Update app.py

Init hindi version

app.py

@@ -24,17 +24,18 @@
 #
 #######################################################################################
 
-# This file implements an API endpoint for the Spanish Kokoro Text-to-Speech (TTS) system.
-# It provides functionality to generate TTS audio from input Spanish text using the Kokoro voice model.
+# This file implements an API endpoint for the Hindi Kokoro Text-to-Speech (TTS) system.
+# It provides functionality to generate TTS audio from input Hindi text using the Kokoro voice model.
 
 
 # Source code is based on or inspired by several projects.
 # For more details and proper attribution, please refer to the following resources:
 #
 # - [Kokoro] - [https://github.com/hexgrad/kokoro]
+# - [Misaki] - [https://github.com/hexgrad/misaki]
 # - [Kokoro-82M] - [https://huggingface.co/hexgrad/Kokoro-82M]
 # - [Kokoro-onnx] - [https://github.com/thewh1teagle/kokoro-onnx]
-# - [Misaki] - [https://github.com/hexgrad/misaki]
+
 
 
 import os
@@ -47,25 +48,26 @@ from huggingface_hub import snapshot_download
 KOKORO_REPO_ID = "leonelhs/kokoro-thewh1teagle"
 
 VOICES = {
-    '🚺 Dora':'ef_dora',
-    '🚹 Alex':'em_alex',
-    '🚹 Santa':'em_santa'
+    '🚺 Alpha':'hf_alpha',
+    '🚺 Beta':'hf_beta',
+    '🚹 Omega':'hm_omega',
+    '🚹 Psi':'hm_psi'
 }
 
 snapshot = snapshot_download(repo_id=KOKORO_REPO_ID)
 
 # Misaki G2P with espeak-ng fallback
 fallback = espeak.EspeakFallback(british=False)
-g2p = EspeakG2P(language="es")
+g2p = EspeakG2P(language="hi")
 
 # Kokoro
 model_path = os.path.join(snapshot, "kokoro-v1.0.onnx")
 voices_path = os.path.join(snapshot, "voices-v1.0.bin")
 kokoro = Kokoro(model_path, voices_path)
 
-def predict(text, voice='ef_dora', speed=1):
+def predict(text, voice='hf_alpha', speed=1):
     """
-        Generate speech audio from text input.
+        Generate speech audio from hindi text input.
 
         Parameters:
             text (string): The text to be converted into speech.
@@ -84,11 +86,11 @@ app = gr.Interface(
     predict,
     [
         gr.Textbox(label='Input Text'),
-        gr.Dropdown(list(VOICES.items()), value='ef_dora', label='Voice'),
+        gr.Dropdown(list(VOICES.items()), value='hf_alpha', label='Voice'),
         gr.Slider(minimum=0.5, maximum=2, value=1, step=0.1, label='Speed')
     ],
     gr.Audio(label='Output Audio', interactive=False, streaming=False, autoplay=True),
-    description="Kokoro TTS 🇪🇸 API Endpoint",
+    description="Kokoro TTS 🇮🇳 API Endpoint",
 )
 
 app.launch(share=False, debug=True, show_error=True, mcp_server=True)