Spaces:
Sleeping
Sleeping
File size: 20,963 Bytes
256d47f faeba56 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 256d47f 64b1440 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 |
import json
import base64
import os
import re
import streamlit as st
from langchain.llms import OpenAI
from langchain import PromptTemplate
from langchain.chains import LLMChain
from langchain.llms import OpenAI
from PyPDF2 import PdfReader
import streamlit as st
from streamlit_option_menu import option_menu
from langchain.text_splitter import CharacterTextSplitter
from langchain_community.vectorstores import Chroma
from langchain_community.embeddings import OpenAIEmbeddings
import pandas as pd
from textwrap import dedent
from streamlit_oauth import OAuth2Component
openai_api_key = os.environ.get('OPENAI_API_KEY')
CLIENT_ID = os.environ.get("CLIENT_ID")
CLIENT_SECRET = os.environ.get("CLIENT_SECRET")
REDIRECT_URI = os.environ.get("REDIRECT_URI")
# Initialize session states
if "generated" not in st.session_state:
st.session_state["generated"] = []
if "past" not in st.session_state:
st.session_state["past"] = []
if "input" not in st.session_state:
st.session_state["input"] = ""
if "vectorstore" not in st.session_state:
st.session_state["vectorstore"] = None
if "rfp_details" not in st.session_state:
st.session_state["rfp_details"] = ""
if "is_data_processed" not in st.session_state:
st.session_state["is_data_processed"] = False
if "user_stories" not in st.session_state:
st.session_state["user_stories"] = ""
if "user_stories_json" not in st.session_state:
st.session_state["user_stories_json"] = []
if "is_user_stories_created" not in st.session_state:
st.session_state["is_user_stories_created"] = False
if "rfp_summary" not in st.session_state:
st.session_state["rfp_summary"] = ""
bot_template = """As a highly intelligent and powerful chatbot, your personality is a business analyst's responsibility.
Your designated name is RFP Bot. Initiate the conversation with a warm greeting only when the user asks something for the first time. Subsequent interactions can skip the greeting.
Your generated responses should be comprehensive, utilizing pointers when necessary for an enhanced user experience. Provide detailed answers, and if the user's input isn't related to personality, respond politely with an apology, encouraging them to ask questions related to your established personality. Keep your responses concise and accurate, seeking additional information from the user when required.
Incorporate the provided context and any relevant information from the chat history into your responses. If the user's input is related to the context or question, articulate your answer accordingly.
{context}
Human: {input}
Assistant:"""
# user_story_template = """Given the project details with the following parameters:
# **Project Name:** {project_name}
# **RFP details:**
# {rfp_details}
# As a business analyst, analyze the given RFP details to delineate epics for the project. Break down the epics into features and features into individual requirements, adhering to the agile software development INVEST principles. Subsequently, generate user stories for each requirement. Ensure each story follows the "As a, I want to, So that" format and strictly avoid combining stories together.
# **Examples**
# 1. Epic: User Authentication and Account Security Enhancements
# 1. Feature 1: User Registration
# - Story 1:
# - As a user, I want to provide my basic information, such as name and email address during sign-up, so that the platform can create a personalized account for me.
# - Story 2:
# - As a user, I want the sign-up form to include a CAPTCHA verification step, so that the system can prevent automated bots from creating fake accounts.
# - Story 3:
# - As a user, I want the sign-up form to include optional fields for additional profile information, so that I can customize my account based on my interests.
# - Story 4:
# - As a user, I want the platform to clearly communicate its data usage and privacy policy during the sign-up process, so that I can make an informed decision before creating an account.
# 2. Feature 2: User Authentication
# - Story 1:
# - As a registered user, I want to log in securely with my credentials, so that I can access personalized account information.
# - Story 2:
# - As a registered user, I want the login page to feature a "Forgot Password" link, so that I can easily initiate the password recovery process if needed.
# - Story 3:
# - As a user concerned about account security, I want the platform to send a notification email whenever my account is accessed from a new device, so that I can be aware of any potential unauthorized access.
# - Story 4:
# - As a returning user, I want the option to enable two-factor authentication (2FA) for an extra layer of security during the login process, so that my account remains protected.
# - Story 5:
# - As a user striving for a seamless experience, I want the platform to offer a "Stay Logged In" option during login, so that I don't have to enter my credentials every time I revisit the site.
