Update app.py

app.py

@@ -11,7 +11,9 @@ from datetime import datetime
 
 # Import our custom modules
 from segmenter import TextSegmenter
-from tts_engine import NariDIAEngine
+# --- CHANGE START ---
+from tts_engine import CPUMultiSpeakerTTS # Updated class name
+# --- CHANGE END ---
 from audio_utils import AudioProcessor
 
 # Configure logging
@@ -21,7 +23,9 @@ logger = logging.getLogger(__name__)
 class PodXplainApp:
     def __init__(self):
         self.segmenter = TextSegmenter()
-        self.tts_engine = NariDIAEngine()
+        # --- CHANGE START ---
+        self.tts_engine = CPUMultiSpeakerTTS() # Updated class instantiation
+        # --- CHANGE END ---
         self.audio_processor = AudioProcessor()
         self.temp_dir = None
         
@@ -169,12 +173,15 @@ def create_gradio_interface():
     }
     """
     
-    with gr.Blocks(css=css, title="PodXplain - Text to Podcast") as interface:
+    with gr.Blocks(css=css, title="PodXplainClone - CPU Podcast Generator") as interface: # Updated title
         # Header
         gr.HTML("""
         <div class="header">
-            <h1>🎙️ PodXplain</h1>
-            <p><em>From script to story — voice it like never before.</em></p>
+            <h1>🎙️ PodXplainClone</h1>
+            <p><em>From script to story — voice it like never before, even on CPU.</em></p> <p style="font-size: 0.9em; margin-top: 10px;">
+                This space allows you to transform written dialogue into natural-sounding multi-speaker audio, optimized for CPU hardware.
+                It serves as a **CPU-friendly alternative and development sandbox** while the main PodXplain project awaits GPU resources for more advanced models.
+            </p>
         </div>
         """)
         
@@ -222,7 +229,7 @@ def create_gradio_interface():
         # Footer with instructions
         gr.HTML("""
         <div class="footer">
-            <h3>📋 How to Use PodXplain</h3>
+            <h3>📋 How to Use PodXplainClone</h3>
             <ol>
                 <li><strong>Write your script:</strong> Enter up to 50,000 characters of text</li>
                 <li><strong>Choose speaker mode:</strong> Auto-detect, paragraph-based, or dialogue-based</li>
@@ -231,6 +238,8 @@ def create_gradio_interface():
             </ol>
             <p><strong>💡 Tips:</strong> Use clear paragraph breaks for better speaker detection. 
             Write naturally as if speaking to an audience.</p>
+            <p style="font-size: 0.8em; color: #999;">Powered by PodXplainClone &bull; Developed by Nick021402</p>
+            <p style="font-size: 0.7em; color: #aaa;">This space runs on CPU hardware for accessibility. For the original project and GPU-powered advanced models, visit the main PodXplain space.</p>
         </div>
         """)