Update app.py

app.py

@@ -6,11 +6,6 @@ import torchaudio
 import torchvision
 import tensorflow as tf
 from transformers import pipeline
-from groq import Groq
-from openai import OpenAI
-
-# Set up the Groq client
-client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
 
 # Load a fake news detection model from Hugging Face
 fake_news_pipeline = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")
@@ -46,7 +41,7 @@ with tab1:
             else:
                 st.session_state["news_text"] = news_text
                 st.session_state["analyze"] = True
-                st.experimental_rerun()
+                st.rerun()
 
     elif option == "Image":
         uploaded_file = st.file_uploader("Upload an image of a news article", type=["jpg", "png", "jpeg"])
@@ -66,23 +61,15 @@ 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":
+            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 "real" in groq_result or hf_result == "real":
+            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."
@@ -97,4 +84,4 @@ with tab2:
             # Display real news sources
             st.subheader("🔗 Reliable News Sources")
             for link in fetch_real_news_links():
-                st.markdown(f"[🔗 {link}]({link})")
+                st.markdown(f"[🔗 {link}]({link})")