# - Story 6:
# - As a user with multiple devices, I want the ability to log out remotely from any active sessions through the account settings, so that I can maintain control over my account access.
# 3. Feature 3: Account Security Enhancements
# - Story 1:
# - As a security-conscious user, I want the platform to regularly prompt me to update my password and provide guidance on creating a secure password to enhance the overall security of my account.
# - Story 2:
# - As a user who values privacy, I want the platform to automatically log me out after a period of inactivity, ensuring that my account is secure even if I forget to log out manually.
# - Story 3:
# - As a user concerned about account recovery, I want the platform to offer multiple secure account recovery options, such as email verification and phone number verification, to ensure I can regain access to my account if needed.
# """
user_story_template = """Given the project details with the following parameters:
**Project Name:** {project_name}
**RFP details:**
{rfp_details}
As a business analyst, analyze the given RFP details to delineate epics for the project. Break down the epics into features and features into individual requirements, adhering to the agile software development INVEST principles (where I refers to Independent (not dependent on other work deliverables), N refers to Negotiable (allows for best practices), V refers to valuable (provides working functionality), E refers to Estimable (allows clear work estimates), S refers to Small (sized for the team's sprint), T refers to Testable (can be measured to ensure it meets customer expectations)). Subsequently, generate user stories for each requirement. Ensure each story follows the "As a, I want to, So that" format and strictly avoid combining stories together.
**Examples**
1. Epic: User Authentication and Account Security Enhancements
1. Feature 1: User Registration
- Story 1:
- As a user, I want to provide my basic information, such as name and email address during sign-up, so that the platform can create a personalized account for me.
- Story 2:
- As a user, I want the sign-up form to include a CAPTCHA verification step, so that the system can prevent automated bots from creating fake accounts.
- Story 3:
- As a user, I want the sign-up form to include optional fields for additional profile information, so that I can customize my account based on my interests.
- Story 4:
- As a user, I want the platform to clearly communicate its data usage and privacy policy during the sign-up process, so that I can make an informed decision before creating an account.
2. Feature 2: User Authentication
- Story 1:
- As a registered user, I want to log in securely with my credentials, so that I can access personalized account information.
- Story 2:
- As a registered user, I want the login page to feature a "Forgot Password" link, so that I can easily initiate the password recovery process if needed.
- Story 3:
- As a user concerned about account security, I want the platform to send a notification email whenever my account is accessed from a new device, so that I can be aware of any potential unauthorized access.
- Story 4:
- As a returning user, I want the option to enable two-factor authentication (2FA) for an extra layer of security during the login process, so that my account remains protected.
- Story 5:
- As a user striving for a seamless experience, I want the platform to offer a "Stay Logged In" option during login, so that I don't have to enter my credentials every time I revisit the site.
- Story 6:
- As a user with multiple devices, I want the ability to log out remotely from any active sessions through the account settings, so that I can maintain control over my account access.
3. Feature 3: Account Security Enhancements
- Story 1:
- As a security-conscious user, I want the platform to prompt me every 15 days to update my password and provide guidance on creating a secure password to enhance the overall security of my account.
- Story 2:
- As a user who values privacy, I want the platform to automatically log me out after 5 minutes of inactivity, ensuring that my account is secure even if I forget to log out manually.
- Story 3:
- As a user concerned about account recovery, I want the platform to offer email verification and phone number verification account recovery options, to ensure I can regain access to my account if needed.
"""
summary_template = """Given the project details with the following parameters:
**Project Name:** {project_name}
**RFP details:**
{rfp_details}
As a business analyst, analyze the given RFP details and give the detailed summary of the project.
"""
convert_json_template = """
Given the project user stories:
**user_stories:** {user_stories}
Create a JSON representation that captures the structure and details of each epic and feature, including their respective stories. Ensure that the JSON format is well-organized, with clear hierarchies for epic,features and stories.
Example structure:
{json_structure}
"""
json_structure = {
"epics": [
{
"name": "App Performance and Efficiency",
"features": [
{
"name": "Fast and Zero Load Time",
"stories": [
{
"name": "Story 1",
"description": "As a user, I want the app to load quickly with zero load time, so that I can access news content efficiently."
