-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathrag.py
More file actions
65 lines (48 loc) · 2.03 KB
/
rag.py
File metadata and controls
65 lines (48 loc) · 2.03 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
import streamlit as st
import raghelper
st.set_page_config(page_title="RAG with LangChain", layout="wide")
st.title("RAG with LangChain: URL")
st.divider()
col_input, col_rag, col_normal = st.columns([1,2,2])
with col_input:
target_url = st.text_input(label="Enter URL address:")
st.divider()
prompt = st.text_input(label="Enter your question:", key="url_prompt")
st.divider()
submit_btn = st.button(label="Submit", key="url_button")
if submit_btn:
with col_rag:
with st.spinner("The answer is being loaded..."):
st.success("ANSWER - RAG activated")
st.markdown(raghelper.rag_with_url(target_url, prompt))
st.divider()
with col_normal:
with st.spinner("The answer is being loaded..."):
st.info("ANSWER - RAG deactivated")
st.markdown(raghelper.ask_gemini(prompt))
st.divider()
st.title("RAG with LangChain: PDF")
st.divider()
col_input, col_rag, col_normal = st.columns([1,2,2])
with col_input:
selected_file = st.file_uploader(label="Choose File", type=["pdf"])
st.divider()
prompt = st.text_input(label="Enter your question:", key="pdf_prompt")
st.divider()
submit_btn = st.button(label="Submit", key="pdf_button")
if submit_btn:
with col_rag:
with st.spinner("The answer is being loaded..."):
st.success("ANSWER - RAG activated")
AI_Response, relevant_documents = raghelper.rag_with_pdf(filepath=f"./data/{selected_file.name}", prompt=prompt)
st.markdown(AI_Response)
st.divider()
for doc in relevant_documents:
st.caption(doc.page_content)
st.markdown(f"Source: {doc.metadata}")
st.divider()
with col_normal:
with st.spinner("The answer is being loaded..."):
st.info("ANSWER - RAG deactivated")
st.markdown(raghelper.ask_gemini(prompt))
st.divider()