app

app.py

@@ -1,24 +1,4 @@
 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
@@ -31,9 +11,9 @@ def classify_image(image):
     pred_class, pred_idx, outputs = learn.predict(img)
     return f"Predicted class: {pred_class}"
 
-interface = gr.Interface(fn=classify_image, 
-                         inputs=gr.inputs.Image(type="file", label="Upload an Image"), 
-                         outputs="text")
 
-interface.launch()
-"""
+demo = gr.Interface(sepia, gr.Image(shape=(200, 200)), "text")
+demo.launch()
+
+
+