nice app

app.py

@@ -1,7 +1,44 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'prices', 'greet', 'classify_image']
+
+# %% app.ipynb 5
+from fastai.vision.all import *
 import gradio as gr
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return {
+      price: str(prices[pred]) + ' baht (' + pred + ")",
+      label: dict(zip(learn.dls.vocab, map(float, probs))),
+  }
+
+learn = load_learner(path + 'model.pkl')
+
+prices = {
+    'ฟอกกี้': 20,
+    'ฝาชี': 30,
+}
+
+
+# %% app.ipynb 8
+with gr.Blocks() as demo:
+  gr.Markdown("Use your camera or image to get price!!!")
+  with gr.Row():
+    with gr.Column():
+      image_input = gr.Image(source='webcam')
+      price_btn = gr.Button("PRICE")
+      image_input2 = gr.Image()
+      price_btn2 = gr.Button("PRICE")
+    with gr.Column():
+      price = gr.Textbox(label="ITEM PRICE")
+      label = gr.Label()
+      
+  price_btn.click(classify_image, inputs=image_input, outputs=[price, label])
+  price_btn2.click(classify_image, inputs=image_input2, outputs=[price, label])
+
+demo.launch(debug=True, share=True)