Merge

app.py

@@ -2,6 +2,8 @@ import json
 import gradio as gr
 import os
 from PIL import Image
+import plotly.graph_objects as go
+import plotly.express as px
 
 TITLE = "Diffusion Faces Cluster Explorer"
 clusters_12 = json.load(open("clusters/id_all_blip_clusters_12.json"))
@@ -23,11 +25,23 @@ def show_cluster(cl_id, num_clusters):
     images = []
     for i in range(6):
         img_path = "/".join([st.replace("/", "") for st in cl_dct['img_path_list'][i].split("//")][3:])
-        images.append((Image.open(os.path.join("identities-images", img_path)), "_".join([img_path.split("/")[0], img_path.split("/")[-1]])))
+        images.append((Image.open(os.path.join("identities-images", img_path)), "_".join([img_path.split("/")[0], img_path.split("/")[-1]]).replace('Photo_portrait_of_an_','').replace('Photo_portrait_of_a_','').replace('SD_v2_random_seeds_identity_','(SD v.2) ').replace('dataset-identities-dalle2_','(Dall-E 2) ').replace('SD_v1.4_random_seeds_identity_','(SD v.1.4) ').replace('_',' ')))
+    model_fig = go.Figure()
+    model_fig.add_trace(go.Bar(x=list(dict(cl_dct["labels_model"]).keys()), 
+                               y=list(dict(cl_dct["labels_model"]).values()),
+                               marker_color=px.colors.qualitative.G10))
+    gender_fig = go.Figure()
+    gender_fig.add_trace(go.Bar(x=list(dict(cl_dct["labels_gender"]).keys()), 
+                                y=list(dict(cl_dct["labels_gender"]).values()),
+                                marker_color=px.colors.qualitative.G10))
+    ethnicity_fig = go.Figure()
+    ethnicity_fig.add_trace(go.Bar(x=list(dict(cl_dct["labels_ethnicity"]).keys()), 
+                                   y=list(dict(cl_dct["labels_ethnicity"]).values()), 
+                                   marker_color=px.colors.qualitative.G10))
     return (len(cl_dct['img_path_list']),
-            dict(cl_dct["labels_gender"]),
-            dict(cl_dct["labels_model"]),
-            dict(cl_dct["labels_ethnicity"]),
+            gender_fig,
+            model_fig,
+            ethnicity_fig,
             images)
 
 with gr.Blocks(title=TITLE) as demo:
@@ -42,9 +56,10 @@ with gr.Blocks(title=TITLE) as demo:
         with gr.Column():
             cluster_id = gr.Slider(minimum=0, maximum=num_clusters.value-1, step=1, value=0, label="Click to move between clusters")
             a = gr.Text(label="Number of images")
-            c = gr.Text(label="Model makeup of cluster")
-            b = gr.Text(label="Gender label makeup of cluster")
-            d = gr.Text(label="Ethnicity label makeup of cluster")
+    with gr.Row():
+            c = gr.Plot(label="Model makeup of cluster")
+            b = gr.Plot(label="Gender label makeup of cluster")
+            d = gr.Plot(label="Ethnicity label makeup of cluster")
     demo.load(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
     num_clusters.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
     cluster_id.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])

requirements.txt

@@ -1,2 +1,3 @@
 datasets[vision]
 gradio
+plotly