZA_google-nwu_0045.wav', 
-        'it_IT_mls_659.wav', 
-        'tn_ZA_google-nwu_7674.wav', 
-        'it_IT_mls_12804.wav', 
-        'el_GR_rapunzelina.wav', 
-        'en_US_hifi-tts_6097.wav', 
-        'en_US_vctk_p257.wav', 
-        'jv_ID_google-gmu_07875.wav', 
-        'it_IT_mls_1157.wav', 
-        'it_IT_mls_643.wav', 
-        'en_US_vctk_p304.wav', 
-        'ru_RU_multi_hajdurova.wav', 
-        'it_IT_mls_8461.wav', 
-        'bn_multi_3958.wav', 
-        'it_IT_mls_1989.wav', 
-        'en_US_vctk_p249.wav', 
-        # 'bn_multi_0834.wav', 
-        'en_US_vctk_p307.wav', 
-        'es_ES_m-ailabs_karen_savage.wav', 
-        'fr_FR_m-ailabs_bernard.wav', 
-        'en_US_vctk_p252.wav', 
-        'en_US_cmu_arctic_jmk.wav', 
-        'en_US_vctk_p333.wav', 
-        'tn_ZA_google-nwu_4506.wav', 
-        'ne_NP_ne-google_0283.wav', 
-        'de_DE_m-ailabs_karlsson.wav', 
-        'en_US_cmu_arctic_awb.wav', 
-        'en_US_vctk_p246.wav', 
-        'en_US_cmu_arctic_clb.wav', 
-        'en_US_vctk_p364.wav', 
-        'nl_flemishguy.wav', 
-        'en_US_vctk_p276.wav', # y
-        # 'en_US_vctk_p274.wav', 
-        'fr_FR_m-ailabs_gilles_g_le_blanc.wav', 
-        'it_IT_mls_7444.wav', 
-        'style_o22050.wav', 
-        'en_US_vctk_s5.wav', 
-        'en_US_vctk_p268.wav', 
-        'it_IT_mls_6807.wav', 
-        'it_IT_mls_2019.wav', 
-        # 'male-60-angry.wav', 
-        'af_ZA_google-nwu_8924.wav', 
-        'en_US_vctk_p374.wav', 
-        'en_US_vctk_p363.wav', 
-        'it_IT_mls_644.wav', 
-        'ne_NP_ne-google_3614.wav', 
-        'en_US_vctk_p241.wav', 
-        'ne_NP_ne-google_3154.wav', 
-        'en_US_vctk_p234.wav', 
-        'it_IT_mls_8384.wav', 
-        'fr_FR_m-ailabs_ezwa.wav', 
-        'it_IT_mls_5010.wav', 
-        'en_US_vctk_p351.wav', 
-        'en_US_cmu_arctic_eey.wav', 
-        'jv_ID_google-gmu_04285.wav', 
-        'jv_ID_google-gmu_06941.wav', 
-        'hu_HU_diana-majlinger.wav', 
-        'tn_ZA_google-nwu_2839.wav', 
-        'bn_multi_03042.wav', 
-        'tn_ZA_google-nwu_5628.wav', 
-        'it_IT_mls_4649.wav', 
-        'af_ZA_google-nwu_7130.wav', 
-        'en_US_cmu_arctic_slt.wav', 
-        'jv_ID_google-gmu_04175.wav', 
-        'gu_IN_cmu-indic_cmu_indic_guj_kt.wav', 
-        'jv_ID_google-gmu_00027.wav', 
-        'jv_ID_google-gmu_02884.wav', 
-        'en_US_vctk_p360.wav', 
-        'en_US_vctk_p334.wav', 
-        # 'male-27-sad.wav', 
-        'tn_ZA_google-nwu_1498.wav', 
-        'fi_FI_harri-tapani-ylilammi.wav', 
-        'bn_multi_rm.wav', 
-        'ne_NP_ne-google_2139.wav', 
-        'pl_PL_m-ailabs_piotr_nater.wav', 
-        'fr_FR_siwis.wav', 
-        'nl_bart-de-leeuw.wav', 
-        'jv_ID_google-gmu_04715.wav', 
-        'en_US_vctk_p283.wav', 
-        'en_US_vctk_p314.wav', 
-        'en_US_vctk_p335.wav', 
-        'jv_ID_google-gmu_07765.wav', 
-        'en_US_vctk_p273.wav'
-        ]
-VOICES = [t[:-4] for t in VOICES]  # crop .wav for visuals in gr.DropDown
+
+VOICES = [
+    'jv_ID_google-gmu_04982.wav',
+    'en_US_vctk_p303.wav',
+    'en_US_vctk_p306.wav', 
+    'en_US_vctk_p318.wav',
+    'en_US_vctk_p269.wav',
