12 Oct Gitex 2024

tabs/speech_stress_analysis.py

@@ -37,7 +37,6 @@ def analyze_voice_stress(audio_file):
         print(f"Variance Pitches: {var_pitches}")
 
         # Normalize each variance using Z-Score Standardization
-        # These parameters should be calibrated based on a representative dataset
         mfccs_mean = 1000
         mfccs_std = 500
         energy_mean = 0.005
@@ -113,14 +112,15 @@ def create_voice_stress_tab():
     with gr.Row():
         with gr.Column(scale=2):
             input_audio = gr.Audio(label="Input Audio", type="filepath")
-            with gr.Row():
-                clear_btn = gr.Button("Clear", scale=1)
-                submit_btn = gr.Button("Analyze", scale=1, elem_classes="submit")
+            clear_btn = gr.Button("Clear", scale=1)
         with gr.Column(scale=1):
             output_stress = gr.Label(label="Stress Level")
             output_plot = gr.Image(label="Stress Analysis Plot")
 
-    submit_btn.click(analyze_voice_stress, inputs=[input_audio], outputs=[output_stress, output_plot])
+    # Automatically trigger analysis when an audio file is uploaded
+    input_audio.change(analyze_voice_stress, inputs=[input_audio], outputs=[output_stress, output_plot])
+
     clear_btn.click(lambda: (None, None), outputs=[input_audio, output_stress, output_plot])
 
     gr.Examples(["./assets/audio/fitness.wav"], inputs=[input_audio])
+