Update app.py

app.py

@@ -1,12 +1,10 @@
-
-import tempfile ,os
-from TTS.config import load_config
+import tempfile, os
 import gradio as gr
-
-from TTS.utils.manage import ModelManager
+import soundfile as sf
+from TTS.utils.download import download_url
 from TTS.utils.synthesizer import Synthesizer
 
-MODEL_NAMES=[
+MODEL_NAMES = [
     "vits male1 (best)",
     "vits female (best)",
     "vits-male",
@@ -16,82 +14,64 @@ MODEL_NAMES=[
     "female tacotron2"
 ]
 MAX_TXT_LEN = 800
-model_path = os.getcwd() + "/best_model.pth"
-config_path = os.getcwd() + "/config.json"
-   
 
-
-from TTS.utils.download import download_url
-modelInfo=[
-    ["vits-male","best_model_65633.pth","config-0.json","https://huggingface.co/Kamtera/persian-tts-male-vits/resolve/main/"],
-    ["vits female (best)","checkpoint_48000.pth","config-2.json","https://huggingface.co/Kamtera/persian-tts-female-vits/resolve/main/"],
-    ["glowtts-male","best_model_77797.pth","config-1.json","https://huggingface.co/Kamtera/persian-tts-male-glow_tts/resolve/main/"],
-    ["glowtts-female","best_model.pth","config.json","https://huggingface.co/Kamtera/persian-tts-female-glow_tts/resolve/main/"],
-    ["vits male1 (best)","checkpoint_88000.pth","config.json","https://huggingface.co/Kamtera/persian-tts-male1-vits/resolve/main/"],
-    ["vits female1","checkpoint_50000.pth","config.json","https://huggingface.co/Kamtera/persian-tts-female1-vits/resolve/main/"],
-    ["female tacotron2","checkpoint_313000.pth","config-2.json","https://huggingface.co/Kamtera/persian-tts-female-tacotron2/resolve/main/"]
+# لیست مدل‌ها و لینک‌ها
+modelInfo = [
+    ["vits-male", "best_model_65633.pth", "config-0.json", "https://huggingface.co/Kamtera/persian-tts-male-vits/resolve/main/"],
+    ["vits female (best)", "checkpoint_48000.pth", "config-2.json", "https://huggingface.co/Kamtera/persian-tts-female-vits/resolve/main/"],
+    ["glowtts-male", "best_model_77797.pth", "config-1.json", "https://huggingface.co/Kamtera/persian-tts-male-glow_tts/resolve/main/"],
+    ["glowtts-female", "best_model.pth", "config.json", "https://huggingface.co/Kamtera/persian-tts-female-glow_tts/resolve/main/"],
+    ["vits male1 (best)", "checkpoint_88000.pth", "config.json", "https://huggingface.co/Kamtera/persian-tts-male1-vits/resolve/main/"],
+    ["vits female1", "checkpoint_50000.pth", "config.json", "https://huggingface.co/Kamtera/persian-tts-female1-vits/resolve/main/"],
+    ["female tacotron2", "checkpoint_313000.pth", "config-2.json", "https://huggingface.co/Kamtera/persian-tts-female-tacotron2/resolve/main/"]
 ]
 
+# دانلود مدل‌ها
 for d in modelInfo:
-    directory=d[0]
+    directory = d[0]
     if not os.path.exists(directory):
         os.makedirs(directory)
-    print("|> Downloading: ",directory)
-    download_url(
-        d[3]+d[1],directory,"best_model.pth"
-    )
-    download_url(
-        d[3]+d[2],directory,"config.json"
-    )
-def tts(text: str,model_name: str):
+    print("|> Downloading:", directory)
+    download_url(d[3] + d[1], directory, "best_model.pth")
+    download_url(d[3] + d[2], directory, "config.json")
+
+# تابع اصلی TTS
+def tts(text: str, model_name: str):
     if len(text) > MAX_TXT_LEN:
         text = text[:MAX_TXT_LEN]
         print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
-    print(text)
 
-    
-    # synthesize
     synthesizer = Synthesizer(
-        model_name+"/best_model.pth", model_name+"/config.json"
+        model_name + "/best_model.pth",
+        model_name + "/config.json"
     )
-    if synthesizer is None:
-        raise NameError("model not found")
-    wavs = synthesizer.tts(text)
-    # return output
-    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
-        synthesizer.save_wav(wavs, fp)
-        return fp.name
-
 
