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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Blocks Flag
-emoji: 🐠
+title: blocks_flag 
+emoji: 🔥
 colorFrom: indigo
-colorTo: green
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.3.1
+
 app_file: app.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,33 @@
+import numpy as np
+import gradio as gr
+
+def sepia(input_img, strength):
+    sepia_filter = strength * np.array(
+        [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
+    ) + (1-strength) * np.identity(3)
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+callback = gr.CSVLogger()
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            img_input = gr.Image()
+            strength = gr.Slider(0, 1, 0.5)
+        img_output = gr.Image()
+    with gr.Row():
+        btn = gr.Button("Flag")
+        
+    # This needs to be called at some point prior to the first call to callback.flag()
+    callback.setup([img_input, strength, img_output], "flagged_data_points")
+
+    img_input.change(sepia, [img_input, strength], img_output)
+    strength.change(sepia, [img_input, strength], img_output)
+    
+    # We can choose which components to flag -- in this case, we'll flag all of them
+    btn.click(lambda *args: callback.flag(args), [img_input, strength, img_output], None, _preprocess=False)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+numpy