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Update app.py
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app.py
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@@ -1,6 +1,7 @@
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import streamlit as st
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import pandas as pd
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import os
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from llama_index.readers.file.paged_csv.base import PagedCSVReader
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from llama_index.core import Settings, VectorStoreIndex
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from llama_index.llms.openai import OpenAI
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@@ -17,6 +18,7 @@ import faiss
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import tempfile
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# Load environment variables
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os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
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# Global settings for LlamaIndex
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st.write("Preview of uploaded data:")
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st.dataframe(data)
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#
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with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode="w") as temp_file:
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temp_file_path = temp_file.name
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data.to_csv(
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# Tabs for LangChain and LlamaIndex
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tab1, tab2 = st.tabs(["LangChain", "LlamaIndex"])
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import streamlit as st
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import pandas as pd
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import os
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from dotenv import load_dotenv
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from llama_index.readers.file.paged_csv.base import PagedCSVReader
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from llama_index.core import Settings, VectorStoreIndex
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from llama_index.llms.openai import OpenAI
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import tempfile
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# Load environment variables
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load_dotenv()
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os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
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# Global settings for LlamaIndex
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st.write("Preview of uploaded data:")
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st.dataframe(data)
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# Clean and save the file to a temporary location
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with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode="w", encoding="utf-8") as temp_file:
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temp_file_path = temp_file.name
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data.to_csv(temp_file.name, index=False, encoding="utf-8")
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temp_file.flush() # Ensure data is written
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# Tabs for LangChain and LlamaIndex
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tab1, tab2 = st.tabs(["LangChain", "LlamaIndex"])
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