AnnasBlackHat
commited on
Commit
•
f62b4e3
1
Parent(s):
25f1028
load all faq
Browse files- .gitignore +129 -0
- Pipfile +13 -0
- app.py +10 -0
- pages/chat_page.py +16 -0
- pages/faq_page.py +33 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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Pipfile
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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streamlit = "*"
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pymongo = {extras = ["srv"], version = "*"}
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[dev-packages]
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[requires]
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python_version = "3.12"
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app.py
ADDED
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import streamlit as st
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st.set_page_config(page_title="FAQ and Chat App")
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st.title("FAQ and Chat App")
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st.write("Welcome to the FAQ and Chat App! Navigate using the sidebar.")
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(st.page_link("pages/faq_page.py", label="FAQ"))
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(st.page_link("pages/chat_page.py", label="Chat"))
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pages/chat_page.py
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import streamlit as st
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st.title("Chat")
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# Create a placeholder for the chat history
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chat_history = st.empty()
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# Create a text input for the user's message
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user_message = st.text_input("Type your message here", "")
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# Simulate a response from the chatbot (replace this with your RAG model later)
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if user_message:
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response = f"Response: {user_message.upper()}"
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# Update the chat history placeholder
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chat_history.markdown(f"**User:** {user_message}\n\n**Bot:** {response}")
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pages/faq_page.py
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import streamlit as st
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import pandas as pd
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from pymongo import MongoClient
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#uri = "mongodb+srv://<username>:<password>@cluster0.firly.gcp.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0"
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db_user = "api-chat-faq"
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db_pass = 'WI231DhvwtTDQwBe'
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db_uri = f"mongodb+srv://{db_user}:{db_pass}@cluster0.firly.gcp.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0"
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# Connect to MongoDB
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client = MongoClient(db_uri)
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db = client["chat_support"]
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faq_collection = db["faq"]
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# Fetch FAQ data from MongoDB
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faq_data = pd.DataFrame(list(faq_collection.find()))
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st.title("Frequently Asked Questions")
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# Search functionality
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search_term = st.text_input("Search FAQs", "")
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if search_term:
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filtered_data = faq_data[faq_data['questions'].apply(lambda x: any(search_term.lower() in q.lower() for q in x))]
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else:
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filtered_data = faq_data
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# Display the FAQ list
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for _, row in filtered_data.iterrows():
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with st.expander(row['title']):
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# st.write("**Questions:**")
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# for question in row['questions']:
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# st.write(f"- {question}")
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st.write(f"\n**Answer:**")
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st.write(row['answer'])
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