Create app.py

app.py

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+import os
+# License agreement bypass
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+import gradio as gr
+from TTS.api import TTS
+
+# Model Load (CPU Mode)
+print("⏳ Model load ho raha hai... Isme 2-3 minute lagenge...")
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=False)
+
+def predict(text, speaker_audio):
+    output_path = "output.wav"
+    # Hindi Text to Speech generation
+    tts.tts_to_file(
+        text=text,
+        speaker_wav=speaker_audio,
+        language="hi",
+        file_path=output_path
+    )
+    return output_path
+
+# App Interface
+demo = gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Textbox(label="Hindi Text"),
+        gr.Audio(label="Reference Audio (Brian)", type="filepath")
+    ],
+    outputs=gr.Audio(label="Generated Audio"),
+    title="Jobssphere AI Voice Engine"
+)
+
+demo.launch()