prueba

app.py

@@ -1,4 +1,24 @@
 import gradio as gr
+
+
+import numpy as np
+import gradio as gr
+
+def sepia(input_img):
+    sepia_filter = np.array([
+        [0.393, 0.769, 0.189], 
+        [0.349, 0.686, 0.168], 
+        [0.272, 0.534, 0.131]
+    ])
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+demo = gr.Interface(sepia, gr.Image(shape=(200, 200)), "image")
+demo.launch()
+
+
+"""
 from fastai.learner import load_learner
 from fastai.vision.core import PILImage
 from huggingface_hub import hf_hub_download
@@ -16,3 +36,4 @@ interface = gr.Interface(fn=classify_image,
                          outputs="text")
 
 interface.launch()
+"""