Update app.py

app.py

@@ -72,7 +72,6 @@ if load_button:
 #********SIDE BAR Funtionality ended*******
 
 #Captures User Inputs
-api_key = st.session_state['API_Key'] = st.text_input("Paste in your OPENAI API key?", type="password")
 prompt = st.text_input('Ask a question about your uploaded website: ❓',key="prompt")  # The box for the text prompt
 document_count = st.slider('No.Of links to return 🔗 - (0 LOW || 5 HIGH)', 0, 5, 2,step=1)
 
@@ -81,7 +80,7 @@ submit = st.button("Search")
 
 if submit:
     #Proceed only if API keys are provided
-    if st.session_state['Website_URL'] !="" and st.session_state['HuggingFace_API_Key'] !="" and st.session_state['Pinecone_ENV'] !="" and st.session_state['Pinecone_API_Key']!="" and st.session_state['API_Key'] != '':
+    if st.session_state['Website_URL'] !="" and st.session_state['HuggingFace_API_Key'] !="" and st.session_state['Pinecone_ENV'] !="" and st.session_state['Pinecone_API_Key']!="":
 
         
        #Creating embeddings instance
@@ -106,64 +105,7 @@ if submit:
             st.write("**Info**: "+document.page_content)
             st.write("**Link**: "+ document.metadata['source'])
         
-        
-        
-        '''
-        q = st.text_input('Ask a question about the content of your file:')
-        if q:  # if the user entered a question and hit enter
-            if 'vs' in st.session_state:  # if there's the vector store (user uploaded, split and embedded a file)
-                #vector_store = st.session_state.vs
-                #Creating embeddings instance
-                embeddings=create_embeddings()
-                st.write("Embeddings instance creation done...")
-                st.write(f'k: {k}')
-                answer = ask_and_get_answer(embeddings, q, k)
-                
-                # text area widget for the LLM answer
-                st.text_area('LLM Answer: ', value=answer)
-    
-                st.divider()
-    
-                # if there's no chat history in the session state, create it
-                if 'history' not in st.session_state:
-                    st.session_state.history = ''
     
-                # the current question and answer
-                value = f'Q: {q} \nA: {answer}'
-    
-                st.session_state.history = f'{value} \n {"-" * 100} \n {st.session_state.history}'
-                h = st.session_state.history
-    
-                # text area widget for the chat history
-                st.text_area(label='Chat History', value=h, key='history', height=400)
-
-               
-
-        #Creating embeddings instance
-        embeddings=create_embeddings()
-        st.write("Embeddings instance creation done...")
-
-        #Pull index data from Pinecone
-        index=pull_from_pinecone(st.session_state['Pinecone_API_Key'],st.session_state['Pinecone_ENV'],st.session_state['Pinecone_Index'],embeddings)
-        st.write("Pinecone index retrieval done...")
-
-        
-
-        #Fetch relavant documents from Pinecone index
-        relavant_docs=get_similar_docs(index,prompt,document_count)
-        st.write(relavant_docs)
-
-        #Displaying search results
-        st.success("Please find the search results :")
-         #Displaying search results
-        st.write("search results list....")
-        for document in relavant_docs:
-            
-            st.write("👉**Result : "+ str(relavant_docs.index(document)+1)+"**")
-            st.write("**Info**: "+document.page_content)
-            st.write("**Link**: "+ document.metadata['source'])
-       
-        '''
 
     else:
         st.sidebar.error("Ooopssss!!! Please provide API keys.....")