runtime error

30: 86%|████████▋ | 1.15G/1.33G [00:11<00:01, 110MB/s] Downloading (…)f7edaf83c1e79547a130: 88%|████████▊ | 1.17G/1.33G [00:11<00:01, 112MB/s] Downloading (…)f7edaf83c1e79547a130: 90%|████████▉ | 1.20G/1.33G [00:12<00:01, 103MB/s] Downloading (…)f7edaf83c1e79547a130: 91%|█████████ | 1.22G/1.33G [00:12<00:01, 95.3MB/s] Downloading (…)f7edaf83c1e79547a130: 92%|█████████▏| 1.23G/1.33G [00:12<00:01, 94.9MB/s] Downloading (…)f7edaf83c1e79547a130: 94%|█████████▎| 1.25G/1.33G [00:12<00:00, 92.0MB/s] Downloading (…)f7edaf83c1e79547a130: 95%|█████████▌| 1.27G/1.33G [00:12<00:00, 84.1MB/s] Downloading (…)f7edaf83c1e79547a130: 97%|█████████▋| 1.29G/1.33G [00:13<00:00, 90.7MB/s] Downloading (…)f7edaf83c1e79547a130: 98%|█████████▊| 1.31G/1.33G [00:13<00:00, 93.2MB/s] Downloading (…)f7edaf83c1e79547a130: 100%|█████████▉| 1.33G/1.33G [00:13<00:00, 87.4MB/s] Downloading (…)f7edaf83c1e79547a130: 100%|██████████| 1.33G/1.33G [00:13<00:00, 97.8MB/s] Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-base-printed and are newly initialized: ['encoder.pooler.dense.bias', 'encoder.pooler.dense.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Downloading (…)neration_config.json: 0%| | 0.00/190 [00:00<?, ?B/s] Downloading (…)neration_config.json: 100%|██████████| 190/190 [00:00<00:00, 41.0kB/s] Traceback (most recent call last): File "app.py", line 16, in <module> image = Image.open(requests.get(url, stream=True).raw) File "/home/user/.local/lib/python3.8/site-packages/PIL/Image.py", line 3283, in open raise UnidentifiedImageError(msg) PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fbb49148270>

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