Update app.py

app.py

@@ -14,9 +14,6 @@ fake_news_pipeline = pipeline("text-classification", model="mrm8488/bert-tiny-fi
 st.set_page_config(page_title="Fake News Detector", layout="wide")
 st.title("📰 Fake News Detector")
 
-# Tabs for Input and Results
-tab1, tab2 = st.tabs(["Input", "Results"])
-
 # Function to fetch real news links from various open sources
 def fetch_real_news_links():
     return [
@@ -29,59 +26,58 @@ def fetch_real_news_links():
         "https://www.factcheck.org"
     ]
 
-with tab1:
-    st.sidebar.title("Select Input Type")
-    option = st.sidebar.radio("Choose an option", ["Text", "Image", "Video Link"])
+# Input Section
+st.sidebar.title("Select Input Type")
+option = st.sidebar.radio("Choose an option", ["Text", "Image", "Video Link"])
+
+if option == "Text":
+    news_text = st.text_area("Enter the news content to check:", height=200)
+    analyze_text = st.button("Analyze Text")
+
+elif option == "Image":
+    uploaded_file = st.file_uploader("Upload an image of a news article", type=["jpg", "png", "jpeg"])
+    analyze_image = st.button("Analyze Image")
 
-    if option == "Text":
-        news_text = st.text_area("Enter the news content to check:", height=200)
-        if st.button("Analyze News"):
-            if not news_text.strip():
-                st.warning("Please enter some text.")
-            else:
-                st.session_state["news_text"] = news_text
-                st.session_state["analyze"] = True
-                st.rerun()
+elif option == "Video Link":
+    video_url = st.text_input("Enter a video news link to check")
+    analyze_video = st.button("Analyze Video")
 
-    elif option == "Image":
-        uploaded_file = st.file_uploader("Upload an image of a news article", type=["jpg", "png", "jpeg"])
-        if uploaded_file is not None:
-            st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
-            st.info("🔍 Image analysis coming soon!")
+# Results Section
+if "analyze" not in st.session_state:
+    st.session_state["analyze"] = False
 
-    elif option == "Video Link":
-        video_url = st.text_input("Enter a video news link to check")
-        if st.button("Analyze Video"):
-            if not video_url.strip():
-                st.warning("Please enter a valid URL.")
-            else:
-                st.info("🔍 Video analysis coming soon!")
+if (option == "Text" and analyze_text and news_text.strip()) or \
+   (option == "Image" and analyze_image and uploaded_file) or \
+   (option == "Video Link" and analyze_video and video_url.strip()):
+    st.session_state["analyze"] = True
+    st.session_state["news_text"] = news_text if option == "Text" else ""
+    st.session_state["uploaded_file"] = uploaded_file if option == "Image" else None
+    st.session_state["video_url"] = video_url if option == "Video Link" else ""
+    st.rerun()
 
-with tab2:
-    if st.session_state.get("analyze", False):
+if st.session_state["analyze"]:
+    with st.spinner("Analyzing..."):
         news_text = st.session_state.get("news_text", "")
-        with st.spinner("Analyzing..."):
-            # Check using Hugging Face model
+        hf_result = "uncertain"
+        
+        if news_text:
             hf_result = fake_news_pipeline(news_text)[0]['label'].lower()
-            
-            # Display result
-            if hf_result == "fake":
-                st.error("❌ This news is likely **Fake**!", icon="⚠️")
-                st.markdown('<style>div.stAlert {background-color: #ffdddd;}</style>', unsafe_allow_html=True)
-                conclusion = "The analysis suggests that this news might be fabricated or misleading. Please verify from credible sources."
-            elif hf_result == "real":
-                st.success("✅ This news is likely **Real**!", icon="✅")
-                st.markdown('<style>div.stAlert {background-color: #ddffdd;}</style>', unsafe_allow_html=True)
-                conclusion = "The analysis indicates that this news appears to be credible and factual."
-            else:
-                st.info("🤔 The result is uncertain. Please verify from trusted sources.")
-                conclusion = "There is uncertainty in the classification. Further verification is recommended."
-            
-            # Conclusion Section
-            st.subheader("📌 Conclusion")
-            st.write(conclusion)
-            
-            # Display real news sources
-            st.subheader("🔗 Reliable News Sources")
-            for link in fetch_real_news_links():
-                st.markdown(f"[🔗 {link}]({link})")
+        
+        if hf_result == "fake":
+            st.error("❌ This news is likely **Fake**!", icon="⚠️")
+            conclusion = "The analysis suggests that this news might be fabricated or misleading. Please verify from credible sources."
+        elif hf_result == "real":
+            st.success("✅ This news is likely **Real**!", icon="✅")
+            conclusion = "The analysis indicates that this news appears to be credible and factual."
+        else:
+            st.info("🤔 The result is uncertain. Please verify from trusted sources.")
+            conclusion = "There is uncertainty in the classification. Further verification is recommended."
+        
+        # Conclusion Section
+        st.subheader("📌 Conclusion")
+        st.write(conclusion)
+        
+        # Display real news sources
+        st.subheader("🔗 Reliable News Sources")
+        for link in fetch_real_news_links():
+            st.markdown(f"[🔗 {link}]({link})")