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Update inference.py
Browse files- inference.py +5 -3
inference.py
CHANGED
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@@ -28,14 +28,14 @@ def process_document(image):
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tokenize=False, # so that this can return string output
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add_generation_prompt=True # if true it will add extra on start and end
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)
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print(f"The text of inference is {text}")
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inputs = processor(
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text=[text],
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images=[image],
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return_tensors="pt"
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).to(device)
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print(f"The inputs of inference is {inputs}")
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output = model.generate(
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**inputs,
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@@ -43,10 +43,11 @@ def process_document(image):
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do_sample=False, # if it is true there will be extra text with output
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# temperature=0.1 # temp is not required
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)
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print(f"The output of inference is {output}")
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generated_ids = output[0][inputs.input_ids.shape[-1]:]
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# response = processor.decode( # past code
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# generated_ids,
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@@ -61,6 +62,7 @@ def process_document(image):
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generated_ids,
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skip_special_tokens=True
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).strip()
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# 🔥 FORCE JSON CLEANING
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start = response.find("{")
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tokenize=False, # so that this can return string output
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add_generation_prompt=True # if true it will add extra on start and end
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)
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# print(f"The text of inference is {text}")
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inputs = processor(
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text=[text],
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images=[image],
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return_tensors="pt"
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).to(device)
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# print(f"The inputs of inference is {inputs}")
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output = model.generate(
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**inputs,
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do_sample=False, # if it is true there will be extra text with output
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# temperature=0.1 # temp is not required
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)
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# print(f"The output of inference is {output}")
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generated_ids = output[0][inputs.input_ids.shape[-1]:]
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print(f"The generated_ids of inference is {generated_ids}")
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# response = processor.decode( # past code
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# generated_ids,
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generated_ids,
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skip_special_tokens=True
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).strip()
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print(f"The response of inference is {response}")
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# 🔥 FORCE JSON CLEANING
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start = response.find("{")
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