remove share

app.py

@@ -1,31 +1,34 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: chapt2.ipynb.
 
 # %% auto 0
-__all__ = ['learn', 'labels', 'examples', 'demo', 'predict']
+__all__ = ["learn", "labels", "examples", "demo", "predict"]
 
-# %% chapt2.ipynb 14
-from fastai.vision.all import *
 import gradio as gr
 import skimage
 
+# %% chapt2.ipynb 14
+from fastai.vision.all import *
+
 # %% chapt2.ipynb 15
-learn = load_learner('model.pkl')
+learn = load_learner("model.pkl")
 labels = learn.dls.vocab
 
+
 def predict(img):
     img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
+    pred, pred_idx, probs = learn.predict(img)
     print(pred)
     print(pred_idx)
     print(probs)
-        
+
     if probs[pred_idx] > 0.8:
         message = f"I am {round((float(probs[pred_idx])*100),4)}% confident that the picture you uploaded is me.  I am a {pred} bear."
     else:
         message = f"Hmm.. I know what a bear looks like, considering...  but do you? Try uploading an image of a bear, thank you."
-    #message = "hi"
+    # message = "hi"
     return message
 
+
 # %% chapt2.ipynb 16
 examples = ["a_bear.jpg"]
 
@@ -35,13 +38,14 @@ with demo:
     gr.Markdown("Upload an image, preferably an image of a bear...")
     with gr.Row():
         image_input = gr.Image(type="pil", shape=(512, 512), interactive=True)
-        text_output = gr.Textbox(label="Response from Bear", placeholder="I'm waiting for an image")
+        text_output = gr.Textbox(
+            label="Response from Bear", placeholder="I'm waiting for an image"
+        )
     submit_button = gr.Button("Submit")
     clear_button = gr.Button("Clear")
-    
+
     submit_button.click(predict, inputs=image_input, outputs=text_output)
     clear_button.click(lambda: None, None, image_input)
-    clear_button.click(lambda:None, None, text_output)
-
-demo.launch(share=True)
+    clear_button.click(lambda: None, None, text_output)
 
+demo.launch()