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import openai
import random
import time
import gradio as gr
import os
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import DeepLake
from langchain.chat_models import ChatOpenAI
from langchain.chains import ConversationalRetrievalChain
from langchain.llms import OpenAI
def set_api_key(key):
os.environ["OPENAI_API_KEY"] = key
return f"Your API Key has been set to {key}"
def reset_api_key():
os.environ["OPENAI_API_KEY"] = ""
return api_key_status: gr.update(placeholder="Your API Key has been reset")
def get_api_key():
api_key = os.getenv("OPENAI_API_KEY")
return api_key
def respond(message, chat_history):
# Get embeddings
embeddings = OpenAIEmbeddings()
#Connect to existing vectorstore
db = DeepLake(dataset_path="./documentation_db", embedding_function=embeddings, read_only=True)
#Set retriever settings
retriever = db.as_retriever(search_kwargs={"distance_metric":'cos',
"fetch_k":10,
"maximal_marginal_relevance":True,
"k":10})
# Create ChatOpenAI and ConversationalRetrievalChain
model = ChatOpenAI(model='gpt-3.5-turbo')
qa = ConversationalRetrievalChain.from_llm(model, retriever, OpenAI(temperature=0))
chat_history=[]
bot_message = qa({"question": message, "chat_history": chat_history})
chat_history.append((message, bot_message['answer']))
time.sleep(1)
return "", chat_history
with gr.Blocks() as demo:
with gr.Tab("OpenAI API Key Submission"):
api_input = gr.Textbox(label = "API Key - Your key will be active for 10 minutes. The bar below shows the time left.",
placeholder = "Please provide your OpenAI API key here.")
api_key_status = gr.Textbox(label = "API Key Status",
placeholder = "Your API Key has been reset or has not be set yet. Please enter your key.",
interactive = False)
api_submit_button = gr.Button("Submit")
api_reset_button = gr.Button("Clear API Key from session")
with gr.Tab("Coding Assistant"):
api_check_button = gr.Button("Get API Key")
api_print = gr.Textbox(label = "OpenAI API Key - Please ensure the API Key is set correctly")
chatbot = gr.Chatbot(label="ChatGPT Powered Coding Assistant")
msg = gr.Textbox(label="User Prompt", placeholder="Your Query Here")
clear = gr.Button("Clear")
api_submit_button.click(set_api_key, inputs=api_input, outputs=api_key_status)
api_reset_button.click(reset_api_key, outputs=api_key_status)
api_check_button.click(get_api_key, outputs=api_print)
msg.submit(respond, [msg, chatbot], [msg, chatbot])
clear.click(lambda: None, None, chatbot, queue=False)
demo.launch() |