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Maps_B_IllustrisTNG_CV_z=0.00.npy

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Maps_HI_IllustrisTNG_CV_z=0.00.npy

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Maps_Mcdm_IllustrisTNG_CV_z=0.00.npy

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Maps_MgFe_IllustrisTNG_CV_z=0.00.npy

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Maps_Mgas_IllustrisTNG_CV_z=0.00.npy

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Maps_Mtot_IllustrisTNG_CV_z=0.00.npy

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Maps_P_IllustrisTNG_CV_z=0.00.npy

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Maps_Vcdm_IllustrisTNG_CV_z=0.00.npy

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Maps_Vgas_IllustrisTNG_CV_z=0.00.npy

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Maps_Z_IllustrisTNG_CV_z=0.00.npy

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Maps_ne_IllustrisTNG_CV_z=0.00.npy

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app.py

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+import numpy as np
+import sys,os
+import gradio as gr
+
+# image parameters
+height = 300
+width  = 300
+
+# this function reads and normalizes the images
+def load_normalize_images(f_images):
+
+    # load the images
+    images = np.load(f_images)
+
+    # normalize the values
+    images = np.log10(images)
+    minimum, maximum = np.min(images), np.max(images)
+    images = (images-minimum)/(maximum-minimum)
+
+    return images
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_T_IllustrisTNG_CV_z=0.00.npy'
+images1 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_B_IllustrisTNG_CV_z=0.00.npy'
+images2 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_Mgas_IllustrisTNG_CV_z=0.00.npy'
+images3 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_MgFe_IllustrisTNG_CV_z=0.00.npy'
+images4 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_Vcdm_IllustrisTNG_CV_z=0.00.npy'
+images5 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_Z_IllustrisTNG_CV_z=0.00.npy'
+images6 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_HI_IllustrisTNG_CV_z=0.00.npy'
+images7 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_Mcdm_IllustrisTNG_CV_z=0.00.npy'
+images8 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_ne_IllustrisTNG_CV_z=0.00.npy'
+images9 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_P_IllustrisTNG_CV_z=0.00.npy'
+images10 = load_normalize_images(f_images)
+
+f_images = '/mnt/ceph/users/camels/PUBLIC_RELEASE/CMD/2D_maps/data/IllustrisTNG/Maps_Vgas_IllustrisTNG_CV_z=0.00.npy'
+images11 = load_normalize_images(f_images)
+
+
+images = np.vstack([images1, images2, images3, images4, images5, images6,
+                    images7, images8, images9, images10, images11])
+
+
+# function that applies when the submit button is clicked
+def guess_field(field, correct, wrong, state):
+
+    labels = {0:'Temperature', 1:'Magnetic fields', 2:'Gas mass',
+              3:'Mg/Fe', 4:'Dark matter velocity', 5:'Metallicity',
+              6:'Neutral hydrogen', 7:'Dark matter mass', 8:'Electron density',
+              9:'Gas pressure', 10:'Gas velocity'}
+    
+    block = state//num_images_field
+    if field==labels[block]:
+        text = "Correct! This is from a %s map"%labels[block]
+        correct += 1
+    else:
+        text = "Wrong! This is from a %s map"%labels[block]
+        wrong += 1
+    return text, correct, wrong, gr.Button(interactive=False)
+
+# function that applies when the next image button is clicked
+def reset():
+    index = np.random.choice(np.arange(num_images), size=1)[0]
+    return gr.Image(value=images[index],type="numpy"), None, None, gr.Button(interactive=True), index
+    #return gr.Image(value=images[index],label="Image id: %d"%index,type="numpy"), None, None, gr.Button(interactive=True), index
+
+num_images = images.shape[0]
+num_images_field = images1.shape[0]
+
+index = np.random.choice(np.arange(num_images), size=1)[0]
+image = images[index]
+correct, wrong = 0, 0 
+
+with gr.Blocks() as demo:
+
+    state = gr.State(value=index)
+    
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(value=image, #label="Image id: %d"%index, 
+                             type="numpy", height=height, width=width)
+            results = gr.Textbox(label="Results", interactive=False)
+        with gr.Column():
+            options = gr.Radio(choices=["Temperature", "Magnetic fields", "Gas mass", "Mg/Fe", "Dark matter velocity", "Metallicity", "Neutral hydrogen", "Dark matter mass", "Electron density", "Gas pressure", "Gas velocity"],
+                               label="Which field shows the image?")
+            submit_button = gr.Button("Submit")
+            next_image = gr.Button("Next image")
+            with gr.Row():
+                correct = gr.Number(label="Correct", value=correct, interactive=False)
+                wrong   = gr.Number(label="Wrong",   value=wrong,   interactive=False)
+
+    submit_button.click(guess_field, inputs=[options, correct, wrong, state],
+                        outputs=[results, correct, wrong, submit_button])
+    next_image.click(reset, inputs=[], outputs=[image, results, options, submit_button, state])
+
+demo.launch()