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app.py
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<div style="text-align:center">
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<p>Developed by <a href='https://www.linkedin.com/in/dekay/'>Github and Huggingface: Volkopat</a></p>
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<p>Powered by <a href='https://openai.com/'>OpenAI</a>, <a href='https://arxiv.org/'>arXiv</a> and <a href='https://github.com/hwchase17/langchain'>LangChain π¦οΈπ</a></p>
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<p>ArxivGPT is a chatbot that answers questions about research papers. It uses a pretrained GPT-
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<p>Currently, it can answer questions about the paper you just linked.</p>
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<p>It's still in development, so please report any bugs you find. </p>
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<p>It can take up to a minute to start a conversation for every new paper as this is just a demo hosted on a lightweight service.</p>
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<p>For best results, test it on better hardware. Took 20 seconds to start on M1 Chip</p>
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<p>The answers can be quite limited as there is a 4096 token limit for GPT-3.5, hence wait for GPT-4 access for better quality.</p>
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<p>If you don't get a response for GPT-4, it is likely that you don't have API access, try 3.5</p>
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<p>Possible upgrades coming up: faster parsing, status messages, other research paper hubs.</p>
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<style>
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p {
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<div style="text-align:center">
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<p>Developed by <a href='https://www.linkedin.com/in/dekay/'>Github and Huggingface: Volkopat</a></p>
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<p>Powered by <a href='https://openai.com/'>OpenAI</a>, <a href='https://arxiv.org/'>arXiv</a> and <a href='https://github.com/hwchase17/langchain'>LangChain π¦οΈπ</a></p>
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<p>ArxivGPT is a chatbot that answers questions about research papers. It uses a pretrained GPT-4 model to generate answers.</p>
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<p>If you don't get a response for GPT-4, it is likely that you don't have API access, try 3.5</p>
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</div>
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<style>
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p {
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