Update app.py

app.py

@@ -5,6 +5,18 @@ import openai
 
 def main():
     st.title("Scientific Question Generation")
+
+    st.write("This application is designed to generate a question given a piece of scientific text.\
+    We include the output from four different models, the (BART-Large)[https://huggingface.co/dhmeltzer/bart-large_askscience-qg] and FLAN-T5-Base models \
+    fine-tuned on the r/AskScience split of the (ELI5 dataset)[https://huggingface.co/datasets/eli5] as well as the zero-shot output \
+    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.\
+    \n \
+    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 \
+    (report)[https://api.wandb.ai/links/dmeltzer/7an677es] on our training procedure.
+    \n \
+    **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.\
+    In addition, the FLAN-T5-XXL model was recently updated on Huggingface and may give buggy outputs.\
+    ")
     
     checkpoints = ['dhmeltzer/bart-large_askscience-qg',
               'dhmeltzer/flan-t5-base_askscience-qg',