Update app.py

app.py

@@ -257,17 +257,17 @@ def main():
     )
     
     # Language detection settings
-    st.sidebar.markdown("---")
-    st.sidebar.subheader("🔍 Language Detection")
-    auto_detect = st.sidebar.checkbox("Auto-detect input language", value=True)
-    
-    if not auto_detect:
-        manual_language = st.sidebar.selectbox(
-            "Select input language manually:",
-            list(SUPPORTED_LANGUAGES.keys()),
-            format_func=lambda x: SUPPORTED_LANGUAGES[x],
-            index=0
-        )
+    #st.sidebar.markdown("---")
+    #st.sidebar.subheader("🔍 Language Detection")
+    #auto_detect = st.sidebar.checkbox("Auto-detect input language", value=True)
+    auto_detect=True
+    #if not auto_detect:
+    #    manual_language = st.sidebar.selectbox(
+    #        "Select input language manually:",
+    #        list(SUPPORTED_LANGUAGES.keys()),
+    #        format_func=lambda x: SUPPORTED_LANGUAGES[x],
+    #        index=0
+    #    )
     
     # Load the selected emotion classifier
     emotion_classifier = load_emotion_classifier(selected_model_key)
@@ -303,8 +303,8 @@ def main():
         # Language Detection
         if auto_detect:
             detected_language = detect_language(user_input)
-        else:
-            detected_language = manual_language
+        #else:
+        #    detected_language = manual_language
         
         # Display language detection results
         display_language_info(detected_language)
@@ -358,8 +358,8 @@ def main():
         dominant_emotion = max(emotion_predictions, key=lambda x: x['score'])
         language_name = get_language_name(detected_language)
         
-        st.markdown(f"**Responding with:** {dominant_emotion['label'].title()} emotion in {language_name}")
-        st.markdown("---")
+        #st.markdown(f"**Responding with:** {dominant_emotion['label'].title()} emotion in {language_name}")
+        #st.markdown("---")
         
         # Display the response in a nice container
         with st.container():