dhmeltzer commited on
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66bbbb0
1 Parent(s): dd0f6f4

Update app.py

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  1. app.py +5 -5
app.py CHANGED
@@ -7,12 +7,12 @@ def main():
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  st.title("Scientific Question Generation")
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  st.write("This application is designed to generate a question given a piece of scientific text.\
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- We include the output from four different models, the (BART-Large)[https://huggingface.co/dhmeltzer/bart-large_askscience-qg] and FLAN-T5-Base models \
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- fine-tuned on the r/AskScience split of the (ELI5 dataset)[https://huggingface.co/datasets/eli5] as well as the zero-shot output \
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- of the (FLAN-T5-XXL)[https://huggingface.co/google/flan-t5-xxl] model and the (GPT-3.5-turbo)[https://platform.openai.com/docs/models/gpt-3-5] model.\
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  \n \
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- For a more thorough discussion of question generation see this (report)[https://wandb.ai/dmeltzer/Question_Generation/reports/Exploratory-Data-Analysis-for-r-AskScience--Vmlldzo0MjQwODg1?accessToken=fndbu2ar26mlbzqdphvb819847qqth2bxyi4hqhugbnv97607mj01qc7ed35v6w8] on EDA and this \
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- (report)[https://api.wandb.ai/links/dmeltzer/7an677es] on our training procedure.\
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  \n \
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  **Disclaimer**: You may recieve an error message when you first run the model. We are using the Huggingface API to access the BART-Large and FLAN-T5 models, and the inference API takes around 20 seconds to load the model.\
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  In addition, the FLAN-T5-XXL model was recently updated on Huggingface and may give buggy outputs.\
 
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  st.title("Scientific Question Generation")
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  st.write("This application is designed to generate a question given a piece of scientific text.\
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+ We include the output from four different models, the [BART-Large](https://huggingface.co/dhmeltzer/bart-large_askscience-qg) and [FLAN-T5-Base](https://huggingface.co/dhmeltzer/flan-t5-base_askscience-qg) models \
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+ fine-tuned on the r/AskScience split of the [ELI5 dataset](https://huggingface.co/datasets/eli5) as well as the zero-shot output \
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+ of the [FLAN-T5-XXL](https://huggingface.co/google/flan-t5-xxl) model and the [GPT-3.5-turbo](https://platform.openai.com/docs/models/gpt-3-5) model.\
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  \n \
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+ For a more thorough discussion of question generation see this [report](https://wandb.ai/dmeltzer/Question_Generation/reports/Exploratory-Data-Analysis-for-r-AskScience--Vmlldzo0MjQwODg1?accessToken=fndbu2ar26mlbzqdphvb819847qqth2bxyi4hqhugbnv97607mj01qc7ed35v6w8) on EDA and this \
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+ [report](https://api.wandb.ai/links/dmeltzer/7an677es) on our training procedure.\
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  \n \
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  **Disclaimer**: You may recieve an error message when you first run the model. We are using the Huggingface API to access the BART-Large and FLAN-T5 models, and the inference API takes around 20 seconds to load the model.\
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  In addition, the FLAN-T5-XXL model was recently updated on Huggingface and may give buggy outputs.\