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Update app.py

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  1. app.py +0 -14
app.py CHANGED
@@ -1,8 +1,3 @@
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- """
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- OCR Application with Multiple Models including DeepSeek OCR
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- Merged version with working DeepSeek implementation
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- """
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-
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  import os
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  import time
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  import torch
@@ -293,7 +288,6 @@ def generate_image(model_name: str, text: str, image: Image.Image,
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  top_p: Nucleus sampling parameter
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  top_k: Top-k sampling parameter
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  repetition_penalty: Penalty for repeating tokens
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- deepseek_preset: Preset for DeepSeek model
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  Yields:
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  tuple: (raw_text, markdown_text)
@@ -516,14 +510,6 @@ if __name__ == "__main__":
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  - **Nanonets-OCR2-3B**: Nanonets OCR model
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  - **Chandra-OCR**: Datalab OCR model
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  - **Dots.OCR**: Stranger Vision OCR model
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- - **DeepSeek-OCR**: DeepSeek AI's OCR model (uses native inference method)
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-
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- ### DeepSeek-OCR Presets:
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- - **Gundam** (Recommended): Balanced performance with crop mode
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- - **Base**: Standard quality without cropping
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- - **Large**: Highest quality for complex documents
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- - **Small**: Faster processing, good for simple text
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- - **Tiny**: Fastest, suitable for clear printed text
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  """)
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  # Event handler to show/hide DeepSeek preset based on model selection
 
 
 
 
 
 
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  import os
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  import time
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  import torch
 
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  top_p: Nucleus sampling parameter
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  top_k: Top-k sampling parameter
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  repetition_penalty: Penalty for repeating tokens
 
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  Yields:
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  tuple: (raw_text, markdown_text)
 
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  - **Nanonets-OCR2-3B**: Nanonets OCR model
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  - **Chandra-OCR**: Datalab OCR model
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  - **Dots.OCR**: Stranger Vision OCR model
 
 
 
 
 
 
 
 
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  """)
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  # Event handler to show/hide DeepSeek preset based on model selection