Upload 3 files

app.py

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+import streamlit as st
+from tensorflow.keras.models import load_model
+import numpy as np
+import pickle
+import joblib
+
+# Modeli yükleme
+with open('fake_news_model.pkl', 'rb') as file:
+    pipeline = pickle.load(file)
+
+
+st.title("Sahte Haber Tespit Modeli")
+user_input = st.text_area("Haber metnini giriniz:")
+
+
+if st.button("Tahmin Et"):
+    if user_input:
+        # Modeli yükleme
+        pipeline = joblib.load('fake_news_model.pkl')  # ya da pickle ile yükleyebilirsiniz
+        
+        prediction = pipeline.predict([user_input])[0]
+        #label = "Sahte" if prediction == 0 else "Gerçek"
+        #st.write(f"Tahmin: {label}")
+        st.write(prediction)
+    else:
+        st.write("Lütfen bir metin girin.")

fake_news_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e1c8e2b145d256670fee8395afc4b1ad7dd3b2a0c983dcc473540a95327fc2d0
+size 13479533

requirements.txt

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+streamlit
+joblib
+pickle