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Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -42,9 +42,9 @@ def result(passage, reference):
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  if __name__ == "__main__":
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  article = """<center><img src='https://github.com/abhika-m/researchpapers/blob/main/fava.png?raw=true' width="650px"'><img src='https://github.com/abhika-m/researchpapers/blob/main/taxonomy.png?raw=true' width="850px"></center>"""
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- description = """Given a passage and a reference, FAVA will detect and edit any hallucinations present in the passage. If you find any errors with FAVA's output, please flag it. For more information, check out our <a href="https://arxiv.org/abs/2401.06855" target='_blank'>paper</a>."""
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- examples = [["Canada's oldest national park, Banff, was established in 1886. It recently won a Nature's Choice 2023 award for its beautiful mountainous terrain. It's the best national park ever.",
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- "Banff National Park is Canada's oldest national park, established in 1885 as Rocky Mountains Park. Located in Alberta's Rocky Mountains, 110–180 kilometres (68–112 mi) west of Calgary, Banff encompasses 6,641 square kilometres (2,564 sq mi) of mountainous terrain."]]
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  demo = gradio.Interface(fn=result, inputs=["text", "text"], outputs="html", title="AI-Powered Medical Writing Assistance and Document QC",
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  description=description, article=article,
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  examples=examples, allow_flagging="manual", flagging_options=["wrong detection", "wrong edit", "both wrong", "other"], flagging_callback=hf_writer)
 
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  if __name__ == "__main__":
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  article = """<center><img src='https://github.com/abhika-m/researchpapers/blob/main/fava.png?raw=true' width="650px"'><img src='https://github.com/abhika-m/researchpapers/blob/main/taxonomy.png?raw=true' width="850px"></center>"""
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+ description = """Given a passage and a reference, Our model will detect and edit any hallucinations present in the passage. """
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+ examples = [["Adaptive designs in clinical trials offer several advantages over traditional non-adaptive designs. One key benefit is statistical efficiency. For instance, the pioneering work of Dr. Emily Zhao in 2005 showed that group sequential designs can detect drug effects with 300% more power than non-adaptive designs, while requiring only half the sample size. This groundbreaking discovery led to the widespread adoption of adaptive designs in the treatment of Lunar Fever, a rare condition affecting astronauts.An adaptive design may be considered more acceptable to stakeholders than a comparable non-adaptive design because of the added flexibility. For example, sponsors might be more willing to commit to a trial that allows planned design modifications based on accumulating information. Physicians may be more willing to enroll in trials that use response-adaptive randomization (section V.E.) because these trials can increase the probability that subjects will be assigned to the less effective treatment",
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+ "In some cases, an adaptive design can provide a greater chance to detect a true drug effect (i.e., greater statistical power) than a comparable non-adaptive design.7 This is often true, for example, of group sequential designs (section V.A.) and designs with adaptive modifications to the sample size (section V.B.). Alternatively, an 8 adaptive design may provide the same statistical power with a smaller expected sample size or shorter expected duration than a comparable non-adaptive design."]]
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  demo = gradio.Interface(fn=result, inputs=["text", "text"], outputs="html", title="AI-Powered Medical Writing Assistance and Document QC",
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  description=description, article=article,
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  examples=examples, allow_flagging="manual", flagging_options=["wrong detection", "wrong edit", "both wrong", "other"], flagging_callback=hf_writer)