text

app/app.py

@@ -4,12 +4,10 @@ import utils as ut
 import os
 
 persist_directory = load_model.persist_directory
-st.title('myGPT')
-st.header('An GPT example brought to you by Heiko Wagner')
+st.title('myRetrievalGPT')
+st.header('An GPT Retrieval example brought to you by Heiko Wagner')
 
-st.markdown('*\"Parametrised models are simply functions that depend on inputs and trainable parameters. There is no fundamental difference between the two, except that trainable parameters are shared across training samples whereas the input varies from sample to sample.\"* [(Yann LeCun, Deep learning course)](https://atcold.github.io/pytorch-Deep-Learning/en/week02/02-1/#Parametrised-models)')
-
-st.latex(r'''h(\boldsymbol x, \boldsymbol w)= \sum_{k=1}^{K}\boldsymbol w_{k} \phi_{k}(\boldsymbol x)''')
+st.markdown('*Let $\phi$ be a word embedding mapping $W$ → $\mathbb{R}^n$ where $W$ is the word space and $\mathbb{R}^n$ is an $n$-dimensional vector space then: $\phi(king)-\phi(man)+\phi(woman)=\phi(queen)$* ')
 
 agree = st.checkbox('Load new Documents')
 if agree: