first commit

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+*.DS_Store

app.py

@@ -0,0 +1,76 @@
+import streamlit as st
+
+
+PATH_PLOTS = "./plots"
+
+LANGUAGES = {
+    "Arabic": "ar",
+    "Basque": "eu",
+    "Bengali": "bn",
+    "Catalan": "ca",
+    "Chinese": "zh",
+    "English": "en",
+    "French": "fr",
+    "Hindi": "hi",
+    "Indonesian": "id",
+    "Portuguese": "pt",
+    "Spanish": "es",
+    "Urdu": "ur",
+    "Vietnamese": "vi",
+}
+
+FILTERS = [
+    "number of words",
+    "character repetition ratio",
+    "word repetition ratio",
+    "special character ratio",
+    "closed class word ratio",
+    "flagged word ratio",
+    "perplexity score",
+]
+
+
+class Visualization:
+    def __init__(self):
+        pass
+
+    def set_title(self):
+        st.title("Visualization of the distributions of the filter values for the BigScience Corpus")
+    
+    def choose_language(self):
+        chosen_language = st.sidebar.selectbox(
+            "Language",
+            options=list(LANGUAGES.keys()),
+            index=0
+        )
+        self.chosen_language = LANGUAGES[chosen_language]
+
+    def choose_filter(self):
+        chosen_filter = st.sidebar.selectbox(
+            "Filter on the",
+            options=FILTERS,
+            index=0
+        )
+        self.chosen_filter = chosen_filter.replace(" ", "_")
+
+    def display_plot(self):
+        path_image = f"{PATH_PLOTS}/{self.chosen_language}_{self.chosen_filter}.png"
+
+        col1, col2, col3 = st.columns([1,6,1])
+        with col1:
+            st.write("")
+        with col2:
+            st.image(path_image)
+        with col3:
+            st.write("")
+
+    def visualization(self):
+        self.set_title()
+        self.choose_language()
+        self.choose_filter()
+        self.display_plot()
+
+
+if __name__ == "__main__":
+    visualization = Visualization()
+    visualization.visualization()