Update pdf-rag-bot/app.py

pdf-rag-bot/app.py

@@ -11,57 +11,91 @@ from langchain_community.embeddings import OpenAIEmbeddings
 from langchain.chains import ConversationalRetrievalChain
 from langchain.memory import ConversationBufferMemory
 
+# Ortam değişkenlerini yükle
 load_dotenv()
 os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
 
-st.set_page_config(page_title="PDF Destek Botu", page_icon="📄")
-st.title("📄 PDF Destek Botu (RAG + Memory)")
-st.write("Bir PDF yükleyin, içeriğine dair sorular sorun. Türkçe desteklidir.")
+st.set_page_config(page_title="ChatGPT PDF Botu", page_icon="💬", layout="wide")
+st.markdown(
+    """
+    <h2 style='text-align: center;'>📄 Customer Service Bot</h2>
+    <p style='text-align: center; color: #888;'>PDF içeriğinden ChatGPT tarzı sohbet ile bilgi alın.</p>
+    """,
+    unsafe_allow_html=True
+)
 
-uploaded_file = st.file_uploader("📎 PDF Dosyanızı yükleyin", type="pdf", key="pdf_uploader")
+# Sayfa ikiye böl: Solda PDF yükleme, sağda sohbet
+col1, col2 = st.columns([1, 2])
 
-if uploaded_file is not None:
-    if "last_uploaded_name" not in st.session_state or uploaded_file.name != st.session_state.last_uploaded_name:
-        with st.spinner("📚 PDF işleniyor..."):
-            with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
-                tmp.write(uploaded_file.read())
-                tmp_path = tmp.name
+with col1:
+    st.subheader("📄 PDF Yükle")
+    uploaded_file = st.file_uploader("PDF dosyanızı yükleyin", type="pdf", key="pdf_uploader")
 
-            loader = PyPDFLoader(tmp_path)
-            documents = loader.load()
+    if uploaded_file is not None:
+        if "last_uploaded_name" not in st.session_state or uploaded_file.name != st.session_state.last_uploaded_name:
+            with st.spinner("PDF işleniyor..."):
+                with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
+                    tmp.write(uploaded_file.read())
+                    tmp_path = tmp.name
 
-            splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=50)
-            docs = splitter.split_documents(documents)
+                loader = PyPDFLoader(tmp_path)
+                documents = loader.load()
 
-            embedding = OpenAIEmbeddings(model="text-embedding-3-large")
-            vectordb = FAISS.from_documents(docs, embedding)
+                splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=50)
+                docs = splitter.split_documents(documents)
 
-            memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
-            llm = ChatOpenAI(model_name="gpt-4", temperature=0)
+                embedding = OpenAIEmbeddings(model="text-embedding-3-large")
+                vectordb = FAISS.from_documents(docs, embedding)
 
-            qa_chain = ConversationalRetrievalChain.from_llm(
-                llm=llm,
-                retriever=vectordb.as_retriever(search_kwargs={"k": 3}),
-                memory=memory
-            )
+                memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
+                llm = ChatOpenAI(model_name="gpt-4", temperature=0)
 
-            st.session_state.qa_chain = qa_chain
-            st.session_state.chat_history = []
-            st.session_state.last_uploaded_name = uploaded_file.name
+                qa_chain = ConversationalRetrievalChain.from_llm(
+                    llm=llm,
+                    retriever=vectordb.as_retriever(search_kwargs={"k": 3}),
+                    memory=memory
+                )
+
+                st.session_state.qa_chain = qa_chain
+                st.session_state.chat_history = []
+                st.session_state.last_uploaded_name = uploaded_file.name
 
             st.success("✅ PDF başarıyla işlendi!")
 
-if "qa_chain" in st.session_state:
-    user_input = st.text_input("🧠 Sorunuzu yazın:")
+with col2:
+    st.subheader("💬 Sohbet Alanı")
+
+    if "qa_chain" not in st.session_state:
+        st.info("Lütfen sol taraftan bir PDF yükleyin.")
+    else:
+        if "chat_history" not in st.session_state:
+            st.session_state.chat_history = []
+
+        # Sohbeti chat balonları olarak göster
+        chat_placeholder = st.container()
+        with chat_placeholder:
+            for sender, message in st.session_state.chat_history:
+                align = "flex-end" if sender == "🧑‍💼 Siz" else "flex-start"
+                color = "#DCF8C6" if sender == "🧑‍💼 Siz" else "#F1F0F0"
+                st.markdown(
+                    f"""
+                    <div style='display: flex; justify-content: {align};'>
+                        <div style='background: {color}; border-radius: 12px; padding: 8px 14px; margin: 6px 0; max-width: 70%;'>
+                            <b>{sender}:</b> {message}
+                        </div>
+                    </div>
+                    """,
+                    unsafe_allow_html=True
+                )
 
-    if user_input:
-        with st.spinner("✍️ Yan��t hazırlanıyor..."):
-            response = st.session_state.qa_chain.run(user_input)
-            st.session_state.chat_history.append(("🧑‍💼 Siz", user_input))
-            st.session_state.chat_history.append(("🤖 Bot", response))
+        # Sohbet giriş kutusu aşağıda sabit
+        with st.form(key="user_input_form", clear_on_submit=True):
+            user_input = st.text_input("Soru sorun veya yazışmaya devam edin...", key="input_field")
+            submit = st.form_submit_button("Gönder")
 
-    if st.session_state.chat_history:
-        st.markdown("---")
-        st.subheader("💬 Sohbet Geçmişi")
-        for sender, message in st.session_state.chat_history:
-            st.markdown(f"**{sender}:** {message}")
+        if submit and user_input:
+            with st.spinner("Yanıtlanıyor..."):
+                response = st.session_state.qa_chain.run(user_input)
+                st.session_state.chat_history.append(("🧑‍💼 Siz", user_input))
+                st.session_state.chat_history.append(("🤖 Bot", response))
+            st.rerun()