Update app.py

app.py

@@ -77,17 +77,17 @@ 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...")
-        transcribe_btn.click(inference)
-    #transcribe_btn.click(inference, inputs=[audio, promptText, dropChoice, sliderChoice], outputs=[script, options])
-    #examples = gr.Examples(examples=["Sedan, Truck, SUV", "Dalmaion, Shepherd, Lab, Mutt"])
+        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)
+        #transcribe_btn.click(inference, inputs=[audio, promptText, dropChoice, sliderChoice], outputs=[script, options])
+        #examples = gr.Examples(examples=["Sedan, Truck, SUV", "Dalmaion, Shepherd, Lab, Mutt"])
 
 face.launch()