prasadnu commited on
Commit
ef7792d
·
1 Parent(s): aa4a03c

rerank model

Browse files
pages/Multimodal_Conversational_Search.py CHANGED
@@ -25,6 +25,7 @@ from requests_aws4auth import AWS4Auth
25
  import colpali
26
  from requests.auth import HTTPBasicAuth
27
  import warnings
 
28
 
29
  warnings.filterwarnings("ignore", category=DeprecationWarning)
30
 
@@ -398,118 +399,121 @@ with col_2:
398
  with col_3:
399
  #hidden = st.button("RUN",disabled=True,key = "hidden")
400
  play = st.button("Go",on_click=handle_input,key = "play")
401
- with st.sidebar:
402
- st.page_link("app.py", label=":orange[Home]", icon="🏠")
403
- st.subheader(":blue[Sample Data]")
404
- coln_1,coln_2 = st.columns([70,30])
405
- with coln_1:
406
- index_select = st.radio("Choose one index",["Global Warming stats","UK Housing","Covid19 impacts on Ireland"],key="input_rad_index")
407
- with coln_2:
408
- st.markdown("<p style='font-size:15px'>Preview file</p>",unsafe_allow_html=True)
409
- st.write("[:eyes:](https://github.com/aws-samples/AI-search-with-amazon-opensearch-service/blob/b559f82c07dfcca973f457c0a15d6444752553ab/rag/sample_pdfs/global_warming.pdf)")
410
- st.write("[:eyes:](https://github.com/aws-samples/AI-search-with-amazon-opensearch-service/blob/b559f82c07dfcca973f457c0a15d6444752553ab/rag/sample_pdfs/HPI-Jan-2024-Hometrack.pdf)")
411
- st.write("[:eyes:](https://github.com/aws-samples/AI-search-with-amazon-opensearch-service/blob/b559f82c07dfcca973f457c0a15d6444752553ab/rag/sample_pdfs/covid19_ie.pdf)")
412
- st.markdown("""
413
- <style>
414
- [data-testid=column]:nth-of-type(2) [data-testid=stVerticalBlock]{
415
- gap: 0rem;
416
- }
417
- [data-testid=column]:nth-of-type(1) [data-testid=stVerticalBlock]{
418
- gap: 0rem;
419
- }
420
- </style>
421
- """,unsafe_allow_html=True)
422
- with st.expander("Sample questions:"):
423
- st.markdown("<span style = 'color:#FF9900;'>Global Warming stats</span> - What is the projected energy percentage from renewable sources in future?",unsafe_allow_html=True)
424
- st.markdown("<span style = 'color:#FF9900;'>UK Housing</span> - which city has the highest average housing price in UK ?",unsafe_allow_html=True)
425
- st.markdown("<span style = 'color:#FF9900;'>Covid19 impacts</span> - How many aged above 85 years died due to covid ?",unsafe_allow_html=True)
 
 
 
 
426
 
427
-
428
- #st.subheader(":blue[Your multi-modal documents]")
429
- # pdf_doc_ = st.file_uploader(
430
- # "Upload your PDFs here and click on 'Process'", accept_multiple_files=False)
431
 
 
 
 
 
 
432
 
433
- # pdf_docs = [pdf_doc_]
434
- # if st.button("Process"):
435
- # with st.spinner("Processing"):
436
- # if os.path.isdir(parent_dirname+"/pdfs") == False:
437
- # os.mkdir(parent_dirname+"/pdfs")
 
 
 
 
 
 
 
 
438
 
439
- # for pdf_doc in pdf_docs:
440
- # print(type(pdf_doc))
441
- # pdf_doc_name = (pdf_doc.name).replace(" ","_")
442
- # with open(os.path.join(parent_dirname+"/pdfs",pdf_doc_name),"wb") as f:
443
- # f.write(pdf_doc.getbuffer())
444
-
445
- # request_ = { "bucket": s3_bucket_,"key": pdf_doc_name}
446
- # # if(st.session_state.input_copali_rerank):
447
- # # copali.process_doc(request_)
448
- # # else:
449
- # rag_DocumentLoader.load_docs(request_)
450
- # print('lambda done')
451
- # st.success('you can start searching on your PDF')
 
