Update app.py

app.py

@@ -184,72 +184,70 @@ openai.api_key = openai_api_key
 pinecone_api_key = st.secrets["pinecone_api_key"]
 pinecone_environment = st.secrets["pinecone_environment"]
 
-PINECONE_API_KEY='555c0e70-331d-4b43-aac7-5b3aac5078d6'
 # AUTHENTICATE/INITIALIZE PINCONE SERVICE
 from pinecone import Pinecone
-# pc = Pinecone(api_key=pinecone_api_key)
-pc = Pinecone(api_key=PINECONE_API_KEY)
+pc = Pinecone(api_key=pinecone_api_key)
 
 
-# Define the name of the Pinecone index
-index_name = 'mimtssinkqa'
+# # Define the name of the Pinecone index
+# index_name = 'mimtssinkqa'
 
-# Initialize the OpenAI embeddings object 
-from langchain_openai import OpenAIEmbeddings
-embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
+# # Initialize the OpenAI embeddings object 
+# from langchain_openai import OpenAIEmbeddings
+# embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
 
-# LOAD VECTOR STORE FROM EXISTING INDEX
-from langchain_community.vectorstores import Pinecone
-vector_store = Pinecone.from_existing_index(index_name='mimtssinkqa', embedding=embeddings)
+# # LOAD VECTOR STORE FROM EXISTING INDEX
+# from langchain_community.vectorstores import Pinecone
+# vector_store = Pinecone.from_existing_index(index_name='mimtssinkqa', embedding=embeddings)
 
-def ask_with_memory(vector_store, query, chat_history=[]):
-    from langchain_openai import ChatOpenAI
-    from langchain.chains import ConversationalRetrievalChain
-    from langchain.memory import ConversationBufferMemory
+# def ask_with_memory(vector_store, query, chat_history=[]):
+#     from langchain_openai import ChatOpenAI
+#     from langchain.chains import ConversationalRetrievalChain
+#     from langchain.memory import ConversationBufferMemory
 
-    from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
+#     from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
 
-    llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=0.5)
+#     llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=0.5)
     
-    retriever = vector_store.as_retriever(search_type='similarity', search_kwargs={'k': 3})
+#     retriever = vector_store.as_retriever(search_type='similarity', search_kwargs={'k': 3})
     
-    memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)
+#     memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)
 
-    system_template = r'''
-    Use the following pieces of context to answer the user's question. The title of the article is Intensifying literacy Instruction: Essential Practices. Do not mention the Header unless asked.
-    ----------------
-    Context: ```{context}```
-    '''
+#     system_template = r'''
+#     Use the following pieces of context to answer the user's question. The title of the article is Intensifying literacy Instruction: Essential Practices. Do not mention the Header unless asked.
+#     ----------------
+#     Context: ```{context}```
+#     '''
 
-    user_template = '''
-    Question: ```{question}```
-    Chat History: ```{chat_history}```
-    '''
+#     user_template = '''
+#     Question: ```{question}```
+#     Chat History: ```{chat_history}```
+#     '''
 
-    messages= [
-        SystemMessagePromptTemplate.from_template(system_template),
-        HumanMessagePromptTemplate.from_template(user_template)
-    ]
+#     messages= [
+#         SystemMessagePromptTemplate.from_template(system_template),
+#         HumanMessagePromptTemplate.from_template(user_template)
+#     ]
 
-    qa_prompt = ChatPromptTemplate.from_messages (messages)
+#     qa_prompt = ChatPromptTemplate.from_messages (messages)
 
-    chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory,chain_type='stuff', combine_docs_chain_kwargs={'prompt': qa_prompt}, verbose=False
-    )
+#     chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory,chain_type='stuff', combine_docs_chain_kwargs={'prompt': qa_prompt}, verbose=False
+#     )
 
-    result = chain.invoke({'question': query, 'chat_history': st.session_state['history']})
-    # Append to chat history as a dictionary
-    st.session_state['history'].append((query, result['answer']))
+#     result = chain.invoke({'question': query, 'chat_history': st.session_state['history']})
+#     # Append to chat history as a dictionary
+#     st.session_state['history'].append((query, result['answer']))
     
-    return (result['answer'])
+#     return (result['answer'])
 
-# Initialize chat history
-if 'history' not in st.session_state:
-    st.session_state['history'] = []
+# # Initialize chat history
+# if 'history' not in st.session_state:
+#     st.session_state['history'] = []
     
