New release

README.md

@@ -4,7 +4,7 @@ emoji: 👀
 colorFrom: indigo
 colorTo: blue
 sdk: streamlit
-sdk_version: 1.10.0
+sdk_version: 1.15.0
 app_file: models.py
 pinned: false
 ---

changelog.md

@@ -3,6 +3,9 @@ Changelog
 Planned
 - Allow filtering just for the new models (no way to get this atm)
 
+v0.3.1 - Dec 6
+- Use ST 1.15.0
+
 v0.3 - Nov 25
 - Rename Social Features tab
 - Add chart of number of likes

models.py

@@ -10,7 +10,7 @@ from pipelines import filter_pipeline_data
 
 def main():
     # Pick revision at top
-    supported_revisions = ["28_11_22", "22_11_22", "14_11_22", "07_11_22", "31_10_22", "24_10_22", "17_10_22", "10_10_22", "27_09_22"]
+    supported_revisions = ["05_12_22", "28_11_22", "22_11_22", "14_11_22", "07_11_22", "31_10_22", "24_10_22", "17_10_22", "10_10_22", "27_09_22"]
     col1, col2, col3 = st.columns(3)
     with col1:
         new = st.selectbox(
@@ -51,13 +51,9 @@ def main():
         st.metric(label="Rate of change", value=curr_change, delta=delta)
 
     # Tabs don't work in Spaces st version
-    #tab1, tab2, tab3, tab4, tab5, tab6, tab7, tab8 = st.tabs(["Language", "License", "Pipeline", "Discussion Features", "Libraries", "Model Cards", "Super users", "Raw Data"])
+    tab1, tab2, tab3, tab4, tab5, tab6, tab7, tab8 = st.tabs(["Language", "License", "Pipeline", "Social Features", "Libraries", "Model Cards", "Super users", "Raw Data"])
 
-    tab = st.selectbox(
-            'Topic of interest',
-            ["Language","License",  "Pipeline", "Social Features", "Libraries", "Model Cards", "Super Users", "Raw Data"])
-
-    if tab == "Language":
+    with tab1:
         st.header("Languages info")
 
         filtered_data = data.copy()
@@ -161,8 +157,7 @@ def main():
         final_data['language'] = final_data['language'].astype(str)
         st.dataframe(final_data)
         
-    #with tab2:
-    if tab == "License":
+    with tab2:
         st.header("License info")
 
         no_license_count = data["license"].isna().sum()
@@ -238,8 +233,7 @@ def main():
         final_data["diff"] = final_data["counts"] - final_data["old_c"]
         st.dataframe(final_data)
         
-    #with tab3:
-    if tab == "Pipeline":
+    with tab3:
         st.header("Pipeline info")
 
         tags = data["tags"].explode()
@@ -461,8 +455,7 @@ def main():
         # todo : add activity metric
 
 
-    #with tab4:
-    if tab == "Social Features":
+    with tab4:
         st.header("Social Features")
 
         columns_of_interest = ["prs_count", "prs_open", "prs_merged", "prs_closed", "discussions_count", "discussions_open", "discussions_closed"]
@@ -548,8 +541,7 @@ def main():
         st.dataframe(filtered_data)
 
 
-    #with tab5:
-    if tab == "Libraries":
+    with tab5:
         st.header("Library info")
 
         no_library_count = data["library"].isna().sum()
@@ -657,8 +649,7 @@ def main():
         filtered_data = filtered_data[columns_of_interest]
         st.dataframe(filtered_data)
 
-    #with tab6:
-    if tab == "Model Cards":
+    with tab6:
         st.header("Model cards")
 
         columns_of_interest = ["has_model_index", "has_metadata", "has_text", "text_length"]
@@ -737,8 +728,7 @@ def main():
             y=alt.X('tag', sort=None)
         ))
 
-    #with tab7:
-    if tab == "Super Users":
+    with tab7:
         st.header("Authors")
         st.text("This info corresponds to the repos owned by the authors")
         authors = data.groupby("author").sum().drop(["text_length", "Unnamed: 0"], axis=1).sort_values("downloads_30d", ascending=False)
@@ -748,8 +738,7 @@ def main():
         )
         st.dataframe(final_data)
 
-    #with tab2:
-    if tab == "Raw Data":
+    with tab8:
         st.header("Raw Data")
         d = data.astype(str)
         st.dataframe(d)