 
 
 
 
 
 
 
 
 
 
 
 
452
 
453
- ############## haystach demo temporary addition ############
454
- # st.subheader(":blue[Multimodality]")
455
- # colu1,colu2 = st.columns([50,50])
456
- # with colu1:
457
- # in_images = st.toggle('Images', key = 'in_images', disabled = False)
458
- # with colu2:
459
- # in_tables = st.toggle('Tables', key = 'in_tables', disabled = False)
460
- # if(in_tables):
461
- # st.session_state.input_table_with_sql = True
462
- # else:
463
- # st.session_state.input_table_with_sql = False
464
 
465
- ############## haystach demo temporary addition ############
466
- #if(pdf_doc_ is None or pdf_doc_ == ""):
467
- if(index_select == "Global Warming stats"):
468
- st.session_state.input_index = "globalwarming"
469
- if(index_select == "Covid19 impacts on Ireland"):
470
- st.session_state.input_index = "covid19ie"#"choosetheknnalgorithmforyourbillionscaleusecasewithopensearchawsbigdatablog"
471
- if(index_select == "BEIR"):
472
- st.session_state.input_index = "2104"
473
- if(index_select == "UK Housing"):
474
- st.session_state.input_index = "hpijan2024hometrack"
475
-
476
- # custom_index = st.text_input("If uploaded the file already, enter the original file name", value = "")
477
- # if(custom_index!=""):
478
- # st.session_state.input_index = re.sub('[^A-Za-z0-9]+', '', (custom_index.lower().replace(".pdf","").split("/")[-1].split(".")[0]).lower())
479
-
480
-
481
-
482
- st.subheader(":blue[Retriever]")
483
- search_type = st.multiselect('Select the Retriever(s)',
484
- ['Keyword Search',
485
- 'Vector Search',
486
- 'Sparse Search',
487
- ],
488
- ['Vector Search'],
489
-
490
- key = 'input_rag_searchType',
491
- help = "Select the type of Search, adding more than one search type will activate hybrid search"#\n1. Conversational Search (Recommended) - This will include both the OpenSearch and LLM in the retrieval pipeline \n (note: This will put opensearch response as context to LLM to answer) \n2. OpenSearch vector search - This will put only OpenSearch's vector search in the pipeline, \n(Warning: this will lead to unformatted results )\n3. LLM Text Generation - This will include only LLM in the pipeline, \n(Warning: This will give hallucinated and out of context answers)"
492
- )
493
-
494
- re_rank = st.checkbox('Re-rank results', key = 'input_re_rank', disabled = False, value = True, help = "Checking this box will re-rank the results using a cross-encoder model")
495
-
496
- if(re_rank):
497
- st.session_state.input_is_rerank = True
498
- else:
499
- st.session_state.input_is_rerank = False
500
-
501
- st.subheader(":blue[Multi-vector retrieval]")
502
-
503
- colpali_search_rerank = st.checkbox('Try Colpali multi-vector retrieval on the [sample dataset](https://huggingface.co/datasets/vespa-engine/gpfg-QA)', key = 'input_colpali', disabled = False, value = False, help = "Checking this box will use colpali as the embedding model and retrieval is performed using multi-vectors followed by re-ranking using MaxSim")
504
 
505
- if(colpali_search_rerank):
506
- st.session_state.input_is_colpali = True
507
- #st.session_state.input_query = ""
508
- else:
509
- st.session_state.input_is_colpali = False
510
-
511
- with st.expander("Sample questions for Colpali retriever:"):
512
- st.write("1. Proportion of female new hires 2021-2023? \n\n 2. First-half 2021 return on unlisted real estate investments? \n\n 3. Trend of the fund's expected absolute volatility between January 2014 and January 2016? \n\n 4. Fund return percentage in 2017? \n\n 5. Annualized gross return of the fund from 1997 to 2008?")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
513
 
