Update src/streamlit_app.py

src/streamlit_app.py

@@ -63,32 +63,24 @@ st.markdown("This app detects the percentage of **AI-generated content** using s
 # 📋 Text input
 user_input = st.text_area("📋 Paste your text below to check for AI-generated sentences:", height=300)
 
+# 📤 Output placeholder (to clear previous results)
+output_container = st.empty()
+
 # 🔍 Analyze button logic
 if st.button("🔍 Analyze"):
-    # Clear previous session results
-    st.session_state.analysis_done = False
-    st.session_state.analysis_results = None
-    st.session_state.ai_percentage = None
-
     if not user_input.strip():
         st.warning("⚠️ Please enter some text.")
     else:
-        # Perform analysis
         ai_percentage, analysis_results = predict_ai_generated_percentage(user_input)
 
         if len(analysis_results) == 0:
             st.warning("⚠️ Not enough valid sentences to analyze.")
         else:
-            st.session_state.analysis_done = True
-            st.session_state.analysis_results = analysis_results
-            st.session_state.ai_percentage = ai_percentage
-
-# 📤 Show results
-if st.session_state.get("analysis_done", False):
-    st.subheader("🔍 Sentence-level Analysis")
-    for i, (sentence, prob, is_ai) in enumerate(st.session_state.analysis_results, start=1):
-        label = "🟢 Human" if not is_ai else "🔴 AI"
-        st.markdown(f"**{i}.** _{sentence}_\n\n → {label}")
-
-    st.subheader("📊 Final Result")
-    st.success(f"Estimated **AI-generated content**: **{st.session_state.ai_percentage:.2f}%**")
+            with output_container.container():
+                st.subheader("🔍 Sentence-level Analysis")
+                for i, (sentence, prob, is_ai) in enumerate(analysis_results, start=1):
+                    label = "🟢 Human" if not is_ai else "🔴 AI"
+                    st.markdown(f"**{i}.** _{sentence}_\n\n → {label}")
+
+                st.subheader("📊 Final Result")
+                st.success(f"Estimated **AI-generated content**: **{ai_percentage:.2f}%**")