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e130812
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Update lab/interim.py

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  1. lab/interim.py +13 -13
lab/interim.py CHANGED
@@ -128,8 +128,8 @@ if "df" in st.session_state and llm:
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  chat_df = SmartDataframe(df, config={"llm": llm})
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  # Chat functionality
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- st.write("### Chat with Your Patent Data")
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- user_query = st.text_input("Enter your question about the patent data (e.g., 'Predict if the patent will be accepted.'):")
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  if user_query:
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  try:
@@ -140,7 +140,7 @@ if "df" in st.session_state and llm:
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  # Plot generation functionality
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  st.write("### Generate and View Graphs")
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- plot_query = st.text_input("Enter a query to generate a graph (e.g., 'Plot the number of patents by filing year.'):")
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  if plot_query:
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  try:
@@ -157,17 +157,17 @@ if "df" in st.session_state and llm:
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  st.error(f"Error: {e}")
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  # Download processed dataset
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- st.write("### Download Processed Dataset")
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- st.download_button(
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- label="Download Dataset as CSV",
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- data=df.to_csv(index=False),
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- file_name="processed_dataset.csv",
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- mime="text/csv"
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- )
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  # Sidebar instructions
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  with st.sidebar:
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- st.header("Instructions:")
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  st.markdown(
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  "1. Choose an LLM (Groq-based or OpenAI-based) to interact with the data.\n"
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  "2. Upload, select, or fetch the dataset using the provided options.\n"
@@ -177,7 +177,7 @@ with st.sidebar:
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  " - Example: 'Summarize the abstract of this patent.'\n"
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  )
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  st.markdown("---")
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- st.header("References:")
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  st.markdown(
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  "1. [Chat With Your CSV File With PandasAI - Prince Krampah](https://medium.com/aimonks/chat-with-your-csv-file-with-pandasai-22232a13c7b7)"
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- )
 
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  chat_df = SmartDataframe(df, config={"llm": llm})
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  # Chat functionality
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+ st.write("### Chat with Patent Data")
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+ user_query = st.text_input("Enter your question about the patent data:", value = "Have the patents with the numbers 14908945, 14994130, 14909084, and 14995057 been accepted or rejected? What are their titles?")
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  if user_query:
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  try:
 
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  # Plot generation functionality
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  st.write("### Generate and View Graphs")
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+ plot_query = st.text_input("Enter a query to generate a graph:", value = "What is the distribution of patents categorized as 'ACCEPTED', 'REJECTED', or 'PENDING'?")
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  if plot_query:
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  try:
 
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  st.error(f"Error: {e}")
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  # Download processed dataset
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+ #st.write("### Download Processed Dataset")
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+ #st.download_button(
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+ # label="Download Dataset as CSV",
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+ # data=df.to_csv(index=False),
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+ # file_name="processed_dataset.csv",
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+ # mime="text/csv"
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+ #)
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  # Sidebar instructions
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  with st.sidebar:
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+ st.header("πŸ“‹ Instructions:")
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  st.markdown(
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  "1. Choose an LLM (Groq-based or OpenAI-based) to interact with the data.\n"
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  "2. Upload, select, or fetch the dataset using the provided options.\n"
 
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  " - Example: 'Summarize the abstract of this patent.'\n"
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  )
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  st.markdown("---")
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+ st.header("πŸ“š References:")
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  st.markdown(
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  "1. [Chat With Your CSV File With PandasAI - Prince Krampah](https://medium.com/aimonks/chat-with-your-csv-file-with-pandasai-22232a13c7b7)"
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+ )