Spaces:
Paused
Paused
File size: 5,879 Bytes
1b31a45 c74400e 1b31a45 cdcece5 1b31a45 c74400e 1b31a45 c74400e 1b31a45 c74400e 1b31a45 c74400e 1b31a45 c74400e 1b31a45 c74400e 1b31a45 c74400e 1b31a45 c74400e 1b31a45 a749a60 cdcece5 a749a60 c74400e cdcece5 c74400e cdcece5 c74400e |
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 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 |
import discord
import os
import json
import requests
import threading
intents = discord.Intents.default()
intents.message_content = True
bot = discord.Bot(intents = intents)
token = os.environ.get('TOKEN_DISCORD')
class Like_Dislike(discord.ui.View):
@discord.ui.button(style=discord.ButtonStyle.primary, emoji="π")
async def like_button(self, button, interaction):
await interaction.response.send_message("You liked the response")
@discord.ui.button(style=discord.ButtonStyle.primary, emoji="π")
async def dislike_button(self, button, interaction):
await interaction.response.send_message("You disliked the response")
@bot.event
async def on_ready():
print(f"{bot.user} is ready and online!")
@bot.slash_command(name="help", description="list of commands and other info.")
async def help(ctx: discord.ApplicationContext):
await ctx.respond("Hello! FURY Bot responds to all your messages\
\n1)Inside Forum channel and\
\n2)Those that tag the bot.")
def llm_output(question: str, context: str) -> str:
"""
Returns output from the LLM using the given user-question and retrived context
"""
URL_LLM = 'https://robinroy03-fury-bot.hf.space'
# URL_LLM = 'http://localhost:11434' # NOTE: FOR TESTING
prompt = f"""
You are a senior developer. Answer the users question based on the context provided.
Question: {question}
Context: {context}
"""
obj = {
'model': 'phi3',
'prompt': prompt,
'stream': False
}
response = requests.post(URL_LLM + "/api/generate", json=obj)
response_json = json.loads(response.text)
return response_json['response']
def embedding_output(message: str) -> list:
"""
Returns embeddings for the given message
rtype: list of embeddings. Length depends on the model.
"""
URL_EMBEDDING = 'https://robinroy03-fury-embeddings-endpoint.hf.space'
response = requests.post(URL_EMBEDDING + "/embedding", json={"text": message})
response_json = json.loads(response.text)
return response_json['output']
def db_output(embedding: list) -> dict:
"""
Returns the KNN results.
rtype: JSON
"""
URL_DB = 'https://robinroy03-fury-db-endpoint.hf.space'
response = requests.post(URL_DB + "/query", json={"embeddings": embedding})
response_json = json.loads(response.text)
return response_json
@bot.event
async def on_message(message):
"""
Returns llm answer with the relevant context.
"""
if (message.author == bot.user) or not(bot.user.mentioned_in(message)):
return
print(message.content)
await message.reply(content="Your message was received, it'll take around 30 seconds for FURY to process an answer.")
question = message.content.replace("<@1243428204124045385>", "")
embedding: list = embedding_output(question)
db_knn: dict = db_output(embedding)
llm_answer: str = llm_output(question, db_knn['matches'][0]['metadata']['text']) # for the highest knn result (for the test only right now) TODO: make this better
try:
await message.reply(content=llm_answer, view=Like_Dislike())
await message.reply(content=db_knn['matches'][0]['metadata']['text'])
except Exception as e: # TODO: make exception handling better
print(e)
await message.reply("An error occurred. Retry again.")
# @bot.event
# async def on_message(message):
# url_llm = 'https://robinroy03-fury-bot.hf.space'
# url_embedding = 'https://robinroy03-fury-embeddings-endpoint.hf.space'
# url_db = 'https://robinroy03-fury-db-endpoint.hf.space'
# PROMPT = """
# You are a senior developer. Answer the users question based on the context provided.
# Question: {question}
# Context: {context}
# """
# user_question = message.content.replace("<@1243428204124045385>", "")
# user_question_embedding = requests.post(url_embedding + "/embedding", json={"text": user_question})
# user_question_embedding = json.loads(user_question_embedding.text)['output']
# print(user_question_embedding)
# user_question_retrived_db_context = requests.post(url_db + "/query", json={"embeddings": user_question_embedding})
# user_question_retrived_db_context = json.loads(user_question_retrived_db_context.text)['matches'][0]['metadata']['text']
# print(user_question_retrived_db_context)
# PROMPT = PROMPT.format(question=user_question, context=user_question_retrived_db_context)
# print(PROMPT)
# obj = {
# # 'user': message.author.id,
# 'model': 'phi3',
# 'prompt': PROMPT,
# 'stream': False
# }
# if (message.author != bot.user) and (bot.user.mentioned_in(message)):
# await message.reply(content="Your message was received, it'll take around 10 seconds for FURY to process an answer.")
# try:
# return_obj = requests.post(url_llm + "/api/generate", json=obj)
# return_json = json.loads(return_obj.text)
# await message.reply(content=return_json['response'] + "\n\n" + user_question_retrived_db_context, view=Like_Dislike())
# except requests.exceptions.RequestException as e:
# print(e)
# await message.reply(content="Sorry something internally went wrong. Retry again.")
bot.run(token)
# def run_bot():
# bot.run(token)
# threading.Thread(target=run_bot).start()
# ------------------------------------------------------------------------------------------------------------------------------
# import gradio as gr
# demo = gr.Blocks()
# with demo:
# gr.HTML("The bot is working..")
# demo.queue().launch() |