Update app.py

src/app.py

@@ -36,19 +36,6 @@ import streamlit as st
 from FineTune.model import ComputeStat
 import time
 
-st.markdown(
-    """
-    <style>
-    /* 控制 Streamlit columns 间距 */
-    div[data-testid="column"] {
-        padding-left: 3.0rem;
-        padding-right: 3.0rem;
-    }
-    </style>
-    """,
-    unsafe_allow_html=True
-)
-
 st.markdown(
     """
     <style>
@@ -112,39 +99,6 @@ st.markdown(
     unsafe_allow_html=True
 )
 
-st.markdown(
-    """
-    <style>
-    /* Significance slider – light purple (academic) */
-
-    /* Slider track (inactive) */
-    div[data-testid="stSlider"] > div > div > div > div {
-        background-color: #ebe7f2;
-    }
-
-    /* Slider active range */
-    div[data-testid="stSlider"] div[role="slider"] {
-        background-color: #bebada !important;
-        border-color: #bebada !important;
-    }
-
-    /* Slider thumb */
-    div[data-testid="stSlider"] div[role="slider"]::before {
-        background-color: #bc80bd;
-        box-shadow: 0 0 0 1px rgba(188,128,189,0.4);
-    }
-
-    /* α value text */
-    div[data-testid="stSlider"] span {
-        color: #bc80bd;
-        font-weight: 500;
-    }
-    </style>
-    """,
-    unsafe_allow_html=True
-)
-
-
 # -----------------
 # Page Configuration
 # -----------------
@@ -296,20 +250,18 @@ if not model_loaded:
 # --- Two columns: Input text & button | Result displays ---
 text_input = st.text_area(
     label="",
-    placeholder="Paste your text to be detected here",
-    help="Typically, providing text with a longer content would get a more reliable result.",
-    height=200,
+    placeholder="Paste your text to be detected here. Typically, providing text with a longer content would get a more reliable result.",
+    height=240,
 )
 
 subcol11, subcol12, subcol13 = st.columns((1, 1, 1))
 
 selected_domain = subcol11.selectbox(
-    label="⚙️ Domain",
+    label="💡 Domain that matches your text",
     options=DOMAINS,
     index=0,  # Default to General
     # label_visibility="collapsed",
     # label_visibility="hidden",
-    help="💡 **Tip:** Select the domain that best matches your text for improving detection accuracy. Default is 'General' that means consider all domains."
 )
 
 detect_clicked = subcol12.button("🔍 Detect", type="primary", use_container_width=True)
@@ -321,17 +273,16 @@ selected_level = subcol13.slider(
     value=0.05,
     step=0.005,
     # label_visibility="collapsed",
-    help="💡 **Tip:** Select the significance level for the detection test."
 )
 
-col2, col3 = st.columns((1, 1))
+col2, col3, col4 = st.columns((1, 1, 2))
 with col2:
     statistics_ph = st.empty()
     statistics_ph.text_input(
         label="Statistic",
         value="",
+        placeholder="",
         disabled=True,
-        help="Statistic will appear here after clicking the Detect button.",
     )
 
 with col3:
@@ -339,8 +290,17 @@ with col3:
     pvalue_ph.text_input(
         label="p-value",
         value="",
+        placeholder="",
+        disabled=True,
+    )
+
+with col4:
+    conclusion_ph = st.empty()
+    conclusion_ph.text_input(
+        label="Conclusion",
+        value="",
+        placeholder="",
         disabled=True,
-        help="p-value will appear here after clicking the Detect button.",
     )
 
 # -----------------
@@ -402,12 +362,18 @@ if detect_clicked:
                 help="p-value will appear here after clicking Detect.",
             )
 
+            conclusion_ph.text_input(
+                label="Conclusion",
+                value="Reject H0: Text is likely LLM-generated." if p_value < selected_level else "Fail to Reject H0: Text is likely human-written.",
+                disabled=True,
+                help="Conclusion will appear here after clicking Detect.",
+            )
+
             st.info(
                 """
                 **📊 p-value:**
                 - **Lower p-value** (closer to 0) indicates text is **more likely AI-generated**
                 - **Higher p-value** (closer to 1) indicates text is **more likely human-written**
-                - Generally, p-value < 0.05 suggests the text may be LLM-generated
                 """,
                 icon="💡"
             )
@@ -508,14 +474,14 @@ st.markdown(
         background-color: white;
         color: gray;
         text-align: center;
-        padding: 10px;
+        padding: 1px;
         border-top: 1px solid #e0e0e0;
         z-index: 999;
     }
     
     /* Add padding to main content to prevent overlap with fixed footer */
     .main .block-container {
-        padding-bottom: 60px;
+        padding-bottom: 1px;
     }
     </style>
     <div class='footer'>