+    'en_US_vctk_p316.wav',
+    'en_US_vctk_p362.wav', # cls
+    'fr_FR_tom.wav',
+    'bn_multi_5958.wav',         
+    'en_US_vctk_p287.wav',
+    'en_US_vctk_p260.wav',
+    'en_US_cmu_arctic_fem.wav', 
+    'en_US_cmu_arctic_rms.wav',
+    'fr_FR_m-ailabs_nadine_eckert_boulet.wav',
+    'en_US_vctk_p237.wav',
+    'en_US_vctk_p317.wav',
+    'tn_ZA_google-nwu_0378.wav',
+    'nl_pmk.wav',
+    'tn_ZA_google-nwu_3342.wav', 
+    'ne_NP_ne-google_3997.wav',
+    'tn_ZA_google-nwu_8914.wav',
+    'en_US_vctk_p238.wav',
+    'en_US_vctk_p275.wav',
+    'af_ZA_google-nwu_0184.wav',
+    'af_ZA_google-nwu_8148.wav',
+    'en_US_vctk_p326.wav',
+    'en_US_vctk_p264.wav',
+    'en_US_vctk_p295.wav',
+    'en_US_vctk_p294.wav', 
+    'en_US_vctk_p330.wav',
+    'gu_IN_cmu-indic_cmu_indic_guj_ad.wav', 
+    'jv_ID_google-gmu_05219.wav', 
+    'en_US_vctk_p284.wav',
+    'en_US_m-ailabs_mary_ann.wav', 
+    'bn_multi_01701.wav', 
+    'en_US_vctk_p262.wav',
+    'en_US_vctk_p243.wav',
+    'en_US_vctk_p278.wav',
+    'en_US_vctk_p250.wav',
+    'nl_femal.wav',
+    'en_US_vctk_p228.wav',
+    'ne_NP_ne-google_0649.wav',
+    'en_US_cmu_arctic_gka.wav',
+    'en_US_vctk_p361.wav',
+    'jv_ID_google-gmu_02326.wav',
+    'tn_ZA_google-nwu_1932.wav',
+    'de_DE_thorsten-emotion_amused.wav',
+    'jv_ID_google-gmu_08002.wav',
+    'tn_ZA_google-nwu_3629.wav',
+    'en_US_vctk_p230.wav',
+    'af_ZA_google-nwu_7214.wav',
+    'nl_nathalie.wav',
+    'en_US_cmu_arctic_lnh.wav', 
+    'tn_ZA_google-nwu_6459.wav',
+    'tn_ZA_google-nwu_6206.wav', 
+    'en_US_vctk_p323.wav',
+    'en_US_m-ailabs_judy_bieber.wav',
+    'en_US_vctk_p261.wav',
+    'fa_haaniye.wav',
+    # 'en_US_vctk_p339.wav', 
+    'tn_ZA_google-nwu_7896.wav',
+    'en_US_vctk_p258.wav',
+    'tn_ZA_google-nwu_7674.wav',
+    'en_US_hifi-tts_6097.wav',
+    'en_US_vctk_p304.wav',
+    'en_US_vctk_p307.wav',
+    'fr_FR_m-ailabs_bernard.wav',
+    'en_US_cmu_arctic_jmk.wav',
+    'ne_NP_ne-google_0283.wav',
+    'en_US_vctk_p246.wav',
+    'en_US_vctk_p276.wav',
+    'style_o22050.wav',
+    'en_US_vctk_s5.wav',
+    'en_US_vctk_p268.wav', # reduce clip
+    'af_ZA_google-nwu_8924.wav',
+    'en_US_vctk_p363.wav',
+    'ne_NP_ne-google_3614.wav',
+    'ne_NP_ne-google_3154.wav',
+    'en_US_cmu_arctic_eey.wav', # y fix styl
+    'tn_ZA_google-nwu_2839.wav',
+    'af_ZA_google-nwu_7130.wav',
+    'ne_NP_ne-google_2139.wav',
+    'jv_ID_google-gmu_04715.wav', 
+    'en_US_vctk_p273.wav'
+    ]
 
 _tts = StyleTTS2().to('cpu')
 
@@ -506,16 +265,16 @@ with gr.Blocks(theme='huggingface') as demo:
         )
         choice_dropdown = gr.Dropdown(
             choices=language_names + VOICES,
-            label="Select Voice or Language",
-            value=VOICES[0]
+            label="Vox",
+            value=language_names[0]
         )
         soundscape_input = gr.Textbox(
             lines=1,
-            value="frogs",
+            value="swims in lake frogs",
             label="AudioGen Txt"
         )
         kv_input = gr.Number(
-            label="Sounds diversity",
+            label="Diversy",
             value=24,
         )
         generate_button = gr.Button("Generate Audio", variant="primary")