Update app.py

app.py

@@ -76,18 +76,18 @@ def inference(audio, prompt, model, temperature):
 
 # get audio from microphone 
 with gr.Blocks() as face:
-    with gr.Row():
-        with gr.Column():
-            audio = gr.Audio(source="microphone", type="filepath")
-            promptText = gr.inputs.Textbox(lines=15, placeholder="Enter a prompt here"),
-            dropChoice = gr.inputs.Dropdown(["text-ada-001", "text-davinci-002", "text-davinci-003", "gpt-3.5-turbo"], label="Model"),
-            sliderChoice = gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.8, step=0.1, label="Temperature")
-            transcribe_btn = gr.Button(value="Transcribe")
-        with gr.Column():
-            script = gr.Textbox(label="text...")
-            options = gr.Textbox(label="predictions...")
+    #with gr.Row():
+    with gr.Column():
+        audio = gr.Audio(source="microphone", type="filepath")
+        promptText = gr.inputs.Textbox(lines=15, placeholder="Enter a prompt here"),
+        dropChoice = gr.inputs.Dropdown(["text-ada-001", "text-davinci-002", "text-davinci-003", "gpt-3.5-turbo"], label="Model"),
+        sliderChoice = gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.8, step=0.1, label="Temperature")
+        transcribe_btn = gr.Button(value="Transcribe")
+    with gr.Column():
+        script = gr.Textbox(label="text...")
+        options = gr.Textbox(label="predictions...")
 
     transcribe_btn.click(inference, inputs=[audio, promptText, dropChoice, sliderChoice], outputs=[script, options])
-    examples = gr.Examples(examples=["Sedan, Truck, SUV", "Dalmaion, Shepherd, Lab, Mutt"])
+    #examples = gr.Examples(examples=["Sedan, Truck, SUV", "Dalmaion, Shepherd, Lab, Mutt"])
 
 face.launch()