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Update app.py
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app.py
CHANGED
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@@ -14,6 +14,7 @@ from langchain.chains.combine_documents import create_stuff_documents_chain
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_openai import OpenAIEmbeddings, ChatOpenAI
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import faiss
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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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@@ -35,6 +36,11 @@ if uploaded_file:
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st.write("Preview of uploaded data:")
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st.dataframe(data)
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# Tabs for LangChain and LlamaIndex
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tab1, tab2 = st.tabs(["LangChain", "LlamaIndex"])
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@@ -42,8 +48,8 @@ if uploaded_file:
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with tab1:
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st.subheader("LangChain Query")
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try:
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# Use CSVLoader with the
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loader = CSVLoader(
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docs = loader.load_and_split()
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# Preview the first document chunk
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@@ -86,9 +92,9 @@ if uploaded_file:
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with tab2:
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st.subheader("LlamaIndex Query")
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try:
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# Use PagedCSVReader directly on the uploaded
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csv_reader = PagedCSVReader()
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docs = csv_reader.
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# Preview the first document chunk
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if docs:
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@@ -114,6 +120,10 @@ if uploaded_file:
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st.write(f"Answer: {response.response}")
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except Exception as e:
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st.error(f"Error processing with LlamaIndex: {e}")
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except Exception as e:
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st.error(f"Error reading uploaded file: {e}")
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_openai import OpenAIEmbeddings, ChatOpenAI
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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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st.write("Preview of uploaded data:")
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st.dataframe(data)
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# Save the uploaded file to a temporary location
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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(temp_file_path, index=False)
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# Tabs for LangChain and LlamaIndex
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tab1, tab2 = st.tabs(["LangChain", "LlamaIndex"])
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with tab1:
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st.subheader("LangChain Query")
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try:
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# Use CSVLoader with the temporary file path
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loader = CSVLoader(file_path=temp_file_path)
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docs = loader.load_and_split()
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# Preview the first document chunk
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with tab2:
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st.subheader("LlamaIndex Query")
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try:
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# Use PagedCSVReader directly on the uploaded file
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csv_reader = PagedCSVReader()
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docs = csv_reader.load_from_file(temp_file_path)
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# Preview the first document chunk
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if docs:
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st.write(f"Answer: {response.response}")
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except Exception as e:
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st.error(f"Error processing with LlamaIndex: {e}")
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finally:
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# Clean up the temporary file
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if 'temp_file_path' in locals() and os.path.exists(temp_file_path):
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os.remove(temp_file_path)
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except Exception as e:
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st.error(f"Error reading uploaded file: {e}")
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