Create app.py

app.py

@@ -0,0 +1,57 @@
+import os
+import sys
+import subprocess
+
+# 1. Clone the repo
+if not os.path.exists("LuxTTS"):
+    subprocess.run(["git", "clone", "https://github.com/ysharma3501/LuxTTS.git"])
+
+# 2. Install requirements from the cloned folder
+# We use sys.executable to ensure it installs to the Space's current environment
+subprocess.run([sys.executable, "-m", "pip", "install", "-r", "LuxTTS/requirements.txt"])
+
+# 3. Add the folder to the Python path
+# This allows 'from zipvoice.luxtts import LuxTTS' to work
+sys.path.append(os.path.abspath("LuxTTS"))
+
+import gradio as gr
+import torch
+from zipvoice.luxtts import LuxTTS
+
+# Standard setup continues...
+device = "cuda" if torch.cuda.is_available() else "cpu"
+lux_tts = LuxTTS('YatharthS/LuxTTS', device=device, threads=2)
+
+def infer(text, audio_prompt, rms, t_shift, num_steps, speed, return_smooth):
+    if audio_prompt is None or not text:
+        return None
+    
+    encoded_prompt = lux_tts.encode_prompt(audio_prompt, rms=rms)
+    final_wav = lux_tts.generate_speech(
+        text, 
+        encoded_prompt, 
+        num_steps=int(num_steps), 
+        t_shift=t_shift, 
+        speed=speed, 
+        return_smooth=return_smooth
+    )
+    return (48000, final_wav)
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# LuxTTS (Automatic Setup)")
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(label="Text", value="Hello there!")
+            input_audio = gr.Audio(label="Reference Voice", type="filepath")
+            with gr.Row():
+                rms_val = gr.Number(value=0.01, label="RMS")
+                t_shift_val = gr.Number(value=0.9, label="T-Shift")
+                steps_val = gr.Slider(1, 10, value=4, step=1, label="Steps")
+            btn = gr.Button("Synthesize")
+        with gr.Column():
+            audio_out = gr.Audio(label="Output")
+
+    btn.click(infer, [input_text, input_audio, rms_val, t_shift_val, steps_val], audio_out)
+
+demo.launch()