514
-
515
-
 
25
  import colpali
26
  from requests.auth import HTTPBasicAuth
27
  import warnings
28
+ from streamlit import experimental_fragment
29
 
30
  warnings.filterwarnings("ignore", category=DeprecationWarning)
31
 
 
399
  with col_3:
400
  #hidden = st.button("RUN",disabled=True,key = "hidden")
401
  play = st.button("Go",on_click=handle_input,key = "play")
402
+
403
+ @experimental_fragment
404
+ def sidebar_controls():
405
+ with st.sidebar:
406
+ st.page_link("app.py", label=":orange[Home]", icon="🏠")
407
+ st.subheader(":blue[Sample Data]")
408
+ coln_1,coln_2 = st.columns([70,30])
409
+ with coln_1:
410
+ index_select = st.radio("Choose one index",["Global Warming stats","UK Housing","Covid19 impacts on Ireland"],key="input_rad_index")
411
+ with coln_2:
412
+ st.markdown("<p style='font-size:15px'>Preview file</p>",unsafe_allow_html=True)
413
+ st.write("[:eyes:](https://github.com/aws-samples/AI-search-with-amazon-opensearch-service/blob/b559f82c07dfcca973f457c0a15d6444752553ab/rag/sample_pdfs/global_warming.pdf)")
414
+ st.write("[:eyes:](https://github.com/aws-samples/AI-search-with-amazon-opensearch-service/blob/b559f82c07dfcca973f457c0a15d6444752553ab/rag/sample_pdfs/HPI-Jan-2024-Hometrack.pdf)")
415
+ st.write("[:eyes:](https://github.com/aws-samples/AI-search-with-amazon-opensearch-service/blob/b559f82c07dfcca973f457c0a15d6444752553ab/rag/sample_pdfs/covid19_ie.pdf)")
416
+ st.markdown("""
417
+ <style>
418
+ [data-testid=column]:nth-of-type(2) [data-testid=stVerticalBlock]{
419
+ gap: 0rem;
420
+ }
421
+ [data-testid=column]:nth-of-type(1) [data-testid=stVerticalBlock]{
422
+ gap: 0rem;
423
+ }
424
+ </style>
425
+ """,unsafe_allow_html=True)
426
+ with st.expander("Sample questions:"):
427
+ st.markdown("<span style = 'color:#FF9900;'>Global Warming stats</span> - What is the projected energy percentage from renewable sources in future?",unsafe_allow_html=True)
428
+ st.markdown("<span style = 'color:#FF9900;'>UK Housing</span> - which city has the highest average housing price in UK ?",unsafe_allow_html=True)
429
+ st.markdown("<span style = 'color:#FF9900;'>Covid19 impacts</span> - How many aged above 85 years died due to covid ?",unsafe_allow_html=True)
430
+
431
 
432
+ #st.subheader(":blue[Your multi-modal documents]")
433
+ # pdf_doc_ = st.file_uploader(
434
+ # "Upload your PDFs here and click on 'Process'", accept_multiple_files=False)
435
+
436
 
437
+ # pdf_docs = [pdf_doc_]
438
+ # if st.button("Process"):
439
+ # with st.spinner("Processing"):
440
+ # if os.path.isdir(parent_dirname+"/pdfs") == False:
441
+ # os.mkdir(parent_dirname+"/pdfs")
442
 
443
+ # for pdf_doc in pdf_docs:
444
+ # print(type(pdf_doc))
445
+ # pdf_doc_name = (pdf_doc.name).replace(" ","_")
446
+ # with open(os.path.join(parent_dirname+"/pdfs",pdf_doc_name),"wb") as f:
447
+ # f.write(pdf_doc.getbuffer())
448
+
449
+ # request_ = { "bucket": s3_bucket_,"key": pdf_doc_name}
450
+ # # if(st.session_state.input_copali_rerank):
451
+ # # copali.process_doc(request_)
452
+ # # else:
453
+ # rag_DocumentLoader.load_docs(request_)
454
+ # print('lambda done')
455
+ # st.success('you can start searching on your PDF')
456
 
