require older version of chroma to fix default_tenant error

.ipynb_checkpoints/app_gradio-checkpoint.py

@@ -533,12 +533,16 @@ def compileinfo(query, atom_qns, atom_qn_ans, atom_qn_strs):
 def deep_research(question, top_k, ec):
 
     full_answer = '## ' + question
+    yield None, None
     
     gen_client = openai_llm(temperature=0,model_name='gpt-4o-mini', openai_api_key = openai_key)
     messages = [("system",df_atomic_prompt,),("human", question),]
     rscope_text = gen_client.invoke(messages).content
 
     full_answer = full_answer +' \n'+ rscope_text   
+    rag_answer = {}
+    rag_answer['answer'] = full_answer
+    yield None, rag_answer
 
     rscope_messages = [("system","""In the given text, what are the main atomic questions being asked? Please answer as a concise list.""",),("human", rscope_text),]
     rscope_qns = gen_client.invoke(rscope_messages).content
@@ -563,6 +567,7 @@ def deep_research(question, top_k, ec):
         atom_qn_strs.append(linkstr)
         full_answer = full_answer +' \n### '+atom_qns[i]
         full_answer = full_answer +' \n'+smallans
+        
 
     finalans, finallinks = compileinfo(question, atom_qns, atom_qn_ans, atom_qn_strs)
     full_answer = full_answer +' \n'+'### Summary:\n'+finalans

.ipynb_checkpoints/requirements-checkpoint.txt

@@ -0,0 +1,25 @@
+matplotlib
+bokeh==2.4.3
+cloudpickle
+scipy
+summa
+faiss-cpu
+langchain
+langchain_openai
+langchain_community
+langchain_core
+langchainhub
+openai
+instructor
+pydantic
+feedparser
+tiktoken
+chromadb==0.4.9
+streamlit==1.37.0
+streamlit-extras
+nltk
+cohere
+duckduckgo-search
+pytextrank
+spacy==3.7.5
+https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl

app_gradio.py

@@ -533,12 +533,16 @@ def compileinfo(query, atom_qns, atom_qn_ans, atom_qn_strs):
 def deep_research(question, top_k, ec):
 
     full_answer = '## ' + question
+    yield None, None
     
     gen_client = openai_llm(temperature=0,model_name='gpt-4o-mini', openai_api_key = openai_key)
     messages = [("system",df_atomic_prompt,),("human", question),]
     rscope_text = gen_client.invoke(messages).content
 
     full_answer = full_answer +' \n'+ rscope_text   
+    rag_answer = {}
+    rag_answer['answer'] = full_answer
+    yield None, rag_answer
 
     rscope_messages = [("system","""In the given text, what are the main atomic questions being asked? Please answer as a concise list.""",),("human", rscope_text),]
     rscope_qns = gen_client.invoke(rscope_messages).content
@@ -563,6 +567,7 @@ def deep_research(question, top_k, ec):
         atom_qn_strs.append(linkstr)
         full_answer = full_answer +' \n### '+atom_qns[i]
         full_answer = full_answer +' \n'+smallans
+        
 
     finalans, finallinks = compileinfo(question, atom_qns, atom_qn_ans, atom_qn_strs)
     full_answer = full_answer +' \n'+'### Summary:\n'+finalans

requirements.txt

@@ -14,7 +14,7 @@ instructor
 pydantic
 feedparser
 tiktoken
-chromadb
+chromadb==0.4.9
 streamlit==1.37.0
 streamlit-extras
 nltk