trY

app.py

@@ -1339,6 +1339,8 @@ def _stylett2(text='Hallov worlds Far over the',
 
     return speech_audio
 
+
+
 description = (
     "Estimate **age**, **gender**, and **expression** "
     "of the speaker contained in an audio file or microphone recording.  \n"
@@ -1350,12 +1352,8 @@ description = (
     "recognises the expression dimensions arousal, dominance, and valence. "
 )
 
-# =============
-
 with gr.Blocks(theme='huggingface') as demo:
-    # This state will be used to hold the generated TTS file path
     tts_file = gr.State(value=None)
-    # This state will hold the list of examples, including the generated one
     audio_examples_state = gr.State(
         value=[
             ["wav/female-46-neutral.wav"],
@@ -1392,13 +1390,8 @@ with gr.Blocks(theme='huggingface') as demo:
         output_audio = gr.Audio(label="TTS Output")
 
         def generate_and_update_state(text, choice, soundscape, kv, current_examples):
-            # This function calls the TTS and updates the state
             audio_path = audionar_tts(text, choice, soundscape, kv)
-            
-            # Append the new audio path to the existing list of examples
             updated_examples = current_examples + [[audio_path]]
-            
-            # Return the generated audio path for the output and the updated list for the state
             return audio_path, updated_examples
 
         generate_button.click(
@@ -1417,8 +1410,7 @@ with gr.Blocks(theme='huggingface') as demo:
                     label="Audio input",
                     min_length=0.025,
                 )
-
-                # The gr.Examples component that will be dynamically updated
+                
                 audio_examples = gr.Examples(
                     examples=[
                         ["wav/female-46-neutral.wav"],
@@ -1429,9 +1421,10 @@ with gr.Blocks(theme='huggingface') as demo:
                     inputs=[input_audio_analysis],
                     label="Examples from CREMA-D, ODbL v1.0 license",
                 )
-
+                
                 gr.Markdown("Only the first two seconds of the audio will be processed.")
-                submit_btn = gr.Button(value="Submit")
+                
+                submit_btn = gr.Button(value="Submit", variant="primary")
             with gr.Column():
                 output_age = gr.Textbox(label="Age")
                 output_gender = gr.Label(label="Gender")
@@ -1439,11 +1432,9 @@ with gr.Blocks(theme='huggingface') as demo:
 
         outputs = [output_age, output_gender, output_expression]
 
-        # Function to update the examples from the state
         def load_examples_from_state(examples_list):
-            return gr.Examples.update(examples=examples_list)
+            return gr.Examples.update(examples=examples_list, label="Examples (including generated TTS)")
 
-        # This is the key: an event listener that triggers when the tab is selected
         demo.load(
             fn=load_examples_from_state,
             inputs=audio_examples_state,
@@ -1453,4 +1444,4 @@ with gr.Blocks(theme='huggingface') as demo:
 
         submit_btn.click(recognize, input_audio_analysis, outputs)
 
-demo.launch(debug=True)
+demo.launch(debug=True)