Update app.py

app.py

@@ -1,13 +1,23 @@
 import streamlit as st
 import os
+import cv2
+import torch
+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"))
+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("📰 Fake News Detector")
+st.title("\U0001F4F0 Fake News Detector")
 
 # User input
 news_text = st.text_area("Enter the news content to check:", height=200)
@@ -17,21 +27,23 @@ if st.button("Analyze News"):
         st.warning("Please enter some text.")
     else:
         with st.spinner("Analyzing..."):
-            # Send request to Groq API
+            # 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,
             )
-            result = chat_completion.choices[0].message.content.strip().lower()
-
-            # Display results with color contrast
-            if "fake" in result:
-                st.error("❌ This news is likely **Fake**!", icon="⚠️")
+            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 result:
+            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.")
-