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faq.py

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+# flake8: noqa
+import streamlit as st
+
+
+def faq():
+    st.markdown(
+        """
+# FAQ
+## How does KnowledgeGPT work?
+When you upload a document, it will be divided into smaller chunks 
+and stored in a special type of database called a vector index 
+that allows for semantic search and retrieval.
+
+When you ask a question, KnowledgeGPT will search through the
+document chunks and find the most relevant ones using the vector index.
+Then, it will use GPT3 to generate a final answer.
+
+## Is my data safe?
+Yes, your data is safe. KnowledgeGPT does not store your documents or
+questions. All uploaded data is deleted after you close the browser tab.
+
+## Why does it take so long to index my document?
+If you are using a free OpenAI API key, it will take a while to index
+your document. This is because the free API key has strict [rate limits](https://platform.openai.com/docs/guides/rate-limits/overview).
+To speed up the indexing process, you can use a paid API key.
+
+## What do the numbers mean under each source?
+For a PDF document, you will see a citation number like this: 3-12. 
+The first number is the page number and the second number is 
+the chunk number on that page. For DOCS and TXT documents, 
+the first number is set to 1 and the second number is the chunk number.
+
+## Are the answers 100% accurate?
+No, the answers are not 100% accurate. KnowledgeGPT uses GPT-3 to generate
+answers. GPT-3 is a powerful language model, but it sometimes makes mistakes 
+and is prone to hallucinations. Also, KnowledgeGPT uses semantic search
+to find the most relevant chunks and does not see the entire document,
+which means that it may not be able to find all the relevant information and
+may not be able to answer all questions (especially summary-type questions
+or questions that require a lot of context from the document).
+
+But for most use cases, KnowledgeGPT is very accurate and can answer
+most questions. Always check with the sources to make sure that the answers
+are correct.
+"""
+    )

sidebar.py

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+import streamlit as st
+
+from knowledge_gpt.components.faq import faq
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+
+def sidebar():
+    with st.sidebar:
+        st.markdown(
+            "## How to use\n"
+            "1. Enter your [OpenAI API key](https://platform.openai.com/account/api-keys) below🔑\n"  # noqa: E501
+            "2. Upload a pdf, docx, or txt file📄\n"
+            "3. Ask a question about the document💬\n"
+        )
+        api_key_input = st.text_input(
+            "OpenAI API Key",
+            type="password",
+            placeholder="Paste your OpenAI API key here (sk-...)",
+            help="You can get your API key from https://platform.openai.com/account/api-keys.",  # noqa: E501
+            value=os.environ.get("OPENAI_API_KEY", None)
+            or st.session_state.get("OPENAI_API_KEY", ""),
+        )
+
+        st.session_state["OPENAI_API_KEY"] = api_key_input
+
+        st.markdown("---")
+        st.markdown("# About")
+        st.markdown(
+            "📖KnowledgeGPT allows you to ask questions about your "
+            "documents and get accurate answers with instant citations. "
+        )
+        st.markdown(
+            "This tool is a work in progress. "
+            "You can contribute to the project on [GitHub](https://github.com/mmz-001/knowledge_gpt) "  # noqa: E501
+            "with your feedback and suggestions💡"
+        )
+        st.markdown("Made by [mmz_001](https://twitter.com/mm_sasmitha)")
+        st.markdown("---")
+
+        faq()