Update app.py

app.py

@@ -6,7 +6,6 @@ from langchain_core.output_parsers import StrOutputParser
 from langchain.chat_models import ChatOpenAI
 from fpdf import FPDF
 import os
-import pandas as pd
 
 # Set up Streamlit UI
 st.title('Educational Assistant')
@@ -148,21 +147,9 @@ if openai_api_key:
         study_plan_response = chain_4.invoke({'data': data})
         st.write(study_plan_response)
         
-        # Extract the study plan and convert it into a structured format
-        study_plan = study_plan_response.strip().split("\n")
-        
-        # Assuming the study plan is a list of 7 days with topics
-        days = ["Day 1", "Day 2", "Day 3", "Day 4", "Day 5", "Day 6", "Day 7"]
-        topics = [plan.split(":")[1].strip() if ":" in plan else "" for plan in study_plan]
-
-        # Create a DataFrame to display the study plan in tabular form
-        study_plan_df = pd.DataFrame(list(zip(days, topics)), columns=["Day", "Topics to Study"])
-        
-        st.table(study_plan_df)
-
         # Generate PDF for the study plan and offer it as a download
         pdf_filename = generate_pdf(study_plan_response, filename="study_plan_response.pdf")
         st.download_button("Download Study Plan as PDF", data=open(pdf_filename, "rb").read(), file_name=pdf_filename, mime="application/pdf")
 
 else:
-    st.sidebar.warning("Please enter your OpenAI API Key to proceed.")
+    st.sidebar.warning("Please enter your OpenAI API Key to proceed.")