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Update app.py
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app.py
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@@ -1,7 +1,7 @@
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import streamlit as st
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import pandas as pd
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import logging
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-
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from llama_index.core.query_engine import PandasQueryEngine
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from llama_index.llms.anthropic import Anthropic
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@@ -9,20 +9,20 @@ logging.basicConfig(level=logging.INFO)
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def main():
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st.title('CSV Data Query Tool')
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# Upload CSV file
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uploaded_file = st.file_uploader("Upload CSV file", type=['csv'])
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if uploaded_file is not None:
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df = pd.read_csv(uploaded_file)
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# Input API Key
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api_key = st.text_input("Enter your ANTHROPIC_API_KEY:")
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# Initialize Anthropic
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if api_key:
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llm = Anthropic(temperature=0.0, model='claude-3-opus-20240229', api_key=api_key)
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query_engine = PandasQueryEngine(df=df, llm=llm, verbose=True)
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# Input user question
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question = st.text_input("Ask a question about the data:")
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if st.button("Submit"):
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@@ -30,5 +30,10 @@ def main():
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response = query_engine.query(question)
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st.markdown(f"**Response:** {response}")
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if __name__ == "__main__":
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main()
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import streamlit as st
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import pandas as pd
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import logging
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from IPython.display import Markdown, display
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from llama_index.core.query_engine import PandasQueryEngine
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from llama_index.llms.anthropic import Anthropic
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def main():
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st.title('CSV Data Query Tool')
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+
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# Upload CSV file
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uploaded_file = st.file_uploader("Upload CSV file", type=['csv'])
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if uploaded_file is not None:
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df = pd.read_csv(uploaded_file)
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# Input API Key
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api_key = st.text_input("Enter your ANTHROPIC_API_KEY:")
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# Initialize Anthropic
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if api_key:
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llm = Anthropic(temperature=0.0, model='claude-3-opus-20240229', api_key=api_key)
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query_engine = PandasQueryEngine(df=df, llm=llm, verbose=True)
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# Input user question
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question = st.text_input("Ask a question about the data:")
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if st.button("Submit"):
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response = query_engine.query(question)
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st.markdown(f"**Response:** {response}")
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# Clear input fields
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if st.button("Clear"):
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st.text_input("Enter your ANTHROPIC_API_KEY:", value='')
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st.text_input("Ask a question about the data:", value='')
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if __name__ == "__main__":
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main()
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