Update app.py

app.py

@@ -1,12 +1,12 @@
-import tempfile
-import os
-import gradio as gr
+
+import tempfile ,os
 from TTS.config import load_config
+import gradio as gr
+
 from TTS.utils.manage import ModelManager
 from TTS.utils.synthesizer import Synthesizer
-from TTS.utils.download import download_url
 
-MODEL_NAMES = [
+MODEL_NAMES=[
     "vits male1 (best)",
     "vits female (best)",
     "vits-male",
@@ -15,47 +15,45 @@ MODEL_NAMES = [
     "glowtts-female",
     "female tacotron2"
 ]
-
 MAX_TXT_LEN = 800
-MODELS_DIRECTORY = os.path.join(os.path.dirname(__file__), "models")
-
-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/"]
-]
+model_path = os.getcwd() + "/best_model.pth"
+config_path = os.getcwd() + "/config.json"
+   
 
-for model in modelInfo:
-    model_name, model_filename, config_filename, model_url = model
-    model_directory = os.path.join(MODELS_DIRECTORY, model_name)
-    if not os.path.exists(model_directory):
-        os.makedirs(model_directory)
-    print("|> Downloading: ", model_directory)
-    download_url(model_url + model_filename, model_directory, "best_model.pth")
-    download_url(model_url + config_filename, model_directory, "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/"]
+]
 
-def tts(text: str, model_name: str):
+for d in modelInfo:
+    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):
     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
-    model_directory = os.path.join(MODELS_DIRECTORY, model_name)
-    model_path = os.path.join(model_directory, "best_model.pth")
-    config_path = os.path.join(model_directory, "config.json")
-    synthesizer = Synthesizer(model_path, config_path)
+    synthesizer = Synthesizer(
+        model_name+"/best_model.pth", model_name+"/config.json"
+    )
     if synthesizer is None:
         raise NameError("model not found")
     wavs = synthesizer.tts(text)
@@ -65,18 +63,35 @@ def tts(text: str, model_name: str):
         return fp.name
 
 
+description="""
+This is a demo of persian text to speech model.
 
-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 ��اه و مالها", "vits male1 (best)"],
-]
+**Github : https://github.com/karim23657/Persian-tts-coqui  **
+
+Models can be found here:  <br>
 
+|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)|
+
+
+"""
+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)"],
+]
 iface = gr.Interface(
     fn=tts,
     inputs=[
@@ -90,11 +105,11 @@ 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)