Update app.py

app.py

@@ -19,57 +19,74 @@ 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")
 
-# Sidebar for navigation
-st.sidebar.title("Navigation")
-option = st.sidebar.radio("Select Input Type", ["Text", "Image", "Video Link"])
+# Tabs for Input and Results
+tab1, tab2 = st.tabs(["Input", "Results"])
 
 # Function to fetch real news links (mocked for now)
 def fetch_real_news_links():
     return ["https://www.bbc.com/news", "https://www.cnn.com", "https://www.reuters.com"]
 
-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:
-            with st.spinner("Analyzing..."):
-                # Check using Groq API
-                chat_completion = client.chat.completions.create(
-                    messages=[{"role": "user", "content": f"Classify this news as Real or Fake: {news_text}"}],
-                    model="llama-3.3-70b-versatile",
-                    stream=False,
-                )
-                groq_result = chat_completion.choices[0].message.content.strip().lower()
-                
-                # Check using Hugging Face model
-                hf_result = fake_news_pipeline(news_text)[0]['label'].lower()
-                
-                # Display result
-                if "fake" in groq_result or hf_result == "fake":
-                    st.error("❌ This news is likely **Fake**!", icon="⚠️")
-                    st.markdown('<style>div.stAlert {background-color: #ffdddd;}</style>', unsafe_allow_html=True)
-                elif "real" in groq_result or hf_result == "real":
-                    st.success("✅ This news is likely **Real**!", icon="✅")
-                    st.markdown('<style>div.stAlert {background-color: #ddffdd;}</style>', unsafe_allow_html=True)
-                else:
-                    st.info("🤔 The result is uncertain. Please verify from trusted sources.")
-                
-                # Display real news sources
-                st.subheader("🔗 Reliable News Sources")
-                for link in fetch_real_news_links():
-                    st.markdown(f"[🔗 {link}]({link})")
+with tab1:
+    st.sidebar.title("Select Input Type")
+    option = st.sidebar.radio("Choose an option", ["Text", "Image", "Video Link"])
 
-elif option == "Image":
-    uploaded_file = st.file_uploader("Upload an image of 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!")
+    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.experimental_rerun()
 
-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!")
+    elif option == "Image":
+        uploaded_file = st.file_uploader("Upload an image of 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!")
+
+    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!")
+
+with tab2:
+    if st.session_state.get("analyze", False):
+        news_text = st.session_state.get("news_text", "")
+        with st.spinner("Analyzing..."):
+            # Check using Groq API
+            chat_completion = client.chat.completions.create(
+                messages=[{"role": "user", "content": f"Classify this news as Real or Fake: {news_text}"}],
+                model="llama-3.3-70b-versatile",
+                stream=False,
+            )
+            groq_result = chat_completion.choices[0].message.content.strip().lower()
+            
+            # Check using Hugging Face model
+            hf_result = fake_news_pipeline(news_text)[0]['label'].lower()
+            
+            # Display result
+            if "fake" in groq_result or 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 "real" in groq_result or 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})")