Update app.py

app.py

@@ -7,10 +7,11 @@ from langchain_core.output_parsers import StrOutputParser
 from langchain.chat_models import ChatOpenAI
 from fpdf import FPDF
 import os
+from datetime import datetime, timedelta
 
 # Set up Streamlit UI
 st.title('Educational Assistant')
-st.header('Summary, Quiz Generator, and Q&A')
+st.header('Summary, Quiz Generator, Q&A, and Topics to be Covered')
 st.sidebar.title('Drop your PDF here')
 
 # Input OpenAI API key from keyboard
@@ -18,8 +19,8 @@ openai_api_key = st.sidebar.text_input("Enter your OpenAI API Key", type="passwo
 
 user_file_upload = st.sidebar.file_uploader(label='', type='pdf')
 
-# Sidebar option selection for Summary, Quiz, or Q&A
-option = st.sidebar.radio("Choose an option", ('Generate Summary', 'Generate Quiz', 'Ask a Question'))
+# Sidebar option selection for Summary, Quiz, Q&A, or Topics to be Covered
+option = st.sidebar.radio("Choose an option", ('Generate Summary', 'Generate Quiz', 'Ask a Question', 'Topics to be Covered'))
 
 # Input for asking questions (only visible when "Ask a Question" is selected)
 question_input = None
@@ -99,6 +100,19 @@ if openai_api_key:
         output_parser = StrOutputParser()
         chain_3 = prompt_3 | llm_qa | output_parser
 
+        ## Prompt Template for Topics to be Covered
+        prompt_4 = ChatPromptTemplate.from_messages(
+            [
+                ("system", "You are a smart assistant. Analyze the user's PDF and generate 7 topics based on the content for the next 7 days. Be polite."),
+                ("user", "{data}")
+            ]
+        )
+
+        # Pass the OpenAI API key explicitly to the ChatOpenAI instance
+        llm_topics = ChatOpenAI(model="gpt-4o-mini", openai_api_key=openai_api_key)  # Pass the key here
+        output_parser = StrOutputParser()
+        chain_4 = prompt_4 | llm_topics | output_parser
+
     if option == 'Generate Summary':
         # Generate summary
         summary_response = chain_1.invoke({'data': data})
@@ -129,5 +143,24 @@ if openai_api_key:
             # Generate PDF for the question answer and offer it as a download
             pdf_filename = generate_pdf(question_answer_response, filename="question_answer_response.pdf")
             st.download_button("Download Answer as PDF", data=open(pdf_filename, "rb").read(), file_name=pdf_filename, mime="application/pdf")
+
+    elif option == 'Topics to be Covered':
+        # Generate topics for the next 7 days
+        topics_response = chain_4.invoke({'data': data})
+        topics = topics_response.split("\n")  # Split response into topics
+
+        # Get today's date and create a table for the topics for the next 7 days
+        start_date = datetime.today()
+        table_data = []
+
+        for i in range(7):
+            day_date = start_date + timedelta(days=i)
+            topic = topics[i] if i < len(topics) else "Topic not available"
+            table_data.append([day_date.strftime("%dth %b %Y"), topic])
+
+        # Display the topics table
+        st.write("### Topics to be Covered in the Next 7 Days")
+        st.table(table_data)
+        
 else:
-    st.sidebar.warning("Please enter your OpenAI API Key to proceed.")
+    st.sidebar.warning("Please enter your OpenAI API Key to proceed.")