awacke1 commited on
Commit
808a883
β€’
1 Parent(s): 8a8a89c

Update backup10.app.py

Browse files
Files changed (1) hide show
  1. backup10.app.py +80 -25
backup10.app.py CHANGED
@@ -324,6 +324,7 @@ def search_glossary(query):
324
  # πŸ•΅οΈβ€β™‚οΈ Searching the glossary for: query
325
  all_results = ""
326
  #st.markdown(f"- {query}")
 
327
 
328
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
329
  client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
@@ -334,8 +335,11 @@ def search_glossary(query):
334
  stream_outputs=True,
335
  api_name="/ask_llm"
336
  )
 
337
  st.markdown(result)
338
  st.code(result, language="python", line_numbers=True)
 
 
339
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
340
  result2 = client.predict(
341
  prompt=query,
@@ -343,8 +347,11 @@ def search_glossary(query):
343
  stream_outputs=True,
344
  api_name="/ask_llm"
345
  )
 
346
  st.markdown(result2)
347
  st.code(result2, language="python", line_numbers=True)
 
 
348
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
349
  result3 = client.predict(
350
  prompt=query,
@@ -352,8 +359,11 @@ def search_glossary(query):
352
  stream_outputs=True,
353
  api_name="/ask_llm"
354
  )
 
355
  st.markdown(result3)
356
  st.code(result3, language="python", line_numbers=True)
 
 
357
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
358
  response2 = client.predict(
359
  message=query, # str in 'parameter_13' Textbox component
@@ -362,10 +372,42 @@ def search_glossary(query):
362
  llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
363
  api_name="/update_with_rag_md"
364
  )
 
365
  st.markdown(response2[0])
366
- st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
 
 
367
  st.markdown(response2[1])
368
  st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
369
  return result, result2, result3, response2
370
 
371
 
@@ -610,7 +652,7 @@ def main():
610
 
611
  if documents_to_display:
612
  # 🎨 View options - "Different strokes for different folks"
613
- view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit, Save, Run AI', 'Clone Document', 'New Record']
614
  selected_view = st.sidebar.selectbox("Select Viewer/Editor", view_options, index=2)
615
 
616
 
@@ -708,11 +750,9 @@ def main():
708
  st.error(f"Error deleting document: {str(e)}")
709
 
710
 
711
- elif selected_view == 'Show as Edit, Save, Run AI':
712
- Label = '# ✏️ Edit and save view - Edit with wisdom, save with precision'
713
- st.markdown(Label)
714
- st.markdown("#### Edit the document fields below:")
715
-
716
  num_cols = len(documents_to_display)
717
  cols = st.columns(num_cols)
718
 
@@ -729,33 +769,48 @@ def main():
729
  editable_doc = doc.copy()
730
  editable_doc.pop('name', None)
731
 
732
-
733
  doc_str = st.text_area("Document Content (in JSON format)",
734
  value=json.dumps(editable_doc, indent=2),
735
  height=300,
736
  key=f'doc_str_{idx}')
737
 
738
  # πŸ’ΎπŸ€– Save and AI operations
739
- col_save, col_ai, col_delete = st.columns(3)
740
-
741
- with col_save:
742
- if st.button("πŸ’Ύ Save Changes", key=f'save_button_{idx}'):
743
- try:
744
- updated_doc = json.loads(doc_str)
745
- updated_doc['id'] = editable_id
746
- success, message = update_record(container, updated_doc)
747
- if success:
748
- st.success(f"Document {updated_doc['id']} saved successfully.")
749
- st.session_state.selected_document_id = updated_doc['id']
750
- st.rerun()
751
- else:
752
- st.error(message)
753
- except json.JSONDecodeError as e:
754
- st.error(f"Invalid JSON: {str(e)} 🚫")
755
 
756
  with col_ai:
757
  if st.button("πŸ€– Run AI", key=f'run_with_ai_button_{idx}'):
758
- search_glossary(json.dumps(editable_doc, indent=2))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
759
 
760
 
761
  elif selected_view == 'Clone Document':
 
324
  # πŸ•΅οΈβ€β™‚οΈ Searching the glossary for: query
325
  all_results = ""
326
  #st.markdown(f"- {query}")
327
+
328
 
329
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
330
  client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
 
335
  stream_outputs=True,
336
  api_name="/ask_llm"
337
  )
338
+ st.markdown("# Mixtral-8x7B-Instruct-v0.1")
339
  st.markdown(result)
340
  st.code(result, language="python", line_numbers=True)
341
+
342
+
343
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
344
  result2 = client.predict(
345
  prompt=query,
 