457
+ ############## haystach demo temporary addition ############
458
+ # st.subheader(":blue[Multimodality]")
459
+ # colu1,colu2 = st.columns([50,50])
460
+ # with colu1:
461
+ # in_images = st.toggle('Images', key = 'in_images', disabled = False)
462
+ # with colu2:
463
+ # in_tables = st.toggle('Tables', key = 'in_tables', disabled = False)
464
+ # if(in_tables):
465
+ # st.session_state.input_table_with_sql = True
466
+ # else:
467
+ # st.session_state.input_table_with_sql = False
468
+
469
+ ############## haystach demo temporary addition ############
470
+ #if(pdf_doc_ is None or pdf_doc_ == ""):
471
+ if(index_select == "Global Warming stats"):
472
+ st.session_state.input_index = "globalwarming"
473
+ if(index_select == "Covid19 impacts on Ireland"):
474
+ st.session_state.input_index = "covid19ie"#"choosetheknnalgorithmforyourbillionscaleusecasewithopensearchawsbigdatablog"
475
+ if(index_select == "BEIR"):
476
+ st.session_state.input_index = "2104"
477
+ if(index_select == "UK Housing"):
478
+ st.session_state.input_index = "hpijan2024hometrack"
479
+
480
+ # custom_index = st.text_input("If uploaded the file already, enter the original file name", value = "")
481
+ # if(custom_index!=""):
482
+ # st.session_state.input_index = re.sub('[^A-Za-z0-9]+', '', (custom_index.lower().replace(".pdf","").split("/")[-1].split(".")[0]).lower())
483
 
 
 
 
 
 
 
 
 
 
 
 
484
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
485
 
486
+ st.subheader(":blue[Retriever]")
487
+ search_type = st.multiselect('Select the Retriever(s)',
488
+ ['Keyword Search',
489
+ 'Vector Search',
490
+ 'Sparse Search',
491
+ ],
492
+ ['Vector Search'],
493
+
494
+ key = 'input_rag_searchType',
495
+ help = "Select the type of Search, adding more than one search type will activate hybrid search"#\n1. Conversational Search (Recommended) - This will include both the OpenSearch and LLM in the retrieval pipeline \n (note: This will put opensearch response as context to LLM to answer) \n2. OpenSearch vector search - This will put only OpenSearch's vector search in the pipeline, \n(Warning: this will lead to unformatted results )\n3. LLM Text Generation - This will include only LLM in the pipeline, \n(Warning: This will give hallucinated and out of context answers)"
496
+ )
497
+
498
+ re_rank = st.checkbox('Re-rank results', key = 'input_re_rank', disabled = False, value = True, help = "Checking this box will re-rank the results using a cross-encoder model")
499
+
500
+ if(re_rank):
501
+ st.session_state.input_is_rerank = True
502
+ else:
503
+ st.session_state.input_is_rerank = False
504
+
505
+ st.subheader(":blue[Multi-vector retrieval]")
506
+
507
+ colpali_search_rerank = st.checkbox('Try Colpali multi-vector retrieval on the [sample dataset](https://huggingface.co/datasets/vespa-engine/gpfg-QA)', key = 'input_colpali', disabled = False, value = False, help = "Checking this box will use colpali as the embedding model and retrieval is performed using multi-vectors followed by re-ranking using MaxSim")
508
+
509
+ if(colpali_search_rerank):
510
+ st.session_state.input_is_colpali = True
511
+ #st.session_state.input_query = ""
512
+ else:
513
+ st.session_state.input_is_colpali = False
514
+
515
+ with st.expander("Sample questions for Colpali retriever:"):
516
+ st.write("1. Proportion of female new hires 2021-2023? \n\n 2. First-half 2021 return on unlisted real estate investments? \n\n 3. Trend of the fund's expected absolute volatility between January 2014 and January 2016? \n\n 4. Fund return percentage in 2017? \n\n 5. Annualized gross return of the fund from 1997 to 2008?")
517
 
518
+ sidebar_controls()
519
+