-description="""
-This is a demo of persian text to speech model.
-
-**Github : https://github.com/karim23657/Persian-tts-coqui  **
+    if synthesizer is None:
+        raise NameError("Model not found")
 
-Models can be found here:  <br>
+    wavs = synthesizer.tts(text)  # خروجی numpy array
 
-|Model|Dataset|
-|----|------|
-|[vits female (best)](https://huggingface.co/Kamtera/persian-tts-female-vits)|[persian-tts-dataset-famale](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)|
-|[vits male1 (best)](https://huggingface.co/Kamtera/persian-tts-male1-vits)|[persian-tts-dataset-male](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-male)|
-|[vits female1](https://huggingface.co/Kamtera/persian-tts-female1-vits)|[ParsiGoo](https://github.com/karim23657/ParsiGoo)|
-|[vits male](https://huggingface.co/Kamtera/persian-tts-male-vits)|[persian-tts-dataset](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset)|
-|[glowtts female](https://huggingface.co/Kamtera/persian-tts-female-glow_tts)|[persian-tts-dataset-famale](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)|
-|[glowtts male](https://huggingface.co/Kamtera/persian-tts-male-glow_tts)|[persian-tts-dataset](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset)|
-|[tacotron2 female](https://huggingface.co/Kamtera/persian-tts-female-tacotron2)|[persian-tts-dataset-famale](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)|
+    # ذخیره مستقیم به OGG
+    with tempfile.NamedTemporaryFile(suffix=".ogg", delete=False) as fp:
+        sf.write(fp.name, wavs, synthesizer.output_sample_rate, format="OGG", subtype="VORBIS")
+        return fp.name
 
+description = """
+این یک دمو از مدل متن به گفتار فارسی است.
 
+**Github : https://github.com/karim23657/Persian-tts-coqui**
 """
-article= ""
-examples=[
-    ["و خداوند شما را با ارسال روح در جسم زندگانی و حیات بخشید","vits-male"],
-    ["تاجر تو چه تجارت می کنی ، تو را چه که چه تجارت می کنم؟","vits female (best)"],
-    ["شیش سیخ جیگر سیخی شیش هزار","vits female (best)"],
-    ["سه شیشه شیر ، سه سیر سرشیر","vits female (best)"],
-    ["دزدی دزدید ز بز دزدی بزی ، عجب دزدی که دزدید ز بز دزدی بزی","vits male1 (best)"],
-    ["مثنوی یکی از قالب های شعری است ک هر بیت قافیه ی جداگانه دارد","vits female1"],
-    ["در گلو ماند خس او سالها، چیست آن خس مهر جاه و مالها","vits male1 (best)"],
+
+examples = [
+    ["و خداوند شما را با ارسال روح در جسم زندگانی و حیات بخشید", "vits-male"],
+    ["تاجر تو چه تجارت می کنی ، تو را چه که چه تجارت می کنم؟", "vits female (best)"],
+    ["شیش سیخ جیگر سیخی شیش هزار", "vits female (best)"],
+    ["سه شیشه شیر ، سه سیر سرشیر", "vits female (best)"],
+    ["دزدی دزدید ز بز دزدی بزی ، عجب دزدی که دزدید ز بز دزدی بزی", "vits male1 (best)"],
+    ["مثنوی یکی از قالب های شعری است ک هر بیت قافیه ی جداگانه دارد", "vits female1"],
+    ["در گلو ماند خس او سالها، چیست آن خس مهر جاه و مالها", "vits male1 (best)"],
 ]
+
 iface = gr.Interface(
     fn=tts,
     inputs=[
@@ -105,11 +85,11 @@ iface = gr.Interface(
             value="vits-female",
         ),
     ],
-    outputs=gr.Audio(label="Output",type='filepath'),
+    outputs=gr.Audio(label="Output", type='filepath'),
     examples=examples,
     title="🗣️ Persian tts 🗣️",
     description=description,
-    article=article,
     live=False
 )
-iface.launch(share=False)
+
+iface.launch(share=False)