347
  stream_outputs=True,
348
  api_name="/ask_llm"
349
  )
350
+ st.markdown("# Mistral-7B-Instruct-v0.2")
351
  st.markdown(result2)
352
  st.code(result2, language="python", line_numbers=True)
353
+
354
+
355
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
356
  result3 = client.predict(
357
  prompt=query,
 
359
  stream_outputs=True,
360
  api_name="/ask_llm"
361
  )
362
+ st.markdown("# Gemma-7b-it")
363
  st.markdown(result3)
364
  st.code(result3, language="python", line_numbers=True)
365
+
366
+
367
  # πŸ” ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
368
  response2 = client.predict(
369
  message=query, # str in 'parameter_13' Textbox component
 
372
  llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
373
  api_name="/update_with_rag_md"
374
  )
375
+ st.markdown("# Mistral-7B-Instruct-v0.2 update_with_rag_md 0")
376
  st.markdown(response2[0])
377
+ st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
378
+
379
+ st.markdown("# Mistral-7B-Instruct-v0.2 update_with_rag_md 1")
380
  st.markdown(response2[1])
381
  st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
382
+
383
+
384
+ # Persist AI Results to Markdown Files
385
+ try:
386
+ filename = generate_filename(result, "md")
387
+ create_file(filename, query, result)
388
+ st.session_state.chat_history.append({"assistant": query, "ArXiV": result})
389
+ except:
390
+ st.markdown('1 error')
391
+ try:
392
+ filename = generate_filename(result2, "md")
393
+ create_file(filename, query, result2)
394
+ st.session_state.chat_history.append({"assistant": query, "ArXiV": result2})
395
+ except:
396
+ st.markdown('2 error')
397
+ try:
398
+ filename = generate_filename(response2[0], "md")
399
+ create_file(filename, query, response2[0])
400
+ st.session_state.chat_history.append({"assistant": query, "ArXiV": response2[0]})
401
+ except:
402
+ st.markdown('3 error')
403
+ try:
404
+ filename = generate_filename(response2[1], "md")
405
+ create_file(filename, query, response2[1])
406
+ st.session_state.chat_history.append({"assistant": query, "ArXiV": response2[1]})
407
+ except:
408
+ st.markdown('4 error')
409
+
410
+
411
  return result, result2, result3, response2
412
 
413
 
 
652
 
653
  if documents_to_display:
654
  # 🎨 View options - "Different strokes for different folks"
655
+ view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Run AI', 'Clone Document', 'New Record']
656
  selected_view = st.sidebar.selectbox("Select Viewer/Editor", view_options, index=2)
657
 
658
 
 
750
  st.error(f"Error deleting document: {str(e)}")
751
 
752
 
753
+ elif selected_view == 'Show as Run AI':
754
+ Label = '# ✏️ Run AI with wisdom, save with precision'
755
+ st.markdown(Label)
 
 
756
  num_cols = len(documents_to_display)
757
  cols = st.columns(num_cols)
758
 
 
769
  editable_doc = doc.copy()
770
  editable_doc.pop('name', None)
771
 
 
772
  doc_str = st.text_area("Document Content (in JSON format)",
773
  value=json.dumps(editable_doc, indent=2),
774
  height=300,
775
  key=f'doc_str_{idx}')
776
 
777
  # πŸ’ΎπŸ€– Save and AI operations
778
+ col_ai, col_delete = st.columns(2)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
779
 
780
  with col_ai:
781
  if st.button("πŸ€– Run AI", key=f'run_with_ai_button_{idx}'):
782
+
783
+
784
+
785
+
786
+ # Experiment to get content fields πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–
787
+ total_docs = len(documents)
788
+ doc = documents[st.session_state.current_index]
789
+ values_with_space = []
790
+ def extract_values2(obj):
791
+ if isinstance(obj, dict):
792
+ for k, v in obj.items():
793
+ extract_values2(v)
794
+ elif isinstance(obj, list):
795
+ for item in obj:
796
+ extract_values2(item)
797
+ elif isinstance(obj, str):
798
+ if ' ' in obj:
799
+ values_with_space.append(obj)
800
+ extract_values2(doc)
801
+ #st.markdown("#### πŸ”— Links for Extracted Texts")
802
+ for term in values_with_space:
803
+ display_glossary_entity(term)
804
+ search_glossary(term)
805
+
806
+ #content = json.dumps(doc, indent=2)
807
+ #st.markdown(f"```json\n{content}\n```")
808
+ # Experiment to get content fields πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–πŸ€–
809
+
810
+
811
+
812
+
813
+ #search_glossary(json.dumps(editable_doc, indent=2))
814
 
815
 
816
  elif selected_view == 'Clone Document':