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                "content": "\n-----------------------------------------------------------------------------\n#instructions#\n\nyour response is expected to be in JSON format, while any boool responses are to be lowercase with no quotations surrounding their values, with the keys as follows:\n\n0) api_response - '''Place response to prompt here.'''\n1) generate_title - '''Generate a short and concise title for this query, using underscores instead of spaces and avoiding special characters. The title should not exceed 200 characters to ensure compatibility with file systems.'''\n\nbelow is an example of the expected json dictionary response format, with the default inputs:\n{'api_response': 'This is the reply to your request.', 'generate_title': 'Short_Title_for_Query'}\n-----------------------------------------------------------------------------\n#prompt#\n\nthe following image is for a website, i am seeking ideal SEO standards foir maximum searchability and the site is mainly for data and refference material\n        \n    BASE_URL:\n    www.thedailydialectics.com\n    \n    url:\n    https://www.biorxiv.org/content/10.1101/2020.01.30.927871v1.full.pdf\n    \n    title:\n    None\n    \n    description:\n    None\n    with this format of output:\n    ### Image Name:\n`image.jpg`\n\n### Alt Text:\n`text`\n\n### Title Tag:\n`title`\n\n### Description:\n`description`\n\n### Additional Metadata:\n- **Caption:** \"caption\"\n- **Keywords:** Keywords,Keywords,Keywords,Keywords,...\n\n### URL:\n`URL`\n\n        \n        content:\n        bioRxiv preprint doi: https://doi.org/10.1101/2020.01.30.927871; this version posted January 31, 2020. The copyright holder for this preprint\n(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made\navailable under aCC-BY-NC-ND 4.0 International license.\n\nsequence alignment of the spike glycoprotein amino acid sequences of all available\ncoronaviruses (n=55) [refer Table S.File1] in NCBI refseq (ncbi.nlm.nih.gov) this includes one\n\nsequence of 2019-nCoV[Fig.S1]. We found that these 4 insertions [inserts 1, 2, 3 and 4] are\nunique to 2019-nCoV and are not present in other coronaviruses analyzed. Another group from\n\nChina had documented three insertions comparing fewer spike glycoprotein sequences of\ncoronaviruses . Another group from China had documented three insertions comparing fewer\n\nspike glycoprotein sequences of coronaviruses (Zhou et al., 2020).\n\ni\n2\ni\n3\n4\nH\ni\n3\n\n19\nnight-heron corenaviTs KU\n\nsna\n snmoyped Smonoozur omyay\n\nFigure 1: Maximum likelihood genealogy show the evolution of 2019- nCoV: The evolutionary history\nwas inferred by using the Maximum Likelihood method and JTT matrix-based model. The tree\nwith the highest log likelihood (12458.88) is shown. Initial tree(s) for the heuristic search were\nobtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise\ndistances estimated using a JTT model, and then selecting the topology with superior log likelihood\n\n        "
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