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		Runtime error
		
	Update app.py
Browse files
    	
        app.py
    CHANGED
    
    | @@ -389,12 +389,14 @@ def start(_, calibrate_prompts, user_id, request: gr.Request): | |
| 389 | 
             
                        image = list(imageio.imiter(im))
         | 
| 390 | 
             
                        image = image[len(image)//2]
         | 
| 391 | 
             
                        im_emb, gemb = encode_space(image)
         | 
|  | |
|  | |
| 392 |  | 
| 393 | 
            -
                        tmp_df['embeddings'] = [im_emb | 
| 394 | 
            -
                        tmp_df['gemb'] = [gemb | 
| 395 | 
             
                        tmp_df['user:rating'] = [{' ': ' '}]
         | 
| 396 | 
             
                        prevs_df = pd.concat((prevs_df, tmp_df))
         | 
| 397 | 
            -
             | 
| 398 |  | 
| 399 |  | 
| 400 |  | 
| @@ -579,10 +581,10 @@ def encode_space(x): | |
| 579 | 
             
                im = torchvision.transforms.ToTensor()(x).to('cuda').unsqueeze(0)
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| 580 | 
             
                im = torch.nn.functional.interpolate(im, (224, 224))
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| 581 | 
             
                im = (im - .5) * 2
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| 582 | 
            -
                gemb = pali.vision_tower(im.to(dtype)).last_hidden_state | 
| 583 |  | 
| 584 | 
             
                print('pali_enced')
         | 
| 585 | 
            -
                return im_emb.detach().to( | 
| 586 |  | 
| 587 | 
             
            demo.launch(share=True,)
         | 
| 588 |  | 
|  | |
| 389 | 
             
                        image = list(imageio.imiter(im))
         | 
| 390 | 
             
                        image = image[len(image)//2]
         | 
| 391 | 
             
                        im_emb, gemb = encode_space(image)
         | 
| 392 | 
            +
                        im_emb = im_emb.to('cpu')
         | 
| 393 | 
            +
                        gemb = gemb.to('cpu')
         | 
| 394 |  | 
| 395 | 
            +
                        tmp_df['embeddings'] = [im_emb]
         | 
| 396 | 
            +
                        tmp_df['gemb'] = [gemb]
         | 
| 397 | 
             
                        tmp_df['user:rating'] = [{' ': ' '}]
         | 
| 398 | 
             
                        prevs_df = pd.concat((prevs_df, tmp_df))
         | 
| 399 | 
            +
                    done_init = True
         | 
| 400 |  | 
| 401 |  | 
| 402 |  | 
|  | |
| 581 | 
             
                im = torchvision.transforms.ToTensor()(x).to('cuda').unsqueeze(0)
         | 
| 582 | 
             
                im = torch.nn.functional.interpolate(im, (224, 224))
         | 
| 583 | 
             
                im = (im - .5) * 2
         | 
| 584 | 
            +
                gemb = pali.vision_tower(im.to(dtype)).last_hidden_state
         | 
| 585 |  | 
| 586 | 
             
                print('pali_enced')
         | 
| 587 | 
            +
                return im_emb.detach().to(torch.float32), gemb.detach().to(torch.float32)
         | 
| 588 |  | 
| 589 | 
             
            demo.launch(share=True,)
         | 
| 590 |  |