-# # STREAMLIT APPLICATION SETUP WITH PASSWORD
+# # # STREAMLIT APPLICATION SETUP WITH PASSWORD
 
-# Define the correct password
-# correct_password = "MiBLSi"
+# # Define the correct password
+# # correct_password = "MiBLSi"
 
 #Add the image with a specified width
 image_width = 300  # Set the desired width in pixels
@@ -261,82 +259,82 @@ st.markdown("""
 Resource: **Intensifying Literacy Instruction: Essential Practices**
 """, unsafe_allow_html=True)
 
-with st.sidebar:
-    # Password input field
-    # password = st.text_input("Enter Password:", type="password")
+# with st.sidebar:
+#     # Password input field
+#     # password = st.text_input("Enter Password:", type="password")
     
-    st.image('mimtss.png', width=200)
-    st.image('Literacy_Cover.png', width=200)
-    st.link_button("View | Download", "https://mimtsstac.org/sites/default/files/session-documents/Intensifying%20Literacy%20Instruction%20-%20Essential%20Practices%20%28NATIONAL%29.pdf")
+#     st.image('mimtss.png', width=200)
+#     st.image('Literacy_Cover.png', width=200)
+#     st.link_button("View | Download", "https://mimtsstac.org/sites/default/files/session-documents/Intensifying%20Literacy%20Instruction%20-%20Essential%20Practices%20%28NATIONAL%29.pdf")
         
-    Audio_Header_text = """
-    **Tune into Dr. St. Martin's introduction**"""
-    st.markdown(Audio_Header_text)
+#     Audio_Header_text = """
+#     **Tune into Dr. St. Martin's introduction**"""
+#     st.markdown(Audio_Header_text)
         
-    # Path or URL to the audio file
-    audio_file_path = 'Audio_Introduction_Literacy.m4a'
-    # Display the audio player widget
-    st.audio(audio_file_path, format='audio/mp4', start_time=0)
+#     # Path or URL to the audio file
+#     audio_file_path = 'Audio_Introduction_Literacy.m4a'
+#     # Display the audio player widget
+#     st.audio(audio_file_path, format='audio/mp4', start_time=0)
         
-    # Citation text with Markdown formatting
-    citation_Content_text = """
-    **Citation**  
-    St. Martin, K., Vaughn, S., Troia, G., Fien, & H., Coyne, M. (2023). *Intensifying literacy instruction: Essential practices, Version 2.0*. Lansing, MI: MiMTSS Technical Assistance Center, Michigan Department of Education.
+#     # Citation text with Markdown formatting
+#     citation_Content_text = """
+#     **Citation**  
+#     St. Martin, K., Vaughn, S., Troia, G., Fien, & H., Coyne, M. (2023). *Intensifying literacy instruction: Essential practices, Version 2.0*. Lansing, MI: MiMTSS Technical Assistance Center, Michigan Department of Education.
         
