deneme

app.py

@@ -21,18 +21,13 @@ st.header("File Upload")
 files = st.file_uploader("Upload your files", accept_multiple_files=True, type="pdf")
     
 if files:
-    st.header("Start Conversion")
-    if st.button("Ready!"):
-       with st.spinner("Creating chain..."):
+    question = st.text_input("Ask a question")
+    if st.button("Search"):
+       with st.spinner("Fetching 3 most similar matches..."):
         full_text = get_pdf_text(files)
         text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=150)
         chunks = text_splitter.split_text(full_text)
         embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
         db = FAISS.from_texts(chunks, embeddings)
-        memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True,)
-        st.header("Chatbot")
-        st.subheader("Ask a question")
-        question = st.text_input("Question")
-        if question:
-            similar_response = db.similarity_search(query=question, k=3)
-            st.write(similar_response)
+        similar_response = db.similarity_search_with_relevance_scores(query=question, k=3)
+        st.write(similar_response)