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app.py
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[report](https://api.wandb.ai/links/dmeltzer/7an677es) for details on our training procedure.\
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\n\nThe two fine-tuned models (BART-Large and FLAN-T5-Base) are hosted on AWS using a combination of AWS Sagemaker, Lambda, and API gateway.\
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GPT-3.5 is called using the OpenAI API and the FLAN-T5-XXL model is hosted by HuggingFace and is called with their Inference API.\
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\n \n **Disclaimer**: When first running this application it may take around 30-60 seconds for the first two responses to load because of the cold start problem with AWS Lambda
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Both issues should disappear on any subsequent calls to the application and we apologize for the delay.")
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AWS_checkpoints = {}
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[report](https://api.wandb.ai/links/dmeltzer/7an677es) for details on our training procedure.\
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\n\nThe two fine-tuned models (BART-Large and FLAN-T5-Base) are hosted on AWS using a combination of AWS Sagemaker, Lambda, and API gateway.\
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GPT-3.5 is called using the OpenAI API and the FLAN-T5-XXL model is hosted by HuggingFace and is called with their Inference API.\
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\n \n **Disclaimer**: When first running this application it may take around 30-60 seconds for the first two responses to load because of the cold start problem with AWS Lambda.\
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You may recieve also an error message when calling the FLAN-T5-XXL model since the Inference API takes around 20 seconds to load the model.\
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Both issues should disappear on any subsequent calls to the application and we apologize for the delay.")
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AWS_checkpoints = {}
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