Delete app.py

app.py

@@ -1,56 +0,0 @@
-from tempfile import NamedTemporaryFile
-from langchain.agents import create_csv_agent
-from langchain.llms import OpenAI
-from dotenv import load_dotenv
-import os
-import streamlit as st
-import pandas as pd
-
-def main():
-    load_dotenv()
-
-    # Load the OpenAI API key from the environment variable
-    api_key = os.getenv("OPENAI_API_KEY")
-    if api_key is None or api_key == "":
-        st.error("OPENAI_API_KEY is not set")
-        return
-
-    st.set_page_config(page_title="Insightly")
-    st.sidebar.image("/home/oem/Downloads/insightly_wbg.png", use_column_width=True)
-    st.header("Data Analysis 📈")
-
-    csv_files = st.file_uploader("Upload CSV files", type="csv", accept_multiple_files=True)
-    if csv_files:
-        llm = OpenAI(temperature=0)
-        user_input = st.text_input("Question here:")
-
-        # Iterate over each CSV file
-        for csv_file in csv_files:
-            with NamedTemporaryFile(delete=False) as f:
-                f.write(csv_file.getvalue())
-                f.flush()
-                df = pd.read_csv(f.name)
-
-                # Perform any necessary data preprocessing or feature engineering here
-                # You can modify the code based on your specific requirements
-
-                # Example: Accessing columns from the DataFrame
-                # column_data = df["column_name"]
-
-                # Example: Applying transformations or calculations to the data
-                # transformed_data = column_data.apply(lambda x: x * 2)
-
-                # Example: Using the preprocessed data with the OpenAI API
-                # llm_response = llm.predict(transformed_data)
-
-                if user_input:
-                    # Pass the user input to the OpenAI agent for processing
-                    agent = create_csv_agent(llm, f.name, verbose=True)
-                    response = agent.run(user_input)
-
-                    st.write(f"CSV File: {csv_file.name}")
-                    st.write("Response:")
-                    st.write(response)
-
-if __name__ == "__main__":
-    main()