Update app.py

app.py

@@ -95,18 +95,24 @@ def generate_image(api_key, text):
     else:
         return None
 ####
-    
+
 # Create the Gradio interface
-with gr.Blocks() as interface:
-    gr.Markdown("Emotional Machines test: Load or Record an audio file to speech emotion analysis")
-    with gr.Tabs():
-        with gr.Tab("Acoustic and Semantic Predictions"):
-            with gr.Row():
-                input_audio = gr.Audio(label="Input Audio", type="filepath")
-                submit_button = gr.Button("Submit")
-            output_label = [gr.Label("Prediction"), gr.Image(type='pil')]  # Use a single Label instead of a list
-
-    # Set the function to be called when the button is clicked
-    submit_button.click(get_predictions, inputs=input_audio, outputs=output_label)
-
-interface.launch()
+iface = gr.Interface(
+    title = 'Emotional Machines Test', 
+    fn=get_predictions, 
+    inputs=[
+        gr.inputs.Audio(source="file", label="Input Audio for Emotion Analysis", type="file"),
+        gr.inputs.Audio(source="microphone", label="Speak for Speech Recognition", type="file")
+    ],
+    outputs=[
+        gr.outputs.Textbox(label="Emotion Prediction"),
+        gr.outputs.Image(label="Generated Image"),
+        gr.outputs.Textbox(label="Speech Recognition")
+    ],
+    description="Load or Record an audio file to perform emotion analysis and speech recognition"
+)
+
+# Launch the interface
+iface.launch()
+
+