Update app.py

app.py

@@ -1,92 +1,92 @@
-import gradio as gr
-import os
-import numpy as np
-from scipy.io.wavfile import write as write_wav
-
-# --- Configuration (same as before) ---
-# 1. List the names of your TTS models
-MODELS = ['sarvam', 'smallest', 'totaram', 'veena']
-
-# 2. List the text prompts that correspond to your numbered audio files
-TEXTS = [
-    "संविधान की प्रस्तावना में निहित मूल्यों का परिपालन प्रत्येक नागरिक का कर्तव्य है।",
-    "प्राकृतिक आपदाओं के निराकरण हेतु समुचित रणनीति आवश्यक है।",
-    "उसके अभिव्यक्तिपरक लेखन में गूढ़ दर्शन और जीवन के गहन सत्य परिलक्षित होते हैं।",
-    "किसी भी राष्ट्र की उन्नति उसके नागरिकों की कर्मठता पर निर्भर करती है।"
-]
-
-# 3. Set the path to your audio directory
-AUDIO_DIR = "audio_files"
-
-# --- Helper Function to Create Dummy Audio (same as before) ---
-def create_dummy_files_if_needed():
-    """Checks for audio files and creates silent placeholders if they don't exist."""
-    print("Checking for audio files...")
-    os.makedirs(AUDIO_DIR, exist_ok=True)
-    files_created = False
-    
-    for model in MODELS:
-        for i in range(len(TEXTS)):
-            file_path = os.path.join(AUDIO_DIR, f"{model}-{i+1}.wav")
-            if not os.path.exists(file_path):
-                if not files_created:
-                    print(f"Warning: Audio file not found. Creating a dummy silent file at '{file_path}'.")
-                    print("Replace these dummy files with your actual audio samples.")
-                    files_created = True
-                
-                samplerate = 22050
-                data = np.zeros(samplerate * 1) # 1 second of silence
-                write_wav(file_path, samplerate, data.astype(np.int16))
-    
-    if not files_created:
-        print("All audio files found successfully!")
-
-# --- Build the Gradio Interface (New and Improved) ---
-def build_app():
-    # First, ensure all audio files (or dummies) exist.
-    create_dummy_files_if_needed()
-
-    with gr.Blocks(theme=gr.themes.Soft(), title="TTS Comparison") as demo:
-        gr.Markdown(
-            """
-            # TTS Model Audio Comparison
-            Listen to audio samples generated by different models for the same text.
-            """
-        )
-
-        # --- Create the Header Row ---
-        with gr.Row():
-            # Add an empty placeholder for the "Text Prompt" column header for alignment
-            gr.Markdown("### Text Prompt")
-            # Create a header for each model
-            for model in MODELS:
-                gr.Markdown(f"### {model.capitalize()}")
-        
-        # --- Create a Row for Each Text Prompt ---
-        # Enumerate through the texts to get both an index (i) and the text content
-        for i, text in enumerate(TEXTS):
-            with gr.Row(variant="panel"):
-                # Column 1: The text prompt
-                gr.Textbox(
-                    value=text, 
-                    label="Text Prompt", 
-                    interactive=False, 
-                    lines=3,
-                    show_label=False # The header row already provides context
-                )
-
-                # Subsequent Columns: The audio players for each model
-                for model in MODELS:
-                    # Construct the correct audio file path for this row and column
-                    audio_path = os.path.join(AUDIO_DIR, f"{model}-{i+1}.wav")
-                    gr.Audio(
-                        value=audio_path,
-                        label=model.capitalize(), # Label is good for accessibility
-                        show_label=False # Hide label for a cleaner look
-                    )
-                    
-    return demo
-
-if __name__ == "__main__":
-    app = build_app()
+import gradio as gr
+import os
+import numpy as np
+from scipy.io.wavfile import write as write_wav
+
+# --- Configuration (same as before) ---
+# 1. List the names of your TTS models
+MODELS = ['sarvam', 'smallest', 'IndicVox', 'veena']
+
+# 2. List the text prompts that correspond to your numbered audio files
+TEXTS = [
+    "संविधान की प्रस्तावना में निहित मूल्यों का परिपालन प्रत्येक नागरिक का कर्तव्य है।",
+    "प्राकृतिक आपदाओं के निराकरण हेतु समुचित रणनीति आवश्यक है।",
+    "उसके अभिव्यक्तिपरक लेखन मे��� गूढ़ दर्शन और जीवन के गहन सत्य परिलक्षित होते हैं।",
+    "किसी भी राष्ट्र की उन्नति उसके नागरिकों की कर्मठता पर निर्भर करती है।"
+]
+
+# 3. Set the path to your audio directory
+AUDIO_DIR = "audio_files"
+
+# --- Helper Function to Create Dummy Audio (same as before) ---
+def create_dummy_files_if_needed():
+    """Checks for audio files and creates silent placeholders if they don't exist."""
+    print("Checking for audio files...")
+    os.makedirs(AUDIO_DIR, exist_ok=True)
+    files_created = False
+    
+    for model in MODELS:
+        for i in range(len(TEXTS)):
+            file_path = os.path.join(AUDIO_DIR, f"{model}-{i+1}.wav")
+            if not os.path.exists(file_path):
+                if not files_created:
+                    print(f"Warning: Audio file not found. Creating a dummy silent file at '{file_path}'.")
+                    print("Replace these dummy files with your actual audio samples.")
+                    files_created = True
+                
+                samplerate = 22050
+                data = np.zeros(samplerate * 1) # 1 second of silence
+                write_wav(file_path, samplerate, data.astype(np.int16))
+    
+    if not files_created:
+        print("All audio files found successfully!")
+
+# --- Build the Gradio Interface (New and Improved) ---
+def build_app():
+    # First, ensure all audio files (or dummies) exist.
+    create_dummy_files_if_needed()
+
+    with gr.Blocks(theme=gr.themes.Soft(), title="TTS Comparison") as demo:
+        gr.Markdown(
+            """
+            # TTS Model Audio Comparison
+            Listen to audio samples generated by different models for the same text.
+            """
+        )
+
+        # --- Create the Header Row ---
+        with gr.Row():
+            # Add an empty placeholder for the "Text Prompt" column header for alignment
+            gr.Markdown("### Text Prompt")
+            # Create a header for each model
+            for model in MODELS:
+                gr.Markdown(f"### {model.capitalize()}")
+        
+        # --- Create a Row for Each Text Prompt ---
+        # Enumerate through the texts to get both an index (i) and the text content
+        for i, text in enumerate(TEXTS):
+            with gr.Row(variant="panel"):
+                # Column 1: The text prompt
+                gr.Textbox(
+                    value=text, 
+                    label="Text Prompt", 
+                    interactive=False, 
+                    lines=3,
+                    show_label=False # The header row already provides context
+                )
+
+                # Subsequent Columns: The audio players for each model
+                for model in MODELS:
+                    # Construct the correct audio file path for this row and column
+                    audio_path = os.path.join(AUDIO_DIR, f"{model}-{i+1}.wav")
+                    gr.Audio(
+                        value=audio_path,
+                        label=model.capitalize(), # Label is good for accessibility
+                        show_label=False # Hide label for a cleaner look
+                    )
+                    
+    return demo
+
+if __name__ == "__main__":
+    app = build_app()
     app.launch()