Add example audio files and update app with examples

app.py

@@ -14,13 +14,13 @@ def analyze_audio_file(audio_file):
     if not pipeline_ready:
         return (
             "Error: Pipeline not initialized. Please check the installation.",
-            "", "", "", "", ""
+            "", "", "", ""
         )
     
     if audio_file is None:
         return (
             "Please upload an audio file.",
-            "", "", "", "", ""
+            "", "", "", ""
         )
     
     try:
@@ -343,6 +343,25 @@ def create_interface():
                     size="lg"
                 )
                 
+                # Add example audio files
+                gr.HTML("""
+                <div style='margin-top: 20px; margin-bottom: 10px;'>
+                    <h4 style='margin: 0 0 8px 0; font-size: 14px; font-weight: 600; color: #111827;'>Try these examples:</h4>
+                </div>
+                """)
+                
+                examples_dir = os.path.join(os.path.dirname(__file__), "examples")
+                gr.Examples(
+                    examples=[
+                        [os.path.join(examples_dir, "read1.ogg")],
+                        [os.path.join(examples_dir, "spontaneous1.ogg")]
+                    ],
+                    inputs=[audio_input],
+                    label="",
+                    examples_per_page=2,
+                    cache_examples=False
+                )
+                
                 gr.HTML("""
                 <div style='background: white; border: 1px solid #e5e7eb; padding: 20px; border-radius: 16px; margin-top: 20px;'>
                     <h4 style='margin: 0 0 12px 0; font-size: 14px; font-weight: 600; color: #111827;'>Requirements</h4>
@@ -385,7 +404,40 @@ def create_interface():
                     
 
         
+        def show_loading():
+            loading_html = """
+<div style='background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border: 2px solid #667eea; padding: 30px; border-radius: 16px; margin: 10px 0; text-align: center;'>
+    <h2 style='color: white; margin: 0 0 15px 0; font-size: 24px; font-weight: 700;'>
+        Analyzing...
+    </h2>
+    <div style='margin-top: 20px;'>
+        <div style='display: inline-block; width: 12px; height: 12px; border-radius: 50%; background: white; margin: 0 4px; animation: pulse 1.5s ease-in-out infinite;'></div>
+        <div style='display: inline-block; width: 12px; height: 12px; border-radius: 50%; background: white; margin: 0 4px; animation: pulse 1.5s ease-in-out 0.2s infinite;'></div>
+        <div style='display: inline-block; width: 12px; height: 12px; border-radius: 50%; background: white; margin: 0 4px; animation: pulse 1.5s ease-in-out 0.4s infinite;'></div>
+    </div>
+</div>
+<style>
+@keyframes pulse {
+    0%, 100% { opacity: 0.3; transform: scale(0.8); }
+    50% { opacity: 1; transform: scale(1.2); }
+}
+</style>
+"""
+            loading_msg = " **Processing...**"
+            return loading_html, loading_msg, loading_msg, loading_msg, loading_msg
+        
         analyze_btn.click(
+            fn=show_loading,
+            inputs=None,
+            outputs=[
+                overall_output,
+                acoustic_output,
+                transcription_output,
+                speech_output,
+                ai_output,
+            ],
+            queue=False
+        ).then(
             fn=analyze_audio_file,
             inputs=[audio_input],
             outputs=[

examples/read1.ogg

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a13e626fdda037d19f32574aa244b3c5d5d8cee9a29777bdc9aa2923ff1035d2
+size 67654

examples/read4.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9dbcda832552f5051a60de21bc10dd1166cfb7039077e4108d6a8e239148ec3
+size 898430

examples/spontaneous1.ogg

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bece27541be3a7e5b09132eec245c141d26b5114a44ba3124b8678914b67345
+size 102198

pipeline.py

@@ -48,7 +48,7 @@ class AuthenticityDetectionPipeline:
         print("-" * 40)
         audio_results = self.audio_classifier.classify(audio_path)
         print(f"✓ CNN classification complete")
-        print(f"  Classification: {audio_results['classification'].upper()}")
+        print(f"  ## Classification: {audio_results['classification'].upper()}")
         print(f"  Confidence: {audio_results['confidence']*100:.1f}%")
         
         # Stage 2: Speech Analysis (Whisper for linguistic analysis)