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app.py

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+import streamlit as st
+import os
+os.environ['OPENAI_API_KEY'] = "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"
+
+from langchain.llms.openai import OpenAI
+from langchain.agents.agent_types import AgentType
+#from langchain.agents import create_csv_agent
+from langchain_experimental.agents import create_csv_agent
+import time
+
+def main():
+    st.title("Personal Assistant")
+
+    csv_file_path = "personal.csv"
+    llm = OpenAI(temperature=0)
+    agent = create_csv_agent(
+        llm,
+        csv_file_path,
+        verbose=False,
+        agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+    )
+
+    query = st.text_input("What would you like to know?")
+    if st.button("Ask"):
+        if query.strip() == "":
+            st.warning("Please enter a query.")
+        else:
+            start = time.time()
+            answer = agent.run(query)
+            end = time.time()
+            st.write(answer)
+            st.write(f"Answer (took {round(end - start, 2)} s.)")
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+langchain
+langchain_experimental
+openai
+streamlit