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app.py

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+import streamlit as st
+import pandas as pd
+st.set_page_config(layout="wide")
+
+segment_len_limit = st.number_input("Minimum segment length (# of words)", min_value=0, max_value=10000,value=100, step = 10)
+xl1 = st.file_uploader("Choose csv file", key="xl1")
+if xl1 is not None :
+    #assert that the first few columns are the same
+    df = pd.read_csv(xl1)
+    df = df.drop(["T5 title - Candidates","T5 headline - Candidates", "BART", "BART Meeting"], axis=1)
+    st.title(df["session_title"].iloc[0])
+    with st.form("Headline Candidates"):
+        methods_score = {x:0 for x in df.columns.values if x!="text"}
+        i = 0
+        j = 0
+        for index, row in df.iterrows():
+            #if segment has fewer words than segment_len_limit, ignore it
+            if len(row["text"].split(' ')) < segment_len_limit:
+                continue
+            col1, col2= st.columns(2)
+            with col1:
+                st.write(row["text"])
+            with col2:
+                ignore_segment = st.checkbox("Ignore?", value=False, key=f"{j}_ignore")
+                if ignore_segment:
+                    mult = 0
+                else:
+                    mult = 1
+                j +=1
+                for method in row.keys():
+                    if method=="text":
+                        continue
+                    methods_score[method] += st.slider(f"{row[method]}",min_value=1,max_value=3,value=2,step=1, key=i) * mult
+                    i += 1
+
+            st.markdown("""---""")
+        submitted = st.form_submit_button("Submit")
+        if submitted:
+            st.write(methods_score)