Upload 3 files

app.py

@@ -0,0 +1,52 @@
+import streamlit as st
+import pickle
+
+st.title("Contact List Analysis")
+
+with open('emotions_report.pkl', 'rb') as file:
+    emotions_report = pickle.load(file)
+
+with open('goals_report.pkl', 'rb') as file:
+    goals_report = pickle.load(file)
+
+emotions_tab, goals_tab = st.tabs(["Emotions", "Goals"])
+
+with emotions_tab:
+    for name in emotions_report.keys():
+        container = st.container(border=True)
+
+        with container:
+            st.header(name)
+
+            for emotion in emotions_report[name].keys():
+                score = len(emotions_report[name][emotion])
+                expander = st.expander(f"Emotion: {emotion} - {score}")
+                
+                with expander:
+                    for r in emotions_report[name][emotion]:
+                        st.write(r["explanation"])
+    
+                        for ref in r["reference"]:
+                            st.markdown(f"> {ref}")
+
+                        st.write("\n")
+
+with goals_tab:
+    for name in goals_report.keys():
+        container = st.container(border=True)
+
+        with container:
+            st.header(name)
+
+            for goal in goals_report[name].keys():
+                score = len(goals_report[name][goal])
+                expander = st.expander(f"Goal: {goal} - {score}")
+                
+                with expander:
+                    for r in goals_report[name][goal]:
+                        st.write(r["explanation"])
+    
+                        for ref in r["reference"]:
+                            st.markdown(f"> {ref}")
+
+                        st.write("\n")

emotions_report.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef507591c9aa1537580f1a6c43737908015545bdc89cbbb0b257a54013ae7b65
+size 31238

goals_report.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b398b4eb2cf2ce075cec6e052cff27741a7a75782d309c20705f70f9adb1cb8
+size 30752