Samuel Stevens commited on
Commit
293f004
1 Parent(s): 6e5adf0

fix image height

Browse files
Files changed (1) hide show
  1. app.py +9 -4
app.py CHANGED
@@ -2,6 +2,7 @@ import collections
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  import heapq
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  import json
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  import os
 
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  import gradio as gr
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  import numpy as np
@@ -12,6 +13,10 @@ from torchvision import transforms
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  from templates import openai_imagenet_template
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  hf_token = os.getenv("HF_TOKEN")
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  model_str = "hf-hub:imageomics/bioclip"
@@ -146,13 +151,13 @@ def change_output(choice):
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  if __name__ == "__main__":
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- print("Starting.")
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  model = create_model(model_str, output_dict=True, require_pretrained=True)
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  model = model.to(device)
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- print("Created model.")
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  model = torch.compile(model)
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- print("Compiled model.")
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  tokenizer = get_tokenizer(tokenizer_str)
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@@ -167,7 +172,7 @@ if __name__ == "__main__":
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  status_msg = f"{done}/{total} ({done / total * 100:.1f}%) indexed"
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  with gr.Blocks() as app:
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- img_input = gr.Image(height=512)
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  with gr.Tab("Open-Ended"):
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  with gr.Row():
 
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  import heapq
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  import json
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  import os
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+ import logging
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  import gradio as gr
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  import numpy as np
 
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  from templates import openai_imagenet_template
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+ log_format = "[%(asctime)s] [%(levelname)s] [%(name)s] %(message)s"
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+ logging.basicConfig(level=logging.INFO, format=log_format)
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+ logger = logging.getLogger()
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+
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  hf_token = os.getenv("HF_TOKEN")
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  model_str = "hf-hub:imageomics/bioclip"
 
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  if __name__ == "__main__":
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+ logger.info("Starting.")
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  model = create_model(model_str, output_dict=True, require_pretrained=True)
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  model = model.to(device)
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+ logger.info("Created model.")
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  model = torch.compile(model)
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+ logger.info("Compiled model.")
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  tokenizer = get_tokenizer(tokenizer_str)
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  status_msg = f"{done}/{total} ({done / total * 100:.1f}%) indexed"
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  with gr.Blocks() as app:
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+ img_input = gr.Image()
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  with gr.Tab("Open-Ended"):
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  with gr.Row():