Update app.py

app.py

@@ -0,0 +1,26 @@
+import torch
+from transformers import VitsModel, AutoTokenizer
+import gradio as gr
+
+# Load the fine-tuned model and tokenizer
+model = VitsModel.from_pretrained("HusseinBashir/fine_tuned_vits_som")
+tokenizer = AutoTokenizer.from_pretrained("HusseinBashir/fine_tuned_vits_som")
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model.to(device)
+
+# Gradio TTS function
+def tts(text):
+    inputs = tokenizer(text, return_tensors="pt").to(device)
+    with torch.no_grad():
+        output = model(**inputs).waveform.squeeze(1).cpu().numpy()
+    return output
+
+# Gradio interface for the TTS model
+iface = gr.Interface(
+    fn=tts,
+    inputs=gr.Textbox(label="Enter text"),
+    outputs=gr.Audio(label="Generated Speech"),
+    title="Fine-tuned VITS TTS",
+    description="Generate speech from text using the fine-tuned VITS model."
+)
+iface.launch()