Update app.py

app.py

@@ -1,6 +1,7 @@
 # ================================
 # 🪞 MoodMirror+ — Text Emotion • Advice-only + brief intros & reasons
 # - Tabs: Advice • Emergency numbers • Breathing • Journal (with export & delete)
+# - Gradio + sklearn compatibility fixes (no Dataframe height/wrap, Chatbot type, LR hyperparams)
 # ================================
 import os
 import re
@@ -204,7 +205,6 @@ def journal_export_txt(entry_id: int):
         return None, "Entry not found."
     fname = f"journal_{entry_id}_{data['ts'].replace(':','-')}.txt"
     fpath = os.path.join(DATA_DIR, fname)
-    # Build plain text
     lines = []
     title = data["title"] or "(Untitled)"
     lines.append(f"Title: {title}")
@@ -232,7 +232,17 @@ def train_or_load_model():
     Y_train = mlb.fit_transform(y_train)
     clf = Pipeline([
         ("tfidf", TfidfVectorizer(lowercase=True, ngram_range=(1,2), min_df=2, max_df=0.9, strip_accents="unicode")),
-        ("ovr", OneVsRestClassifier(LogisticRegression(solver="saga", max_iter=1000, class_weight="balanced"), n_jobs=-1))
+        ("ovr", OneVsRestClassifier(
+            LogisticRegression(
+                solver="saga",
+                penalty="l2",
+                C=0.5,         # stronger regularization to help convergence
+                tol=1e-3,      # slightly looser tolerance
+                max_iter=5000, # more iterations
+                class_weight="balanced"
+            ),
+            n_jobs=-1
+        ))
     ])
     clf.fit(X_train, Y_train)
     joblib.dump({"version": MODEL_VERSION, "pipeline": clf, "mlb": mlb, "label_names": names}, MODEL_PATH)
@@ -313,7 +323,7 @@ with gr.Blocks(title="🪞 MoodMirror+ — Text Emotion • Advice-only") as dem
             with gr.Row():
                 country = gr.Dropdown(list(CRISIS_NUMBERS_EN.keys()), value="United States", label="Country")
                 save_ok = gr.Checkbox(False, label="Save anonymized session")
-            chat = gr.Chatbot(height=380)
+            chat = gr.Chatbot(type="tuples", height=380)
             msg = gr.Textbox(label="Your message", placeholder="Share how you feel...")
             with gr.Row():
                 send = gr.Button("Send", variant="primary")
@@ -401,7 +411,7 @@ with gr.Blocks(title="🪞 MoodMirror+ — Text Emotion • Advice-only") as dem
                 j_search = gr.Textbox(label="Search (title, text or emotion)", placeholder="e.g., anxiety, work, joy")
                 j_refresh = gr.Button("Refresh list")
             j_entries = gr.Dropdown(label="Entries (newest first)", choices=[], value=None, interactive=True)
-            j_table = gr.Dataframe(headers=["UTC time","Emotion","Title","Preview"], value=[], interactive=False, wrap=True, height=200)
+            j_table = gr.Dataframe(headers=["UTC time","Emotion","Title","Preview"], value=[], interactive=False)
             j_view = gr.Markdown()
 
             # Export + Delete UI
@@ -458,6 +468,5 @@ with gr.Blocks(title="🪞 MoodMirror+ — Text Emotion • Advice-only") as dem
                                outputs=[j_status, j_entries, j_table, j_view])
 
 if __name__ == "__main__":
-    gr.set_theme("default")
     demo.queue()
     demo.launch()