Create app.py

app.py

@@ -0,0 +1,56 @@
+from TTS.utils.synthesizer import Synthesizer
+from huggingface_hub import hf_hub_download
+import gradio as gr
+import tempfile
+
+REPO_ID = "jhlfrfufyfn/bel-tts"
+
+my_title = "Беларускі тэкст-у-маўленне"
+my_description = "Беларускамоўны мадэль для агучвання тэкста. "
+
+be_text = "Гепарды жывуць у адкрытых і прасторных месцах, дзе ёсць шмат здабычы."
+
+my_inputs = [
+  gr.inputs.Textbox(lines=5, label="Input Text", default=be_text),
+]
+
+my_outputs = gr.outputs.Audio(type="file", label="Output Audio")
+
+def tts(text: str):
+    best_model_path = hf_hub_download(repo_id=REPO_ID, filename="model.pth") 
+    config_path = hf_hub_download(repo_id=REPO_ID, filename="config.json")
+    vocoder_path = hf_hub_download(repo_id=REPO_ID, filename="vocoder.pth")
+    scale_stats_path = hf_hub_download(repo_id=REPO_ID, filename="scale_stats.npy")
+    vocoder_config_path = hf_hub_download(repo_id=REPO_ID, filename="vocoder_config.json")
+    
+    # init synthesizer  
+    synthesizer = Synthesizer(
+        best_model_path,
+        config_path,
+        None,
+        None,
+        vocoder_path,
+        vocoder_config_path,
+        None,
+        None,
+        False
+    )
+
+    # create audio file
+    wavs = synthesizer.tts(text)
+    with tempfile.NamedTemporaryFile(suffix = ".wav", delete = False) as fp:
+        synthesizer.save_wav(wavs, fp)                      
+    return fp.name 
+
+
+iface = gr.Interface(
+    fn=tts, 
+    inputs=my_inputs, 
+    outputs=my_outputs, 
+    title=my_title, 
+    description = my_description, 
+    article = "",
+    examples = "", 
+    allow_flagging=False
+)
+iface.launch()