Create app.py

app.py

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+import gradio as gr
+import os
+from TTS.utils.synthesizer import Synthesizer
+from huggingface_hub import hf_hub_download
+
+# 1. Grab the secret key you hid in the settings
+hf_token = os.environ.get("HF_TOKEN")
+
+# 2. Quietly download the brain from your private vault
+repo_id = "UpCoder/behruz-vits-v3-private"
+
+try:
+    print("Downloading model files...")
+    model_path = hf_hub_download(repo_id=repo_id, filename="checkpoint_43000.pth", token=hf_token)
+    config_path = hf_hub_download(repo_id=repo_id, filename="config.json", token=hf_token)
+except Exception as e:
+    print(f"Error downloading files: {e}")
+
+# 3. Load the AI (We set use_cuda=False because the free cloud tier doesn't have a GPU!)
+print("Loading AI Model...")
+synthesizer = Synthesizer(
+    tts_checkpoint=model_path,
+    tts_config_path=config_path,
+    use_cuda=False 
+)
+
+# 4. The function that generates the audio
+def synthesize_voice(text):
+    wav = synthesizer.tts(text)
+    output_file = "output.wav"
+    synthesizer.save_wav(wav, output_file)
+    return output_file
+
+# 5. Build the beautiful User Interface
+iface = gr.Interface(
+    fn=synthesize_voice,
+    inputs=gr.Textbox(label="Enter Uzbek Text Here", lines=3, placeholder="Salom, bu mening raqamli ovozim..."),
+    outputs=gr.Audio(label="Generated Audio"),
+    title="🎙️ Behruz's Digital Voice Clone",
+    description="Type any Uzbek sentence below to hear it spoken by an AI trained on my real voice! (Note: Generation takes a few seconds on the free tier).",
+    theme="huggingface"
+)
+
+iface.launch()