Update streamlit and clean up requirements.txt, pin pandas

app.py

@@ -12,7 +12,7 @@ IMAGE_WIDTHS = 900
 PRE_TRAINED_DB = "data/pretrained.sqlite"
 
 
-@st.cache
+@st.cache_resource
 def load_eval_data():
     conn = sqlite3.connect(PRE_TRAINED_DB)
     conn.row_factory = lambda c, r: {
@@ -343,7 +343,7 @@ mT5 green and the other models black.
             "Choose right summarization model", df["name"], index=33
         )
 
-    @st.cache
+    @st.cache_resource
     def get_row(model):
         return df[df["name"] == model]
 
@@ -367,7 +367,7 @@ mT5 green and the other models black.
     with col2:
         trans_model_right = st.selectbox("Choose right model", df["name"], index=32)
 
-    @st.cache
+    @st.cache_resource
     def get_row(model):
         return df[df["name"] == model]
 

requirements.txt

@@ -1,17 +1,5 @@
-#-f https://download.pytorch.org/whl/torch_stable.html
--f https://download.pytorch.org/whl/cu116
--f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
-protobuf<3.20
-pandas
-torch
-transformers>=4.13.0
-langdetect
+pandas<2.0.0
 psutil
-jax[cuda]==0.3.16
-chex>=0.1.4
-##jaxlib==0.1.67
-flax>=0.5.3
-sentencepiece
 matplotlib
 seaborn
-streamlit==1.10.0
+streamlit