-    **Table of Contents**  
-    * **Introduction**: pg. 1  
-    * **Intensifying Literacy Instruction: Essential Practices**: pg. 4  
-    * **Purpose**: pg. 4  
-    * **Practice 1**: Knowledge and Use of a Learning Progression for Developing Skilled Readers and Writers: pg. 6
-    * **Practice 2**: Design and Use of an Intervention Platform as the Foundation for Effective Intervention: pg. 13
-    * **Practice 3**: On-going Data-Based Decision Making for Providing and Intensifying Interventions: pg. 16
-    * **Practice 4**: Adaptations to Increase the Instructional Intensity of the Intervention: pg. 20
-    * **Practice 5**: Infrastructures to Support Students with Significant and Persistent Literacy Needs: pg. 24
-    * **Motivation and Engagement**: pg. 28
-    * **Considerations for Understanding How Students' Learning and Behavior are Enhanced**: pg. 28
-    * **Summary**: pg. 29
-    * **Endnotes**: pg. 30
-    * **Acknowledgment**: pg. 39
-    """
-    st.markdown(citation_Content_text)
-
-# if password == correct_password:
-# Define a list of possible placeholder texts
-placeholders = [
-    'Example: Summarize the article in 200 words or less',
-    'Example: What are the essential practices?',
-    'Example: I am a teacher, why is this resource important?',
-    'Example: How can this resource support my instruction in reading and writing?',
-    'Example: Does this resource align with the learning progression for developing skilled readers and writers?',
-    'Example: How does this resource address the needs of students scoring below the 20th percentile?',
-    'Example: Are there assessment tools included in this resource to monitor student progress?',
-    'Example: Does this resource provide guidance on data collection and analysis for monitoring student outcomes?',
-    "Example: How can this resource be used to support students' social-emotional development?",
-    "Example: How does this resource align with the district's literacy goals and objectives?",
-    'Example: What research and evidence support the effectiveness of this resource?',
-    'Example: Does this resource provide guidance on implementation fidelity'
-]
-
-# Select a random placeholder from the list
-if 'placeholder' not in st.session_state:
-    st.session_state.placeholder = random.choice(placeholders)
+#     **Table of Contents**  
+#     * **Introduction**: pg. 1  
+#     * **Intensifying Literacy Instruction: Essential Practices**: pg. 4  
+#     * **Purpose**: pg. 4  
+#     * **Practice 1**: Knowledge and Use of a Learning Progression for Developing Skilled Readers and Writers: pg. 6
+#     * **Practice 2**: Design and Use of an Intervention Platform as the Foundation for Effective Intervention: pg. 13
+#     * **Practice 3**: On-going Data-Based Decision Making for Providing and Intensifying Interventions: pg. 16
+#     * **Practice 4**: Adaptations to Increase the Instructional Intensity of the Intervention: pg. 20
+#     * **Practice 5**: Infrastructures to Support Students with Significant and Persistent Literacy Needs: pg. 24
+#     * **Motivation and Engagement**: pg. 28
+#     * **Considerations for Understanding How Students' Learning and Behavior are Enhanced**: pg. 28
+#     * **Summary**: pg. 29
+#     * **Endnotes**: pg. 30
+#     * **Acknowledgment**: pg. 39
+#     """
+#     st.markdown(citation_Content_text)
+
+# # if password == correct_password:
+# # Define a list of possible placeholder texts
+# placeholders = [
+#     'Example: Summarize the article in 200 words or less',
+#     'Example: What are the essential practices?',
+#     'Example: I am a teacher, why is this resource important?',
+#     'Example: How can this resource support my instruction in reading and writing?',
+#     'Example: Does this resource align with the learning progression for developing skilled readers and writers?',
+#     'Example: How does this resource address the needs of students scoring below the 20th percentile?',
+#     'Example: Are there assessment tools included in this resource to monitor student progress?',
+#     'Example: Does this resource provide guidance on data collection and analysis for monitoring student outcomes?',
+#     "Example: How can this resource be used to support students' social-emotional development?",
+#     "Example: How does this resource align with the district's literacy goals and objectives?",
+#     'Example: What research and evidence support the effectiveness of this resource?',
+#     'Example: Does this resource provide guidance on implementation fidelity'
+# ]
+
+# # Select a random placeholder from the list
+# if 'placeholder' not in st.session_state:
+#     st.session_state.placeholder = random.choice(placeholders)
     
-q = st.text_input(label='Ask a question or make a request ', value='', placeholder=st.session_state.placeholder)
-# q = st.text_input(label='Ask a question or make a request ', value='')
+# q = st.text_input(label='Ask a question or make a request ', value='', placeholder=st.session_state.placeholder)
+# # q = st.text_input(label='Ask a question or make a request ', value='')
     
-if q:
-    with st.spinner('Thinking...'):
-        answer = ask_with_memory(vector_store, q, st.session_state.history)
+# if q:
+#     with st.spinner('Thinking...'):
+#         answer = ask_with_memory(vector_store, q, st.session_state.history)
     
-    # Display the response in a text area
-    st.text_area('Response: ', value=answer, height=400, key="response_text_area")
+#     # Display the response in a text area
+#     st.text_area('Response: ', value=answer, height=400, key="response_text_area")
     
-    st.success('Powered by MTSS GPT. AI can make mistakes. Consider checking important information.')
+#     st.success('Powered by MTSS GPT. AI can make mistakes. Consider checking important information.')
 
-    # # Prepare chat history text for display
-    # history_text = "\n\n".join(f"Q: {entry[0]}\nA: {entry[1]}" for entry in st.session_state.history)
-    # Prepare chat history text for display in reverse order
-    history_text = "\n\n".join(f"Q: {entry[0]}\nA: {entry[1]}" for entry in reversed(st.session_state.history))
+#     # # Prepare chat history text for display
+#     # history_text = "\n\n".join(f"Q: {entry[0]}\nA: {entry[1]}" for entry in st.session_state.history)
+#     # Prepare chat history text for display in reverse order
+#     history_text = "\n\n".join(f"Q: {entry[0]}\nA: {entry[1]}" for entry in reversed(st.session_state.history))
 
-    # Display chat history
-    st.text_area('Chat History', value=history_text, height=800)
+#     # Display chat history
+#     st.text_area('Chat History', value=history_text, height=800)