add option to use `togethercomputer/GPT-NeoXT-Chat-Base-20B`
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
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import os
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import streamlit as st
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from langchain.embeddings import HuggingFaceInstructEmbeddings
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@@ -7,6 +8,7 @@ from langchain.chains import VectorDBQA
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from huggingface_hub import snapshot_download
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from langchain import OpenAI
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from langchain import PromptTemplate
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BOOK_NAME = "1984"
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@@ -74,9 +76,20 @@ def load_prompt(book_name, author_name):
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@st.experimental_singleton(show_spinner=False)
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def load_chain():
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llm = OpenAI(temperature=0.2)
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chain = VectorDBQA.from_chain_type(
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chain_type_kwargs = {"prompt": load_prompt(book_name=BOOK_NAME, author_name=AUTHOR_NAME)},
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llm=llm,
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@@ -89,8 +102,8 @@ def load_chain():
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return chain
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def get_answer(question):
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chain = load_chain()
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result = chain({"query": question})
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answer = result["result"]
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@@ -124,11 +137,18 @@ def get_answer(question):
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##### sidebar ####
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with st.sidebar:
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-
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st.markdown("---")
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@@ -151,16 +171,20 @@ ask = col2.button("Ask")
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if ask:
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if api_key is "":
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st.write(f"**{BOOK_NAME}:** Whoops looks like you forgot your API key buddy")
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st.stop()
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else:
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with st.spinner("Um... excuse me but... this can take about a minute for your first question because some stuff have to be downloaded π₯Ίππ»ππ»"):
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try:
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answer, pages, extract = get_answer(question=user_input)
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except:
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-
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-
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st.write(f"**{BOOK_NAME}:** {answer}")
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import os
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from typing import Literal
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import streamlit as st
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from langchain.embeddings import HuggingFaceInstructEmbeddings
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from huggingface_hub import snapshot_download
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from langchain import OpenAI
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from langchain import PromptTemplate
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from langchain.llms import HuggingFacePipeline
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BOOK_NAME = "1984"
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@st.experimental_singleton(show_spinner=False)
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def load_chain(model: Literal["openai", "GPT-NeoXT-Chat-Base-20B"] ="openai"):
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# choose model
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if model=="openai":
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llm = OpenAI(temperature=0.2)
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if model=="GPT-NeoXT-Chat-Base-20B":
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llm = HuggingFacePipeline.from_model_id(
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model_id="togethercomputer/GPT-NeoXT-Chat-Base-20B",
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task="text-generation",
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model_kwargs={"temperature":0.2, "max_length":400}
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)
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# load chain
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chain = VectorDBQA.from_chain_type(
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chain_type_kwargs = {"prompt": load_prompt(book_name=BOOK_NAME, author_name=AUTHOR_NAME)},
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llm=llm,
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return chain
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def get_answer(question, model="openai"):
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chain = load_chain(model=model)
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result = chain({"query": question})
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answer = result["result"]
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##### sidebar ####
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with st.sidebar:
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choice= st.radio("Choose your API:",
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["OpenAI", "togethercomputer/GPT-NeoXT-Chat-Base-20B"],
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help="GPT-NeoXT-Chat-Base-20B doesn't need an API Key"
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)
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if choice == "OpenAI":
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api_key = st.text_input(label = "Paste your OpenAI API key here to get started",
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type = "password",
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help = "This isn't saved π"
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)
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os.environ["OPENAI_API_KEY"] = api_key
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st.markdown("---")
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if ask:
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if choice=="OpenAI" and api_key is "":
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st.write(f"**{BOOK_NAME}:** Whoops looks like you forgot your API key buddy")
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st.stop()
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else:
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with st.spinner("Um... excuse me but... this can take about a minute for your first question because some stuff have to be downloaded π₯Ίππ»ππ»"):
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try:
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answer, pages, extract = get_answer(question=user_input, model=choice)
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except:
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if choice=="togethercomputer/GPT-NeoXT-Chat-Base-20B":
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st.write("The model probably timed out :(")
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st.stop()
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else:
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st.write(f"**{BOOK_NAME}:** What\'s going on? That's not the right API key")
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st.stop()
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st.write(f"**{BOOK_NAME}:** {answer}")
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