youl commited on
Commit
a98ab4d
1 Parent(s): 84d9a49

Update app.py

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Files changed (1) hide show
  1. app.py +4 -2
app.py CHANGED
@@ -76,15 +76,17 @@ def predict(img) :
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  pred = plot_img_bbox(np.array(img), nms_prediction)
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  #pred = np.array(Image.open("pred.jpg"))
 
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  # Calculate the prediction time
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  pred_time = round(timer() - start_time, 5)
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  # Return the prediction dictionary and prediction time
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- return pred
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  image = gr.components.Image()
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  out_im = gr.components.Image()
 
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  ### 4. Gradio app ###
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  # Create title, description and article strings
@@ -100,7 +102,7 @@ example_list = [["examples/" + example] for example in os.listdir("examples")]
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  # Create the Gradio demo
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  demo = gr.Interface(fn=predict, # mapping function from input to output
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  inputs= image, #gr.Image(type="pil"), # what are the inputs?
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- outputs=out_im,
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  examples=example_list,
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  title=title,
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  description=description,
 
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  pred = plot_img_bbox(np.array(img), nms_prediction)
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  #pred = np.array(Image.open("pred.jpg"))
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+ word = "Number of palm trees detected : "+str(len(nms_prediction["boxes"]))
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  # Calculate the prediction time
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  pred_time = round(timer() - start_time, 5)
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  # Return the prediction dictionary and prediction time
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+ return pred,word
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  image = gr.components.Image()
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  out_im = gr.components.Image()
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+ out_lab = gr.components.Label()
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  ### 4. Gradio app ###
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  # Create title, description and article strings
 
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  # Create the Gradio demo
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  demo = gr.Interface(fn=predict, # mapping function from input to output
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  inputs= image, #gr.Image(type="pil"), # what are the inputs?
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+ outputs=[out_im,out_lab]
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  examples=example_list,
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  title=title,
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  description=description,