added streamlit v1

viz/prototype_streamlit.py

@@ -0,0 +1,28 @@
+# streamlit run analysis/viz/prototype_streamlit.py
+from datetime import datetime
+import pandas as pd
+import plotly.graph_objects as go
+import plotly.express as px
+import streamlit as st
+
+df = pd.read_csv(r"analysis/jobs/f452-1/review.csv")
+st.set_page_config(layout="wide")
+
+stance = st.multiselect("Filter stance", sorted(df["stance"].dropna().unique()), default=sorted(df["stance"].dropna().unique()))
+q = st.text_input("Search comment text")
+dff = df[df["stance"].isin(stance)]
+if q:
+    dff = dff[dff["text"].fillna("").str.contains(q, case=False, regex=False)]
+
+st.dataframe(dff[["comment_id", "title", "stance", "stance_confidence", "tone"]], width="stretch")
+st.write("Showing " + str(len(dff))+ " comments")
+
+cid = st.selectbox("comment", dff["comment_id"].astype(str))
+row = dff[dff["comment_id"].astype(str) == cid].iloc[0]
+
+st.subheader(row["title"])
+st.write(row["text"])
+st.write(row["author"] + ", " + row["date"][:10])
+st.write("**model:** " + str(row["model"]))
+st.markdown("**stance:** " + str(row["stance"]) + "  \n**confidence:** " + str(row["stance_confidence"]) + "  \n**tone:** " + str(row["tone"]))
+st.write("**analysis:** "+ row["stance_rationale"])