Create app.py

app.py

@@ -0,0 +1,44 @@
+from dotenv import load_dotenv
+load_dotenv()
+import streamlit as st
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores import FAISS
+from langchain.chains.question_answering import load_qa_chain
+from langchain.llms import OpenAI
+import os
+
+
+
+def main():
+    load_dotenv()
+    st.set_page_config(page_title="Chat Text")
+    st.header("Chat Text 💬")
+    
+    # Dosyayı oku
+    file_path = 'shipping.txt'
+    with open(file_path, 'r', encoding='utf-8') as file:
+        text = file.read()
+        
+    # Metni parçalara ayır
+    char_text_splitter = CharacterTextSplitter(separator="\n", chunk_size=1000,
+                                               chunk_overlap=200, length_function=len)
+    text_chunks = char_text_splitter.split_text(text)
+    
+    embeddings = OpenAIEmbeddings(
+        openai_api_key=os.getenv('OPENAI_API_KEY')
+    )
+    docsearch = FAISS.from_texts(text_chunks, embeddings) 
+    llm = OpenAI() 
+    chain = load_qa_chain(llm, chain_type="stuff")
+    
+    # Kullanıcıdan soru al
+    query = st.text_input("Type your question:")
+    if query:
+        docs = docsearch.similarity_search(query)
+        response = chain.run(input_documents=docs, question=query)
+           
+        st.write(response)
+
+if __name__ == '__main__':
+    main()