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Update app.py
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app.py
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@@ -19,7 +19,7 @@ app = FastAPI(title="Mixed-Content OCR API", description="An API to extract text
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try:
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logger.info("Loading model and processor...")
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# Use the large model for better accuracy
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model_id = "microsoft/Florence-2-
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# NOTE: We need to trust remote code for Florence-2
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model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
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processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
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@@ -55,6 +55,7 @@ def run_ocr(image: Image.Image) -> str:
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pixel_values=inputs["pixel_values"],
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max_new_tokens=4096, # Increased token limit for long documents
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do_sample=False, # Use greedy decoding for deterministic output
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)
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# Decode the generated IDs to a string
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try:
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logger.info("Loading model and processor...")
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# Use the large model for better accuracy
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model_id = "microsoft/Florence-2-large"
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# NOTE: We need to trust remote code for Florence-2
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model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
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processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
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pixel_values=inputs["pixel_values"],
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max_new_tokens=4096, # Increased token limit for long documents
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do_sample=False, # Use greedy decoding for deterministic output
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num_beams=3
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)
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# Decode the generated IDs to a string
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