edit codes

app.py

@@ -42,28 +42,8 @@ def get_pdf_text(pdf_docs):
 #     )  # Use your specific text loader here.
 #     text_data = text_loader.load()  # Extract text using the loader.
 #     return text_data  # 추출한 텍스트를 반환합니다.
-def get_text_file(txt_filepath):
-    with open(txt_filepath, "r", encoding="utf-8") as file:
-        txt_content = file.read()  # Read the content of the TXT file
-
-    text_chunks = get_text_chunks([txt_content])  # Split the text into chunks
-    vectorstore = get_vectorstore(text_chunks)  # Create a vector store from text chunks
-
-    conversation_chain = get_conversation_chain(vectorstore)  # Create a conversation chain
-
-    # Assuming st.session_state.conversation is used to store conversation state
-    response = st.session_state.conversation({'question': txt_content})
-
-    # Assuming st.session_state.chat_history is used to store chat history
-    st.session_state.chat_history = response['chat_history']
-
-    for i, message in enumerate(st.session_state.chat_history):
-        if i % 2 == 0:
-            st.write(user_template.replace(
-                "{{MSG}}", message.content), unsafe_allow_html=True)
-        else:
-            st.write(bot_template.replace(
-                "{{MSG}}", message.content), unsafe_allow_html=True)
+def get_text_file(docs):
+    return [docs.getvalue()]
 
 def get_csv_file(docs):
     temp_dir3 = tempfile.TemporaryDirectory()