app.py

app.py

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+import streamlit as st
+import pandas as pd
+import pandasai
+from pandasai.llm import OpenAI
+import os
+from pandasai import SmartDataframe
+
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env
+load_dotenv()
+
+st.image("/Users/shaikmujeeburrahman/Downloads/Odinschool.jpg")
+
+st.title("Odinschool's Data Analysis App")
+st.subheader("Created by Mujeeb")
+file=st.file_uploader("Upload a CSV for data analysis")
+if file is not None:
+    df=pd.read_csv(file)
+    st.write(df.head(5))
+
+
+    query=st.text_area("What do you want to know from the csv file?")  
+
+    
+    llm = OpenAI(api_token=os.getenv("API_KEY"))
+    df=SmartDataframe(df,config={"llm":llm})
+    if st.button("Fetch"):
+        if query:
+            with st.spinner("Fecthing info"):
+                st.write(df.chat(query))
+
+        else:
+            st.warning("please enter your query")
+