add sidebar

app.py

@@ -9,52 +9,49 @@ from datetime import datetime
 from uuid import uuid4
 
 # -----------------------------
-# Page Config & Consent
+# Page Config
 # -----------------------------
 st.set_page_config(page_title="ChatGPT Log Analyzer", page_icon="🤖")
 
+# -----------------------------
+# Sidebar: App Navigation & File Upload
+# -----------------------------
+st.sidebar.title("⚙️ Settings")
+
 # Consent
 if "consent" not in st.session_state:
     st.session_state.consent = ""
 
-placeholder = st.empty()
-with placeholder.container():
-    with st.expander("Consent", expanded=True):
-        st.markdown("##### Take Part in Our Study")
-        st.markdown("""
-        Please consider participating in our research study on ChatGPT interactions.  
-        In this study, you will be asked to upload ChatGPT logs. These will be analyzed for sentiment, redacted to remove personal information, and stored in a research database.  
-
-        **You must be 18 years or older to participate.**  
-        You can still use the app without sharing your data by clicking **'No, I do not consent'**.
-        """)
-
-        st.radio(
-            "**Do you consent to participating in this study and sharing anonymized information?**", 
-            ["", "Yes, I consent", "No, I do not consent"], 
-            key="consent", horizontal=True
-        )
+with st.sidebar.expander("Consent Form", expanded=True):
+    st.radio(
+        "**Do you consent to participating in this study?**", 
+        ["", "Yes, I consent", "No, I do not consent"], 
+        key="consent"
+    )
+
+# File Upload
+uploaded_file = st.sidebar.file_uploader("📂 Upload ChatGPT export (.json)", type=["json"])
 
+# Privacy Policy in Sidebar
+with st.sidebar.expander("Privacy Policy", expanded=False):
+    try:
+        with open("PrivacyPolicy.md", "r") as f:
+            st.markdown(f.read())
+    except FileNotFoundError:
+        st.error("Privacy policy file not found. Please add `privacy_policy.md`.")
+
+# -----------------------------
+# Consent Messages in Main Page
+# -----------------------------
 if st.session_state.consent == "Yes, I consent":
-    placeholder.empty()
     if "id" not in st.session_state:
         st.session_state.id = datetime.now().strftime('%Y%m-%d%H-%M-') + str(uuid4())
     st.success("✅ You consented to participate.")
     st.info(f"Your anonymized ID is: **{st.session_state.id}**. Keep this if you want your data deleted later.")
+
 elif st.session_state.consent == "No, I do not consent":
-    placeholder.empty()
     st.warning("⚠️ You did not consent. You can still use the app, but your logs will not be stored.")
 
-# -----------------------------
-# Privacy Policy Dropdown
-# -----------------------------
-with st.expander("Privacy Policy", expanded=False):
-    try:
-        with open("PrivacyPolicy.md", "r") as f:
-            st.markdown(f.read())
-    except FileNotFoundError:
-        st.error("Privacy policy file not found. Please add `privacy_policy.md` to the project.")
-
 # -----------------------------
 # Parser Function
 # -----------------------------
@@ -84,10 +81,8 @@ def parse_chatgpt_export(data):
     return pd.DataFrame(rows)
 
 # -----------------------------
-# File Upload
+# Main Content (only if file uploaded)
 # -----------------------------
-uploaded_file = st.file_uploader("Upload ChatGPT export (.json)", type=["json"])
-
 if uploaded_file:
     data = json.load(uploaded_file)
     if isinstance(data, dict) and "conversations" in data:
@@ -96,18 +91,14 @@ if uploaded_file:
         st.error("Unsupported JSON structure")
         st.stop()
 
-    # -----------------------------
     # Conversation Selector
-    # -----------------------------
     st.subheader("🗂 Select a Conversation")
     convo_titles = df["title"].unique()
     selected_title = st.selectbox("Choose conversation", convo_titles)
 
     convo_df = df[df["title"] == selected_title].copy()
 
-    # -----------------------------
     # Scrub + Sentiment
-    # -----------------------------
     cleaner = scrubadub.Scrubber()
     analyzer = SentimentIntensityAnalyzer()
 
@@ -124,9 +115,7 @@ if uploaded_file:
 
     convo_df = pd.DataFrame(redacted_rows)
 
-    # -----------------------------
     # Inline PII Editing
-    # -----------------------------
     st.subheader(f"💬 Conversation: {selected_title}")
     edited_rows = []
     for i, row in convo_df.iterrows():
@@ -144,9 +133,7 @@ if uploaded_file:
     convo_df = pd.DataFrame(edited_rows)
     st.dataframe(convo_df[["role", "redacted", "sentiment", "create_time"]])
 
-    # -----------------------------
-    # Optional: Save to MongoDB
-    # -----------------------------
+    # Save to MongoDB
     if st.button("📥 Save Conversation to Database"):
         with MongoClient(st.secrets["mongo"], server_api=ServerApi('1')) as client:
             db = client.bridge