Updated description for nearest neigh, cosine sim and 3d graph tabs
Browse files
app.py
CHANGED
@@ -132,7 +132,11 @@ if selected == "App":
|
|
132 |
|
133 |
with st.container():
|
134 |
st.markdown("## Nearest Neighbours")
|
135 |
-
st.markdown(
|
|
|
|
|
|
|
|
|
136 |
target_word = st.multiselect("Enter a word", options=all_models_words, max_selections=1)
|
137 |
if len(target_word) > 0:
|
138 |
target_word = target_word[0]
|
@@ -199,7 +203,12 @@ if selected == "App":
|
|
199 |
eligible_models_1 = []
|
200 |
eligible_models_2 = []
|
201 |
st.markdown("## Cosine similarity")
|
202 |
-
st.markdown(
|
|
|
|
|
|
|
|
|
|
|
203 |
col1, col2 = st.columns(2)
|
204 |
col3, col4 = st.columns(2)
|
205 |
with col1:
|
@@ -235,6 +244,8 @@ if selected == "App":
|
|
235 |
st.markdown("## 3D graph")
|
236 |
st.markdown('''
|
237 |
Here you can generate a 3D representation of the semantic space surrounding a target lemma. Please choose the lemma and the time slice.\
|
|
|
|
|
238 |
|
239 |
**NB**: the 3D representations are reductions of the multi-dimensional representations created by the models. \
|
240 |
This is necessary for visualization, but while reducing the dimnesions some informations gets lost. \
|
|
|
132 |
|
133 |
with st.container():
|
134 |
st.markdown("## Nearest Neighbours")
|
135 |
+
st.markdown(
|
136 |
+
'Here you can extract the nearest neighbours to a chosen lemma. \
|
137 |
+
Please select one or more time slices and the preferred number of nearest neighbours. \
|
138 |
+
Only type in Greek, with correct spirits and accents.'
|
139 |
+
)
|
140 |
target_word = st.multiselect("Enter a word", options=all_models_words, max_selections=1)
|
141 |
if len(target_word) > 0:
|
142 |
target_word = target_word[0]
|
|
|
203 |
eligible_models_1 = []
|
204 |
eligible_models_2 = []
|
205 |
st.markdown("## Cosine similarity")
|
206 |
+
st.markdown(
|
207 |
+
'Here you can extract the cosine similarity between two lemmas. \
|
208 |
+
Please select a time slice for each lemma. \
|
209 |
+
You can also calculate the cosine similarity between two vectors of the same lemma in different time slices. \
|
210 |
+
Only type in Greek, with correct spirits and accents.'
|
211 |
+
)
|
212 |
col1, col2 = st.columns(2)
|
213 |
col3, col4 = st.columns(2)
|
214 |
with col1:
|
|
|
244 |
st.markdown("## 3D graph")
|
245 |
st.markdown('''
|
246 |
Here you can generate a 3D representation of the semantic space surrounding a target lemma. Please choose the lemma and the time slice.\
|
247 |
+
Only type in Greek, with correct spirits and accents. \
|
248 |
+
|
249 |
|
250 |
**NB**: the 3D representations are reductions of the multi-dimensional representations created by the models. \
|
251 |
This is necessary for visualization, but while reducing the dimnesions some informations gets lost. \
|