Update app.py

app.py

@@ -10,40 +10,66 @@ from groq import Groq
 from openai import OpenAI
 
 # Set up the Groq client
-client = Groq(api_key=os.environ.get("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"))
+client = Groq(api_key=os.environ.get("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"))
 
 # Load a fake news detection model from Hugging Face
 fake_news_pipeline = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")
 
 # Streamlit UI
-st.set_page_config(page_title="Fake News Detector", layout="centered")
-st.title("\U0001F4F0 Fake News Detector")
-
-# User input
-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()
-            
-            # Determine the final result
-            if "fake" in groq_result or hf_result == "fake":
-                st.error("\u274C 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.")
+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"])
+
+# 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})")
+
+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!")