Upload lightonai_LightOnOCR-1B-1025_1.py with huggingface_hub

lightonai_LightOnOCR-1B-1025_1.py

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+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "diffusers",
+#     "sentence-transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    # Get a test image
+    image_url = "https://jeroen.github.io/images/testocr.png"
+    response = requests.get(image_url)
+    image = Image.open(BytesIO(response.content)).convert("RGB")
+    
+    display(image)
+    
+    # Run inference
+    messages = [{"role": "user", "content": [{"type": "image"}]}]
+    text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    
+    inputs = processor(text=[text], images=[image], return_tensors="pt").to(device)
+    inputs["pixel_values"] = inputs["pixel_values"].to(torch.bfloat16)
+    
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=1024,
+    )
+    
+    input_length = inputs['input_ids'].shape[1]
+    generated_text = processor.tokenizer.decode(outputs[0, input_length:], skip_special_tokens=True)
+    
+    print("============\n")
+    print(generated_text)
+    with open('lightonai_LightOnOCR-1B-1025_1.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in lightonai_LightOnOCR-1B-1025_1.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/lightonai_LightOnOCR-1B-1025_1.txt|lightonai_LightOnOCR-1B-1025_1.txt>',
+    )
+
+    with open('lightonai_LightOnOCR-1B-1025_1.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+# Get a test image
+image_url = "https://jeroen.github.io/images/testocr.png"
+response = requests.get(image_url)
+image = Image.open(BytesIO(response.content)).convert("RGB")
+
+display(image)
+
+# Run inference
+messages = [{"role": "user", "content": [{"type": "image"}]}]
+text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+
+inputs = processor(text=[text], images=[image], return_tensors="pt").to(device)
+inputs["pixel_values"] = inputs["pixel_values"].to(torch.bfloat16)
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=1024,
+)
+
+input_length = inputs['input_ids'].shape[1]
+generated_text = processor.tokenizer.decode(outputs[0, input_length:], skip_special_tokens=True)
+
+print("============\n")
+print(generated_text)
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='lightonai_LightOnOCR-1B-1025_1.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='lightonai_LightOnOCR-1B-1025_1.txt',
+        repo_type='dataset',
+    )