added new model

app.py

@@ -15,7 +15,7 @@ nltk.download("punkt")
 AUTH_TOKEN = os.environ["HF_TOKEN"]
 
 # download models
-url = hf_hub_url(repo_id="bookbot/grad-tts-en-ft-mixed", filename="grad_1000.pt")
+url = hf_hub_url(repo_id="bookbot/grad-tts-en-ft-Weildan-v2", filename="grad_24000.pt")
 grad_tts_model_path = cached_download(url, use_auth_token=AUTH_TOKEN)
 torch.hub.download_url_to_file(
     "https://github.com/AK391/Speech-Backbones/releases/download/v1/hifigan.pt",
@@ -66,7 +66,7 @@ generator.load_state_dict(
 )
 _ = generator.eval()
 
-cmu = cmudict.CMUDict("./Grad-TTS/resources/cmu_dictionary_id_en")
+cmu = cmudict.CMUDict("./Grad-TTS/resources/cmu_dictionary_id")
 
 with open("./Grad-TTS/checkpts/hifigan-config.json") as f:
     h = AttrDict(json.load(f))