TedYeh commited on
Commit
6d2ffd2
1 Parent(s): efb05de

update app

Browse files
Files changed (2) hide show
  1. app.py +10 -9
  2. predictor.py +1 -1
app.py CHANGED
@@ -12,15 +12,16 @@ with gr.Blocks() as demo:
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  ### Input A FACE and get the body index
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  """
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  )
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- image = gr.Image(type="pil")
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- with gr.Column(scale=1, min_width=600):
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- # 設定輸出元件
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- heights = gr.Textbox(label="Heignt")
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- bust = gr.Textbox(label="Bust")
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- waist = gr.Textbox(label="Waist")
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- hips = gr.Textbox(label="Hips")
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- en_des = gr.Textbox(label="English description")
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- zh_des = gr.Textbox(label="Chinese description")
 
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  #設定按鈕
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  submit = gr.Button("Submit")
 
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  ### Input A FACE and get the body index
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  """
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  )
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+ with gr.Row():
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+ image = gr.Image(type="pil")
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+ with gr.Column(scale=1, min_width=600):
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+ # 設定輸出元件
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+ heights = gr.Textbox(label="Heignt")
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+ bust = gr.Textbox(label="Bust")
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+ waist = gr.Textbox(label="Waist")
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+ hips = gr.Textbox(label="Hips")
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+ en_des = gr.Textbox(label="English description")
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+ zh_des = gr.Textbox(label="Chinese description")
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  #設定按鈕
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  submit = gr.Button("Submit")
predictor.py CHANGED
@@ -224,7 +224,7 @@ def inference(inp_img, classes = ['big', 'small'], epoch = 6):
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  idx = preds.numpy()[0]
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  # unconditional image captioning
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- inputs = processor(inp_img, return_tensors="pt")
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  out = model_blip.generate(**inputs)
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  description = processor.decode(out[0], skip_special_tokens=True)
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  description_tw = translator.translate(description)
 
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  idx = preds.numpy()[0]
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  # unconditional image captioning
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+ inputs = processor(inp_img, return_tensors="pt").to(device)
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  out = model_blip.generate(**inputs)
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  description = processor.decode(out[0], skip_special_tokens=True)
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  description_tw = translator.translate(description)