},
{
"name": "Story 2",
"description": "As a user, I want the installation process of the mobile app to be quick and hassle-free, so that I can start using the app immediately after download without any complications."
}
]
}
]
}
]
}
#function to create a new rfp and clear the existing rfp data
def clear_rfp_data():
st.session_state.clear()
#function to logout user from app
def log_out_user():
st.session_state.clear()
st.rerun()
#function to validate the email
def validate_email(email):
# Define the pattern for the company email
pattern = r'^[a-zA-Z]+@coffeebeans\.io$'
# Use the re.match function to check if the email matches the pattern
match = re.match(pattern, email)
# Return True if there is a match, indicating a valid email
return match is not None
# rfp summary creater
summary_prompt = PromptTemplate(
input_variables=["project_name", "rfp_details"],
template=summary_template
)
summary_chain = LLMChain(
llm=OpenAI(model_name='gpt-3.5-turbo-16k', temperature=0.7,
api_key= openai_api_key),
prompt=summary_prompt,
verbose="true",
)
# process rfp data from pdf file
def process_rfp_data(project_name, file):
if project_name and file:
loader = PdfReader(file)
for i, page in enumerate(loader.pages):
content = page.extract_text()
if content:
temp = st.session_state["rfp_details"]
st.session_state["rfp_details"] = temp+content
text_splitter = CharacterTextSplitter(
separator='\n', chunk_size=1000, chunk_overlap=150, length_function=len)
texts = text_splitter.split_text(
st.session_state["rfp_details"])
st.session_state["vectorstore"] = Chroma().from_texts(texts, embedding=OpenAIEmbeddings(
openai_api_key=openai_api_key))
st.session_state.project_name = project_name
st.session_state["rfp_summary"] = summary_chain.run(
{"project_name": st.session_state["project_name"], "rfp_details": st.session_state["rfp_details"]})
st.session_state["is_data_processed"] = True
st.success('data processed sucessfully')
# genrate bot conversastion
bot_prompt = PromptTemplate(
input_variables=["context", "input"],
template=bot_template
)
bot_chain = LLMChain(
llm=OpenAI(model_name='gpt-3.5-turbo-16k', temperature=0.7,
api_key= openai_api_key),
prompt=bot_prompt,
verbose="true",
)
def genrate_bot_result():
if len(st.session_state["input"]) > 0:
db = st.session_state["vectorstore"]
context = db.similarity_search(st.session_state["input"])
inputs = {
"context": context[0].page_content,
"input": st.session_state["input"]
}
output = bot_chain.run(inputs)
st.session_state.past.append(st.session_state["input"])
st.session_state.generated.append(output)
st.session_state["input"] = ""
# genrate user stories user_story_template = """
user_story_prompt = PromptTemplate(
input_variables=["project_name", "rfp_details"],
template=user_story_template
)
user_story_chain = LLMChain(
llm=OpenAI(model_name='gpt-3.5-turbo-16k', temperature=0.7,
api_key= openai_api_key),
prompt=user_story_prompt,
verbose="true",
)
# prompt template for json
json_prompt_template = PromptTemplate(
input_variables=["user_stories", "json_structure"],
template=convert_json_template
)
json_chain = LLMChain(
llm=OpenAI(model_name='gpt-3.5-turbo-16k', temperature=0.7,
api_key= openai_api_key),
prompt=json_prompt_template,
verbose="true",
)
def genrate_user_stories():
output = user_story_chain.run(
{"project_name": st.session_state["project_name"], "rfp_details": st.session_state["rfp_details"]})
st.session_state["user_stories"] = output
json_response = json_chain.run(
{"user_stories": st.session_state["user_stories"], "json_structure": json_structure})
user_stories_data = json.loads(json_response)
for epic_data in user_stories_data['epics']:
epic = epic_data["name"]
for feature_data in epic_data['features']:
feature = feature_data["name"]
for story in feature_data["stories"]:
st.session_state.user_stories_json.append(
{"epic": epic, "Feature": feature, "Story Description": story["description"]})
st.session_state["is_user_stories_created"] = True
def genrate_technical_stories():
print('genrate technical stories calling')
