Create app.py

app.py

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+import gradio as gr
+
+df = pd.DataFrame({'x': [1,2,3], 'y': [4,5,6]})
+
+def change_output(img):
+	if img == "Example1":
+		return "img1.png", "A man flying in the air with cars", "plot1.png", "regen1.png"
+	elif img == "Example3":
+		return "img2.jpg", "A man wearing sunglasses", "plot2.png", "regen2.png"
+	elif img == "Example2":
+		return "img3.png", "A group of people wearing suits", "plot3.png", "regen3.png"
+
+with gr.Blocks() as demo:
+	inp = gr.Dropdown(["Example1", "Example2", "Example3"], value=["Example1"], label="Example Image")
+	
+	org_img = gr.Image(value="img1.png", type="numpy", label="Stimulus", shape=(160, 90))
+	caption = gr.Label("A man flying in the air with cars", label="Caption")
+	# with gr.Row():
+	neural_plot = gr.Image(value="plot1.png", type="numpy", label="Neural Plot")
+	regen_img = gr.Image(value="regen1.png", type="numpy", label="Regenerated Image", shape=(160, 90))
+
+	inp.change(change_output, inp, [org_img, caption, regen_img, neural_plot])
+
+
+demo.launch()