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app.py

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+import streamlit as st
+import joblib
+import neattext.functions as nfx
+
+# Sayfa Ayarları / Page Settings
+st.set_page_config(page_title="Amazon Review AI", page_icon="🛒", layout="centered")
+
+# Modeli Yükle / Load the Model
+try:
+    svm_model = joblib.load("svm_amazon.pkl")
+except:
+    st.error("Model dosyası (svm_amazon.pkl) bulunamadı! / Model file not found!")
+
+# --- SOL MENÜ (SIDEBAR) ---
+with st.sidebar:
+    st.title("💡 Sample Reviews / Örnek Yorumlar")
+    st.write("Copy and paste to test: / Test etmek için kopyalayın:")
+    
+    st.subheader("✅ Positive / Pozitif")
+    st.code("This product is fantastic and totally worth the buy!")
+    st.code("Great quality, I am very satisfied with this purchase.")
+    
+    st.subheader("❌ Negative / Negatif")
+    st.code("Worst product ever. It broke in one day, total waste of money.")
+    st.code("Terrible experience. The quality is very poor and awful.")
+    
+    st.divider()
+    
+    # Teknik Not Bölümü / Technical Note Section
+    st.info("""
+    **📊 Technical Note / Teknik Not:**
+    
+    This app uses the **SVM (Support Vector Machine)** model. 
+    During the training phase, **Random Forest (84.6%)** and **SVM (92.6%)** models were compared. 
+    The SVM model, which provided the highest accuracy, was deployed.
+    
+    ---
+    
+    Bu uygulama arka planda **SVM** modelini kullanmaktadır. 
+    Eğitim aşamasında **Random Forest (%84.6)** ve **SVM (%92.6)** modelleri karşılaştırılmış, en yüksek doğruluğu veren SVM modeli yayına alınmıştır.
+    """)
+
+# --- ANA PANEL (MAIN PANEL) ---
+st.title("🛒 Amazon Review Sentiment Analysis")
+st.subheader("Sentiment Analysis Dashboard / Duygu Analizi Paneli")
+st.write("Enter a review, and AI will analyze it. / Yorumunuzu girin, yapay zeka analiz etsin.")
+
+# Kullanıcı Girişi / User Input
+user_input = st.text_area(
+    "Your Review / Yorumunuz:", 
+    height=150, 
+    placeholder="Type here or paste a sample from the left... / Buraya yazın veya soldan bir örnek seçin..."
+)
+
+# Analiz Butonu / Analysis Button
+predict_btn = st.button("🔍 Analyze Sentiment / Duyguyu Analiz Et", use_container_width=True)
+
+if predict_btn:
+    if user_input.strip() == "":
+        st.warning("Please enter a text for analysis! / Lütfen analiz için bir metin girin!")
+    else:
+        # Metni temizle / Clean the text
+        clean_text = nfx.normalize(user_input)
+
+        # Tahmin (SVM) / Prediction
+        pred = svm_model.predict([clean_text])[0]
+
+        # Sonuç Ekranı / Result Display
+        st.divider()
+        if pred == 1:
+            st.success("### ✨ RESULT: POSITIVE / SONUÇ: POZİTİF 😊")
+            st.balloons()
+        else:
+            st.error("### ⚠️ RESULT: NEGATIVE / SONUÇ: NEGATİF 😡")
+
+        # Alt Bilgi / Footer Caption
+        st.caption("Analysis performed with SVM algorithm (%92.6 Accuracy). / Analiz SVM algoritması ile %92.6 doğrulukla yapılmıştır.")

rf_amazon.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ddb0d19999e854219fcd8b06f49409aeca105ca06c0978b1d95e8fbebc9b1a00
+size 15324727

svm_amazon.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8924bdb0b700f29b4945532cba6d5443f97dadf4f6e4f6fc09c1d343404bc83a
+size 381741