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Update app.py
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app.py
CHANGED
@@ -1,3 +1,6 @@
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import os
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import streamlit as st
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from llama_index import GPTSimpleVectorIndex, SimpleDirectoryReader, ServiceContext
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@@ -5,8 +8,7 @@ from llama_index.llm_predictor.chatgpt import ChatGPTLLMPredictor
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index_name = "./index.json"
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documents_folder = "
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@st.cache_resource
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def initialize_index(index_name, documents_folder):
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@@ -28,9 +30,9 @@ def query_index(_index, query_text):
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return str(response)
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st.title("π¦ Llama Index
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st.header("Welcome to the Llama Index Streamlit
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st.write("Enter a query about
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index = None
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api_key = st.text_input("Enter your OpenAI API key here:", type="password")
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@@ -53,4 +55,4 @@ if st.button("Run Query") and text is not None:
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st.markdown(f"LLM Tokens Used: {index.service_context.llm_predictor._last_token_usage}")
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with embed_col:
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st.markdown(f"Embedding Tokens Used: {index.service_context.embed_model._last_token_usage}")
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# https://github.com/logan-markewich/llama_index_starter_pack/blob/main/streamlit_vector/streamlit_demo.py
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#
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import os
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import streamlit as st
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from llama_index import GPTSimpleVectorIndex, SimpleDirectoryReader, ServiceContext
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index_name = "./index.json"
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documents_folder = "/data/python.langchain.com/en/latest"
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@st.cache_resource
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def initialize_index(index_name, documents_folder):
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return str(response)
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st.title("π¦ Llama Index LangChain π¦")
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st.header("Welcome to the Llama Index Streamlit LangChain")
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st.write("Enter a query about LangChain python document. You can check out the latest python doc [here](https://python.langchain.com/en/latest/). Your query will be answered using the document as context, using embeddings from text-ada-002 and LLM completions from ChatGPT.")
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index = None
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api_key = st.text_input("Enter your OpenAI API key here:", type="password")
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st.markdown(f"LLM Tokens Used: {index.service_context.llm_predictor._last_token_usage}")
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with embed_col:
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st.markdown(f"Embedding Tokens Used: {index.service_context.embed_model._last_token_usage}")
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