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app.py

@@ -147,10 +147,7 @@ def diagnose_speech_hf(
 
 
 # Construct Gradio Modern Interface
-with gr.Blocks(
-    title="Anvaya | Speech Pathology Diagnostics",
-    theme=gr.themes.Soft(primary_hue="sky", neutral_hue="slate"),
-) as demo:
+with gr.Blocks(title="Anvaya | Speech Pathology Diagnostics") as demo:
     gr.Markdown("""
     # ANVAYA · Clinical Speech Pathology & Articulation Diagnostics
     ### Multi-Modal Diagnostics: Neural Disfluency · Rhotacism ('r') · Sigmatism ('s' Lisp) · Praat Vocal Phonation
@@ -161,18 +158,20 @@ with gr.Blocks(
             audio_input = gr.Audio(
                 sources=["microphone", "upload"],
                 type="filepath",
-                label="Audio Ingestion (Record or Upload Audio)",
+                label="Audio Ingestion (Record Microphone or Upload Audio)",
             )
 
             gr.Markdown("#### Single-Word Practice Presets:")
             with gr.Row():
-                for word in WORD_PRESETS[:4]:
-                    btn = gr.Button(word, size="sm")
-                    btn.click(lambda w=word: w, outputs=[audio_input])
+                btn_w1 = gr.Button("rabbit", size="sm")
+                btn_w2 = gr.Button("red", size="sm")
+                btn_w3 = gr.Button("sun", size="sm")
+                btn_w4 = gr.Button("sweet", size="sm")
             with gr.Row():
-                for word in WORD_PRESETS[4:]:
-                    btn = gr.Button(word, size="sm")
-                    btn.click(lambda w=word: w, outputs=[audio_input])
+                btn_w5 = gr.Button("three", size="sm")
+                btn_w6 = gr.Button("water", size="sm")
+                btn_w7 = gr.Button("kitten", size="sm")
+                btn_w8 = gr.Button("spot", size="sm")
 
             target_preset = gr.Dropdown(
                 choices=list(SENTENCE_PRESETS.keys()),
@@ -186,8 +185,18 @@ with gr.Blocks(
                 lines=2,
             )
 
+            # Bind Word Preset Buttons to set target phrase text
+            btn_w1.click(fn=lambda: "rabbit", outputs=[target_text])
+            btn_w2.click(fn=lambda: "red", outputs=[target_text])
+            btn_w3.click(fn=lambda: "sun", outputs=[target_text])
+            btn_w4.click(fn=lambda: "sweet", outputs=[target_text])
+            btn_w5.click(fn=lambda: "three", outputs=[target_text])
+            btn_w6.click(fn=lambda: "water", outputs=[target_text])
+            btn_w7.click(fn=lambda: "kitten", outputs=[target_text])
+            btn_w8.click(fn=lambda: "spot", outputs=[target_text])
+
             target_preset.change(
-                lambda k: SENTENCE_PRESETS.get(k, ""),
+                fn=lambda k: SENTENCE_PRESETS.get(k, ""),
                 inputs=[target_preset],
                 outputs=[target_text],
             )
@@ -200,7 +209,7 @@ with gr.Blocks(
 
             diagnose_btn = gr.Button("Run Diagnostic Analysis", variant="primary", size="lg")
 
-        with gr.Column(scale=1.3):
+        with gr.Column(scale=2):
             with gr.Row():
                 kpi_strat = gr.Textbox(label="Clinical Stratification", interactive=False)
                 kpi_fluency = gr.Textbox(label="Fluency Index", interactive=False)
@@ -219,4 +228,4 @@ with gr.Blocks(
     )
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    demo.queue().launch(server_name="0.0.0.0", server_port=7860, ssr_mode=False)