Update app.py
Browse files
app.py
CHANGED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
import os
|
| 3 |
+
import shutil
|
| 4 |
+
from hybrid_search import multimodelrag
|
| 5 |
+
import warnings
|
| 6 |
+
|
| 7 |
+
warnings.filterwarnings("ignore")
|
| 8 |
+
|
| 9 |
+
# Streamlit UI
|
| 10 |
+
st.set_page_config(layout="wide")
|
| 11 |
+
st.title("AI Document Processor with Conversational RAG")
|
| 12 |
+
|
| 13 |
+
# Initialize conversation history in session state
|
| 14 |
+
if "conversation_history" not in st.session_state:
|
| 15 |
+
st.session_state.conversation_history = []
|
| 16 |
+
|
| 17 |
+
# Sidebar for file upload and settings
|
| 18 |
+
with st.sidebar:
|
| 19 |
+
uploaded_files = st.file_uploader(
|
| 20 |
+
"Upload multiple files (PDF, DOCX, Excel, CSV)",
|
| 21 |
+
type=["pdf", "docx", "xlsx", "csv"],
|
| 22 |
+
accept_multiple_files=True
|
| 23 |
+
)
|
| 24 |
+
|
| 25 |
+
embeding = st.selectbox("Select Memory Mode", ["open_source", "openai"], index=0)
|
| 26 |
+
conversation = st.selectbox("Number of conversation", [2, 4, 6], index=0)
|
| 27 |
+
llm_option = st.selectbox("Select LLM Model", ["GPT-4o", "GPT-4o-mini"], index=1)
|
| 28 |
+
|
| 29 |
+
temp_dir = "temp_uploaded_files"
|
| 30 |
+
|
| 31 |
+
# Clear the previous uploads when new files are uploaded
|
| 32 |
+
if uploaded_files:
|
| 33 |
+
if os.path.exists(temp_dir):
|
| 34 |
+
shutil.rmtree(temp_dir) # Delete the old directory and its contents
|
| 35 |
+
os.makedirs(temp_dir) # Create a fresh directory
|
| 36 |
+
|
| 37 |
+
file_paths = [] # List to store saved file paths
|
| 38 |
+
for file in uploaded_files:
|
| 39 |
+
file_path = os.path.join(temp_dir, file.name)
|
| 40 |
+
with open(file_path, "wb") as f:
|
| 41 |
+
f.write(file.read()) # Save file locally
|
| 42 |
+
file_paths.append(file_path)
|
| 43 |
+
st.write(f"✅ Saved: {file.name}")
|
| 44 |
+
|
| 45 |
+
# Chat interface
|
| 46 |
+
st.write("### Chat Interface")
|
| 47 |
+
|
| 48 |
+
chat_display = "\n".join(st.session_state.conversation_history)
|
| 49 |
+
# st.text_area("Conversation History", chat_display, height=300, disabled=True)
|
| 50 |
+
|
| 51 |
+
# Input for user question
|
| 52 |
+
user_input = st.text_input("Ask a question:")
|
| 53 |
+
llm_model = llm_option
|
| 54 |
+
|
| 55 |
+
if st.button("Retrieve and Answer"):
|
| 56 |
+
if user_input or uploaded_files:
|
| 57 |
+
answer = multimodelrag(user_input, file_paths, embeding, llm_model,conversation)
|
| 58 |
+
|
| 59 |
+
# Update conversation history
|
| 60 |
+
st.session_state.conversation_history.append(f"User: {user_input}")
|
| 61 |
+
st.session_state.conversation_history.append(f"AI: {answer}")
|
| 62 |
+
|
| 63 |
+
# Refresh chat display
|
| 64 |
+
chat_display = "\n".join(st.session_state.conversation_history)
|
| 65 |
+
st.text_area("Conversation History", chat_display, height=400, disabled=True)
|
| 66 |
+
|
| 67 |
+
st.write("### Answer:")
|
| 68 |
+
st.write(answer)
|
| 69 |
+
|
| 70 |
+
|