def export_stories():
data_df = pd.DataFrame(st.session_state["user_stories_json"])
csv_data = data_df.to_csv(index=False)
b64 = base64.b64encode(csv_data.encode()).decode()
href = f'<a href="data:file/csv;base64,{b64}" download="data.csv">Download CSV File</a>'
st.markdown(href, unsafe_allow_html=True)
print('generate technical stories calling')
def main():
if "input" not in st.session_state:
st.session_state["input"] = ""
with st.sidebar:
menu_choice = option_menu(menu_title="RFPStoryCraft", options=[
'Home', 'RFP Bot', 'User Stories', "Summary"], icons=['house','list-task', 'book', 'book'])
if st.session_state["is_data_processed"] == True:
st.button('Clear RFP Data', on_click=clear_rfp_data)
if "auth" in st.session_state:
st.button('Log out', on_click=log_out_user)
if menu_choice == 'Home':
with st.form("my_form"):
project_name = st.text_input('Project Name', key='Project Name',
type="default", placeholder='Project Name')
file = st.file_uploader('Document', type='pdf')
submitted = st.form_submit_button("Process Data")
if submitted:
if project_name and file:
process_rfp_data(project_name, file)
else:
st.warning(
'project_name and file are required to create create stories', icon="⚠️")
if menu_choice == 'RFP Bot':
if st.session_state["is_data_processed"] == True:
st.title(" RFP Chatbot ")
st.subheader(" Powered by Coffeebeans")
st.text_input("You: ", st.session_state["input"], key="input",
placeholder="Your AI assistant here! Ask me Queries related to RFP",
on_change=genrate_bot_result(),
label_visibility='hidden')
with st.container():
for i in range(len(st.session_state['generated'])-1, -1, -1):
st.success(st.session_state["generated"][i], icon="🤖")
st.info(st.session_state["past"][i], icon="🧐")
else:
st.warning(
'Plesase Process RFP Details to access this feature', icon="⚠️")
if menu_choice == 'User Stories':
if st.session_state["is_data_processed"] == True:
st.title("User Stories")
st.button("Genrate User Stories", type="primary",
on_click=genrate_user_stories)
if st.session_state["is_user_stories_created"] == True:
st.button("Genrate technical Stories", type="primary",
on_click=genrate_technical_stories)
st.button("Export Stories", on_click=export_stories)
with st.container():
df = pd.DataFrame(st.session_state["user_stories_json"])
st.table(df)
else:
st.warning(
'Plesase Process RFP Details to access this feature', icon="⚠️")
if menu_choice == 'Summary':
if st.session_state["is_data_processed"] == True:
st.title("Summary")
with st.container():
st.markdown(st.session_state["rfp_summary"])
else:
st.warning(
'Plesase Process RFP Details to access this feature', icon="⚠️")
if __name__ == "__main__":
if "auth" not in st.session_state:
st.title("SIGN UP TO ACCESS THE APP!")
AUTHORIZE_ENDPOINT = "https://accounts.google.com/o/oauth2/v2/auth"
TOKEN_ENDPOINT = "https://oauth2.googleapis.com/token"
REVOKE_ENDPOINT = "https://oauth2.googleapis.com/revoke"
# create a button to start the OAuth2 flow
oauth2 = OAuth2Component(
CLIENT_ID,
CLIENT_SECRET,
AUTHORIZE_ENDPOINT,
TOKEN_ENDPOINT,
TOKEN_ENDPOINT,
REVOKE_ENDPOINT,
)
result = oauth2.authorize_button(
name="Continue with Google",
icon="https://www.google.com.tw/favicon.ico",
redirect_uri="https://huggingface.co/spaces/coffeebeans-ai/rfp_to_story",
scope="openid email profile",
key="google",
height=600,
width=500,
extras_params={"prompt": "consent", "access_type": "offline"},
use_container_width=False,
pkce="S256",
)
if result:
# decode the id_token jwt and get the user's email address
id_token = result["token"]["id_token"]
# verify the signature is an optional step for security
payload = id_token.split(".")[1]
# add padding to the payload if needed
payload += "=" * (-len(payload) % 4)
payload = json.loads(base64.b64decode(payload))
email = payload["email"]
st.session_state["auth"] = email
st.session_state["token"] = result["token"]
is_valid = validate_email(st.session_state["auth"])
if is_valid:
st.rerun()
else:
st.warning("Unauthorized. you are not authorized to access this app.")
else:
main()
|