Spaces:
Runtime error
Runtime error
File size: 2,345 Bytes
804ba71 da67f32 562552a da67f32 562552a da67f32 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
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
def set_api_key(key):
os.environ["OPENAI_API_KEY"] = key
return f"Key Successfully Set to: {key}"
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":20,
"maximal_marginal_relevance":True,
"k":20})
# Create ChatOpenAI and ConversationalRetrievalChain
model = ChatOpenAI(model='gpt-3.5-turbo')
qa = ConversationalRetrievalChain.from_llm(model, retriever)
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", placeholder = "Please provide your OpenAI API key here")
api_submission_conf = gr.Textbox(label = "Submission Confirmation")
api_submit_button = gr.Button("Submit")
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_submission_conf)
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() |