Create app_BACKUP.py

app_BACKUP.py

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+# app_BACKUP.py - STREAMLIT APP "Literature Based Research v0.0 (A. Unzicker and J. Bours)"
+# app.py (ChatPDF)
+# https://github.com/vndee/local-rag-example/blob/main/app.py
+
+import os
+import tempfile
+import streamlit as st
+from streamlit_chat import message
+# https://pypi.org/project/streamlit-chat/
+# from streamlit-chat import message
+from rag import ChatPDF
+
+st.set_page_config(page_title="ChatPDF")
+
+
+def display_messages():
+    st.subheader("Chat")
+    for i, (msg, is_user) in enumerate(st.session_state["messages"]):
+        message(msg, is_user=is_user, key=str(i))
+    st.session_state["thinking_spinner"] = st.empty()
+
+
+def process_input():
+    if st.session_state["user_input"] and len(st.session_state["user_input"].strip()) > 0:
+        user_text = st.session_state["user_input"].strip()
+        with st.session_state["thinking_spinner"], st.spinner(f"Thinking"):
+            agent_text = st.session_state["assistant"].ask(user_text)
+
+        st.session_state["messages"].append((user_text, True))
+        st.session_state["messages"].append((agent_text, False))
+
+
+def read_and_save_file():
+    st.session_state["assistant"].clear()
+    st.session_state["messages"] = []
+    st.session_state["user_input"] = ""
+
+    for file in st.session_state["file_uploader"]:
+        with tempfile.NamedTemporaryFile(delete=False) as tf:
+            tf.write(file.getbuffer())
+            file_path = tf.name
+
+        with st.session_state["ingestion_spinner"], st.spinner(f"Ingesting {file.name}"):
+            st.session_state["assistant"].ingest(file_path)
+        os.remove(file_path)
+
+
+def page():
+    if len(st.session_state) == 0:
+        st.session_state["messages"] = []
+        st.session_state["assistant"] = ChatPDF()
+
+    st.header("ChatPDF")
+
+    st.subheader("Upload a document")
+    st.file_uploader(
+        "Upload document",
+        type=["pdf"],
+        key="file_uploader",
+        on_change=read_and_save_file,
+        label_visibility="collapsed",
+        accept_multiple_files=True,
+    )
+
+    st.session_state["ingestion_spinner"] = st.empty()
+
+    display_messages()
+    st.text_input("Message", key="user_input", on_change=process_input)
+
+
+if __name__ == "__main__":
+    page()