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Update app.py
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app.py
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@@ -1,6 +1,5 @@
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import gradio as gr
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from TTS.utils.synthesizer import Synthesizer
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from TTS.tts.configs.vits_config import VitsConfig
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from huggingface_hub import hf_hub_download
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import os
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import json
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@@ -10,22 +9,27 @@ def load_eng_model():
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repo_id = "E-motionAssistant/text-to-speech-VITS-english"
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print(f"--- Downloading English Model ---")
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model_path = hf_hub_download(repo_id=repo_id, filename="best_model.pth")
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config_path = hf_hub_download(repo_id=repo_id, filename="config.json")
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#
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print("
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#
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syn = Synthesizer(
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tts_checkpoint=model_path,
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tts_config_path=
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use_cuda=False
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)
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@@ -35,7 +39,6 @@ def load_eng_model():
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# --- Global Initialization ---
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print("Starting English TTS Startup...")
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try:
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# eng_tts is now a Synthesizer object
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eng_tts = load_eng_model()
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print("--- SUCCESS: ENGLISH MODEL LOADED ---")
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except Exception as e:
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@@ -43,18 +46,14 @@ except Exception as e:
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eng_tts = None
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def generate_voice(text):
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if
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return None
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try:
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output_path = os.path.join(os.getcwd(), "
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# Synthesizer uses 'tts' instead of 'tts_to_file'
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# It returns a list of audio samples
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wav = eng_tts.tts(text=str(text))
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# We save the wav samples to a file
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eng_tts.save_wav(wav, output_path)
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return output_path
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except Exception as e:
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print(f"Generation Error: {e}")
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@@ -63,9 +62,9 @@ def generate_voice(text):
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# Gradio Interface
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demo = gr.Interface(
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fn=generate_voice,
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inputs=gr.Textbox(label="Input English Text"),
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outputs=gr.Audio(label="Synthesized Speech", type="filepath"),
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title="English VITS TTS
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)
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if __name__ == "__main__":
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import gradio as gr
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from TTS.utils.synthesizer import Synthesizer
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from huggingface_hub import hf_hub_download
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import os
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import json
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repo_id = "E-motionAssistant/text-to-speech-VITS-english"
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print(f"--- Downloading English Model ---")
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# 1. Download original files
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model_path = hf_hub_download(repo_id=repo_id, filename="best_model.pth")
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config_path = hf_hub_download(repo_id=repo_id, filename="config.json")
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# 2. Read the config file and manually change the number to 137
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with open(config_path, 'r') as f:
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config_dict = json.load(f)
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print("Fixing character count: 131 -> 137")
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config_dict["model_args"]["num_chars"] = 137
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# 3. Save this as a NEW file (a physical path the library will accept)
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fixed_config_path = os.path.join(os.getcwd(), "fixed_config.json")
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with open(fixed_config_path, 'w') as f:
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json.dump(config_dict, f)
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# 4. Initialize the Synthesizer using the PATH to our new file
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print("Building Synthesizer with fixed_config.json path...")
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syn = Synthesizer(
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tts_checkpoint=model_path,
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tts_config_path=fixed_config_path, # This is now a STRING path
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use_cuda=False
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)
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# --- Global Initialization ---
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print("Starting English TTS Startup...")
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try:
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eng_tts = load_eng_model()
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print("--- SUCCESS: ENGLISH MODEL LOADED ---")
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except Exception as e:
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eng_tts = None
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def generate_voice(text):
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if not eng_tts:
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return None
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try:
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output_path = os.path.join(os.getcwd(), "output.wav")
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# Generate the audio samples
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wav = eng_tts.tts(text=str(text))
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# Save samples to a .wav file
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eng_tts.save_wav(wav, output_path)
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return output_path
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except Exception as e:
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print(f"Generation Error: {e}")
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# Gradio Interface
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demo = gr.Interface(
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fn=generate_voice,
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inputs=gr.Textbox(label="Input English Text", placeholder="Hello world!"),
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outputs=gr.Audio(label="Synthesized Speech", type="filepath"),
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title="English VITS TTS"
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)
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if __name__ == "__main__":
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