Added startup files

.gitattributes

@@ -0,0 +1 @@
+*.sqlite filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,11 @@
+FROM python:3.9
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+WORKDIR $HOME/app
+COPY --chown=user . $HOME/app
+COPY ./requirements.txt ~/app/requirements.txt
+RUN pip install -r requirements.txt
+COPY . .
+CMD ["chainlit", "run", "app.py", "--port", "7860"]

README.md

@@ -0,0 +1,14 @@
+# AI Ethics Bot 🚀🤖
+
+Hello visitor! I'm a helpful bot designed to calm your anxieties about AI Safety. I understand that you may be concerned about the implications of AI. Perhaps you're looking for help about how to build etical and safe AI systems. 
+
+Have no fear! Various organizations have put a lot of thought into this. Some useful links below:
+
+- [Blueprint for an AI Bill of Rights](https://www.whitehouse.gov/wp-content/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdf): A document published by the White House's Office of Science and Technology Policy
+- [NIST AI Risk Management Framework](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf): A framework for managing risk in AI systems published by the National Institute of Standards and Technology. 
+
+I've indexed these documents and am ready to answer any questions you may have.
+
+To begin, install dependencies as: `pip install -r requirements.txt`
+
+Thereafter run `chainlit run app.py`

ai_ethics_te3/collection/ai_ethics_te3/storage.sqlite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:950502e99e34e0a9d3fa5924a93768f0c4642d4ef834907fa632fdc5ed5f05a5
+size 4833280

ai_ethics_te3/meta.json

@@ -0,0 +1 @@
+{"collections": {"ai_ethics_te3": {"vectors": {"size": 1536, "distance": "Cosine", "hnsw_config": null, "quantization_config": null, "on_disk": null, "datatype": null, "multivector_config": null}, "shard_number": null, "sharding_method": null, "replication_factor": null, "write_consistency_factor": null, "on_disk_payload": null, "hnsw_config": null, "wal_config": null, "optimizers_config": null, "init_from": null, "quantization_config": null, "sparse_vectors": null}}, "aliases": {}}

app.py

@@ -0,0 +1,88 @@
+import tiktoken
+import os
+from qdrant_client import QdrantClient
+from langchain_qdrant import QdrantVectorStore
+from qdrant_client.http.models import Distance, VectorParams
+from typing import List
+from chainlit.types import AskFileResponse
+from langchain_text_splitters import RecursiveCharacterTextSplitter
+from langchain_community.document_loaders import PyMuPDFLoader
+from langchain_community.vectorstores import Qdrant
+from langchain_openai.llms import OpenAI
+from langchain_openai.chat_models import ChatOpenAI
+from langchain_openai.embeddings import OpenAIEmbeddings
+from langchain.chains.summarize import load_summarize_chain
+from langchain.chains.conversation.memory import ConversationSummaryBufferMemory
+from langchain.chains.conversation.base import ConversationChain
+from langchain_core.runnables import RunnableParallel, RunnablePassthrough
+from langchain_core.messages import SystemMessage, AIMessage, HumanMessage
+from langchain_core.prompts import (ChatMessagePromptTemplate, SystemMessagePromptTemplate, 
+                                    AIMessagePromptTemplate, HumanMessagePromptTemplate)
+from langchain_community.chat_message_histories import ChatMessageHistory
+from langchain_core.chat_history import BaseChatMessageHistory
+from langchain_core.runnables.history import RunnableWithMessageHistory
+from langchain_core.prompts.chat import ChatPromptTemplate, MessagesPlaceholder
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain.output_parsers import PydanticOutputParser
+from langchain.output_parsers import OutputFixingParser
+import chainlit as cl
+
+from dotenv import load_dotenv; _ = load_dotenv()
+
+RAG_PROMPT = """
+Please answer the question below using the provided context. If the question cannnot be answered
+using the context, politely state that you can't answer that question.
+
+Question:
+{question}
+
+Context:
+{context}
+"""
+
+def get_rag_chain():
+    """Fetches a simple RAG chain"""
+    prompt = ChatPromptTemplate.from_template(RAG_PROMPT)
+    embedding = OpenAIEmbeddings(model='text-embedding-3-small')
+    retriever = QdrantVectorStore.from_existing_collection(
+        collection_name='ai_ethics_te3_small',
+        embedding=embedding,
+        url=os.environ.get('QDRANT_DB'),
+        api_key=os.environ.get('QDRANT_API_KEY')
+    ).as_retriever()
+    llm = ChatOpenAI(model='gpt-4o', temperature=0)
+    rag_chain = ({'context': retriever, 'question': RunnablePassthrough()}
+             | prompt
+             | llm)
+    return rag_chain
+
+
+@cl.on_chat_start
+async def on_chat_start():
+    """Initialization of the application"""
+    msg = cl.Message(
+        content="", disable_human_feedback=True
+    )
+    await msg.send()
+    chain = get_rag_chain()
+    # Let the user know that the system is ready
+    msg.content = """
+    I'm ready to answer any of your questions about the framework for [AI Bill of Rights](https://www.whitehouse.gov/wp-content/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdf)
+    and [NIST AI Risk Management Framework](https://www.whitehouse.gov/wp-content/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdf)
+    Ask away!
+    """
+    await msg.update()
+
+    cl.user_session.set("chain", chain)
+
+
+@cl.on_message
+async def main(message):
+    """Run on every user message"""
+    chain = cl.user_session.get("chain")
+
+    msg = cl.Message(content="")
+    async for resp in chain.astream(message.content):
+        await msg.stream_token(resp.content)
+
+    await msg.send()

chainlit.md

@@ -0,0 +1,10 @@
+# AI Ethics Bot 🚀🤖
+
+Hello visitor! I'm a helpful bot designed to calm your anxieties about AI Safety. I understand that you may be concerned about the implications of AI. Perhaps you're looking for help about how to build etical and safe AI systems. 
+
+Have no fear! Various organizations have put a lot of thought into this. Some useful links below:
+
+- [Blueprint for an AI Bill of Rights](https://www.whitehouse.gov/wp-content/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdf): A document published by the White House's Office of Science and Technology Policy
+- [NIST AI Risk Management Framework](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf): A framework for managing risk in AI systems published by the National Institute of Standards and Technology. 
+
+I've indexed these documents and am ready to answer any questions you may have.

requirements.txt

@@ -0,0 +1,10 @@
+tiktoken
+numpy
+chainlit==0.7.700
+openai
+langchain
+langchain-core
+langchain-community
+langchain-openai
+langchain-qdrant
+langchain-huggingface