Update app.py

app.py

@@ -182,11 +182,11 @@ openai.api_key = openai_api_key
 
 # Fetch Pinecone API key and environment from Streamlit secrets
 pinecone_api_key = st.secrets["pinecone_api_key"]
-pinecone_environment = st.secrets["pinecone_environment"]
+# pinecone_environment = st.secrets["pinecone_environment"]
 
 # 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= 'YOUR_API_KEY')
 
 # Define the name of the Pinecone index
@@ -200,54 +200,54 @@ embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
 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
@@ -259,82 +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)