Update app.py

app.py

@@ -25,9 +25,22 @@ st.header("Welcome!. Today, What company's sustainability story is inspiring you
 
 myurl = st.text_input("Give the URL to find a sustainability or annual report", "Type URL of any company PDF document here")
 
-index = None
+yourquestion = st.text_input('Ask your question on best practices', 'What is Wipro plans for Biodiversity in 2024?')
+st.write('Your input is ', yourquestion)
+
+aimethod = st.radio(
+    "Choose a AI brain",
+    ('GPT3', 'GPT3.5' ), index=1)
 
-if st.button("Load this report "):
+
+os.environ['OPENAI_API_TYPE'] = 'azure'
+os.environ['OPENAI_API_VERSION'] = '2023-03-15-preview'
+
+#llmgpt3 = AzureOpenAI(      deployment_name="testdavanci", model_name="text-davinci-003" )
+llmchatgpt = AzureOpenAI(     deployment_name="esujnand", model_name="gpt-35-turbo" )
+
+if myurl:
+    index = None
     loader1 = PyPDFLoader(myurl)
     langchainembeddings = OpenAIEmbeddings(deployment="textembedding", chunk_size=1)
 
@@ -45,26 +58,7 @@ if st.button("Load this report "):
     st.write(index)
 
 
-
-
-
-
-
-yourquestion = st.text_input('Ask your question on best practices', 'What is Wipro plans for Biodiversity in 2024?')
-st.write('Your input is ', yourquestion)
-
-aimethod = st.radio(
-    "Choose a AI brain",
-    ('GPT3', 'GPT3.5' ), index=1)
-
-
-os.environ['OPENAI_API_TYPE'] = 'azure'
-os.environ['OPENAI_API_VERSION'] = '2023-03-15-preview'
-
-#llmgpt3 = AzureOpenAI(      deployment_name="testdavanci", model_name="text-davinci-003" )
-llmchatgpt = AzureOpenAI(     deployment_name="esujnand", model_name="gpt-35-turbo" )
-
-if st.button("Ask Best practices "):
+if yourquestion:
   answer = index.query(llm=llmchatgpt, question=yourquestion, chain_type="map_reduce")
   st.write(answer)
 
@@ -80,59 +74,7 @@ if aimethod ==  '4 minutes AI method refine':
   mychain_type = "refine"
 
  
-
-
-loader1 = PyPDFLoader(url)
-
-
-def history():
-  mycount = 0 
-  if 'count' not in st.session_state:
-    st.session_state['count'] =  0
-  else:
-    mycount = st.session_state['count']
-
-  if True:
-    st.write(mycount)
-    mycount = mycount + 1 
-    st.session_state['count'] = mycount
-    for i in range(mycount):
-      mystatekeyindex = "element" + str(i)
-      mystatekeyanswerindex = "elementANS" + str(i)
-      if mystatekeyindex not in st.session_state:
-        st.session_state[mystatekeyindex] =  yourquestion
-        st.session_state[mystatekeyanswerindex] = answer
-      if mystatekeyindex in st.session_state:
-        with st.expander(st.session_state[mystatekeyindex]):
-          st.write( st.session_state[mystatekeyanswerindex] )
-
-
-def colorizedtext(acolor, astring):
-  formattedcolor = ":" + acolor + "[" + astring +  "]"
-  return formattedcolor
-
  
 
-if st.button("Ask QA "):
-  documents = loader1.load()
-  answer = ""
-  with st.spinner(" Finding answer for your question .... AI will get you answer in 2 more minutes... "  ):
-    with st.expander( "Employing your choice of AI method ... " + aimethod + "..."):
-      st.write(str(chain)[:700])
-    st.write("AI is reading this [link](%s)" % url)    
-    prgpgress = st.progress(0)
-    st.subheader(colorizedtext("red", yourquestion))
-    for i in range(100):
-        time.sleep(0.9)
-        prgpgress.progress(i+1)
-
-
-
-    answer = chain.run(input_documents=documents, question=yourquestion)
-  st.subheader(colorizedtext("blue", answer))
-  history()
-
-
-