Refactor _clean_generated_text function to improve text processing and handling of response markers
Browse files- __pycache__/app.cpython-313.pyc +0 -0
- app.py +38 -9
__pycache__/app.cpython-313.pyc
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Binary files a/__pycache__/app.cpython-313.pyc and b/__pycache__/app.cpython-313.pyc differ
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app.py
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@@ -72,15 +72,44 @@ def generate_prompt(instruction: str, input_text: str = "") -> str:
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def _clean_generated_text(generated: str, prompt: str) -> str:
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#
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def _detect_device() -> int:
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def _clean_generated_text(generated: str, prompt: str) -> str:
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import re
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g = generated.strip()
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# If the model included a response marker, prefer the content after the last one
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resp_token = "### Response:"
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if resp_token in g:
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g = g.split(resp_token)[-1].strip()
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# Remove the original prompt (if present anywhere)
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try:
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if prompt and prompt.strip() and prompt in g:
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g = g.replace(prompt, "").strip()
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except Exception:
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pass
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# Remove common markers that may appear anywhere
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for cut in ["### Instruction:", "### Response:", "Instruction:", "Response:", "ځواب:"]:
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g = g.replace(cut, "").strip()
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# If the prompt contained an instruction section, remove that instruction text
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try:
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if "### Instruction:" in prompt:
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ins_part = prompt.split("### Instruction:", 1)[1]
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# stop at response if present
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if "### Response:" in ins_part:
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ins_text = ins_part.split("### Response:", 1)[0].strip()
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else:
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ins_text = ins_part.strip()
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if ins_text and ins_text in g:
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g = g.replace(ins_text, "").strip()
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except Exception:
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pass
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# Trim surrounding non-word characters and excessive whitespace
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g = re.sub(r"^[\W_]+|[\W_]+$", "", g).strip()
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return g
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def _detect_device() -> int:
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