Update app.py

app.py

@@ -1,45 +1,21 @@
-import os
 import gradio as gr
-from TTS.api import TTS
-
-# Coqui license agreement
-os.environ["COQUI_TOS_AGREED"] = "1"
-
-print("⏳ XTTS-v2 model load ho raha hai...")
-tts = TTS(
-    model_name="tts_models/multilingual/multi-dataset/xtts_v2",
-    gpu=False
-)
-print("✅ Model loaded")
-
-def generate_voice(text, audio_input, language):
-    if audio_input is None:
-        return None, "⚠️ Pehle apni awaaz upload / record karein"
-
-    output_path = "output.wav"
-    tts.tts_to_file(
-        text=text,
-        speaker_wav=audio_input,
-        language=language,
-        file_path=output_path
-    )
-    return output_path, "✅ Audio ready!"
-
-with gr.Blocks(title="Deepak AI Voice Studio") as demo:
-    gr.Markdown("# 🎙️ Deepak AI Voice Studio")
-    gr.Markdown("Apni awaaz se AI voice generate karein (XTTS-v2)")
-
-    with gr.Row():
-        with gr.Column():
-            text = gr.Textbox(label="Text", lines=3)
-            voice = gr.Audio(type="filepath", label="Voice sample (5–10 sec)")
-            lang = gr.Dropdown(["hi", "en"], value="hi", label="Language")
-            btn = gr.Button("Generate")
-
-        with gr.Column():
-            out = gr.Audio(label="Output")
-            status = gr.Textbox(label="Status")
-
-    btn.click(generate_voice, [text, voice, lang], [out, status])
-
-demo.launch()
+from transformers import BarkModel, AutoProcessor
+import torch
+import scipy.io.wavfile as wav
+
+processor = AutoProcessor.from_pretrained("suno/bark")
+model = BarkModel.from_pretrained("suno/bark")
+
+def generate(text):
+    inputs = processor(text, return_tensors="pt")
+    audio = model.generate(**inputs)
+    audio = audio.cpu().numpy().squeeze()
+    wav.write("out.wav", 22050, audio)
+    return "out.wav"
+
+gr.Interface(
+    fn=generate,
+    inputs=gr.Textbox(label="Text"),
+    outputs=gr.Audio(type="filepath"),
+    title="AI Voice Generator (HF Stable)"
+).launch()