Spaces:
Sleeping
Sleeping
first commit
Browse files- .gitignore +213 -0
- Dockerfile +16 -0
- LICENSE +21 -0
- README.md +99 -6
- app.py +66 -0
- requirements.txt +12 -0
- setup.py +11 -0
- src/__init__.py +0 -0
- src/helper.py +24 -0
- src/prompt.py +9 -0
- static/style.css +223 -0
- template.py +35 -0
- templates/chat.html +81 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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| 2 |
+
__pycache__/
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| 3 |
+
*.py[codz]
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| 4 |
+
*$py.class
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+
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+
# C extensions
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+
*.so
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| 8 |
+
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| 9 |
+
# Distribution / packaging
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| 10 |
+
.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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| 20 |
+
sdist/
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| 21 |
+
var/
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| 22 |
+
wheels/
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| 23 |
+
share/python-wheels/
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*.egg-info/
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+
.installed.cfg
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| 26 |
+
*.egg
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| 27 |
+
MANIFEST
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+
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| 29 |
+
# PyInstaller
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| 30 |
+
# Usually these files are written by a python script from a template
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| 31 |
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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| 32 |
+
*.manifest
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| 33 |
+
*.spec
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| 34 |
+
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| 35 |
+
# Installer logs
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| 36 |
+
pip-log.txt
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| 37 |
+
pip-delete-this-directory.txt
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| 38 |
+
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| 39 |
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# Unit test / coverage reports
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| 40 |
+
htmlcov/
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| 41 |
+
.tox/
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| 42 |
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.nox/
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.coverage
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.coverage.*
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.cache
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| 46 |
+
nosetests.xml
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| 47 |
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coverage.xml
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| 48 |
+
*.cover
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*.py.cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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| 55 |
+
*.mo
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| 56 |
+
*.pot
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| 57 |
+
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| 58 |
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# Django stuff:
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| 59 |
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*.log
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| 60 |
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local_settings.py
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| 61 |
+
db.sqlite3
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| 62 |
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db.sqlite3-journal
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| 63 |
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| 64 |
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# Flask stuff:
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instance/
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| 66 |
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.webassets-cache
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| 67 |
+
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| 68 |
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# Scrapy stuff:
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| 69 |
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.scrapy
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| 70 |
+
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| 71 |
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# Sphinx documentation
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| 72 |
+
docs/_build/
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| 73 |
+
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| 74 |
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# PyBuilder
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| 75 |
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.pybuilder/
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| 76 |
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target/
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| 77 |
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| 78 |
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# Jupyter Notebook
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| 79 |
+
.ipynb_checkpoints
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| 80 |
+
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| 81 |
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# IPython
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| 82 |
+
profile_default/
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| 83 |
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ipython_config.py
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| 84 |
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| 85 |
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# pyenv
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| 86 |
+
# For a library or package, you might want to ignore these files since the code is
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| 87 |
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# intended to run in multiple environments; otherwise, check them in:
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| 88 |
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# .python-version
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| 89 |
+
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| 90 |
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# pipenv
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| 91 |
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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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| 96 |
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# UV
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| 98 |
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# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
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| 99 |
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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#uv.lock
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# poetry
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| 104 |
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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#poetry.toml
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+
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| 111 |
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# pdm
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| 112 |
+
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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| 113 |
+
# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
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| 114 |
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# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
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#pdm.lock
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#pdm.toml
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.pdm-python
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.pdm-build/
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# pixi
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| 121 |
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# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
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| 122 |
+
#pixi.lock
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| 123 |
+
# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
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# in the .venv directory. It is recommended not to include this directory in version control.
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| 125 |
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.pixi
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| 126 |
+
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| 127 |
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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| 129 |
+
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# Celery stuff
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| 131 |
+
celerybeat-schedule
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| 132 |
+
celerybeat.pid
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| 133 |
+
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| 134 |
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# SageMath parsed files
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| 135 |
+
*.sage.py
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| 136 |
+
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| 137 |
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# Environments
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| 138 |
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.env
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| 139 |
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.envrc
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| 140 |
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.venv
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env/
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venv/
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ENV/
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| 144 |
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env.bak/
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| 145 |
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venv.bak/
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| 146 |
+
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| 147 |
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# Spyder project settings
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| 148 |
+
.spyderproject
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| 149 |
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.spyproject
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| 150 |
+
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| 151 |
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# Rope project settings
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| 152 |
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.ropeproject
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| 153 |
+
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| 154 |
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# mkdocs documentation
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| 155 |
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/site
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| 156 |
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| 157 |
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# mypy
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| 158 |
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.mypy_cache/
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| 159 |
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.dmypy.json
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| 160 |
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dmypy.json
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| 161 |
+
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| 162 |
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# Pyre type checker
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| 163 |
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.pyre/
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| 164 |
+
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| 165 |
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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| 169 |
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cython_debug/
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| 170 |
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# PyCharm
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| 172 |
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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| 173 |
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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| 174 |
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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| 175 |
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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| 176 |
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#.idea/
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| 177 |
+
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| 178 |
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# Abstra
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| 179 |
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# Abstra is an AI-powered process automation framework.
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| 180 |
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# Ignore directories containing user credentials, local state, and settings.
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| 181 |
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# Learn more at https://abstra.io/docs
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| 182 |
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.abstra/
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| 183 |
+
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| 184 |
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# Visual Studio Code
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| 185 |
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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| 186 |
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# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
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| 187 |
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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| 188 |
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# you could uncomment the following to ignore the entire vscode folder
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| 189 |
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# .vscode/
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| 190 |
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| 191 |
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# Ruff stuff:
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| 192 |
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.ruff_cache/
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| 193 |
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| 194 |
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# PyPI configuration file
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| 195 |
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.pypirc
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| 196 |
+
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| 197 |
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# Cursor
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| 198 |
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# Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
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| 199 |
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# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
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| 200 |
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# refer to https://docs.cursor.com/context/ignore-files
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.cursorignore
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| 202 |
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.cursorindexingignore
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| 203 |
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# Marimo
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marimo/_static/
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| 206 |
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marimo/_lsp/
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| 207 |
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__marimo__/
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| 208 |
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| 209 |
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# Virtual environments
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| 210 |
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# Virtual environments created by tools like venv, virtualenv, or conda.
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| 211 |
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# These directories contain the Python interpreter and installed packages, which are not needed
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| 212 |
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# in version control.
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medchatbot/
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Dockerfile
ADDED
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FROM python:3.9-slim
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# Set working directory
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WORKDIR /app
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# Copy into container
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COPY . /app
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# dependencies
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RUN pip install -r requirements.txt
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# Expose port
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EXPOSE 7860
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# Run app
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CMD ["python", "app.py"]
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LICENSE
ADDED
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@@ -0,0 +1,21 @@
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| 1 |
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MIT License
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| 2 |
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| 3 |
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Copyright (c) 2025 Tien Tran Minh
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| 4 |
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| 5 |
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Permission is hereby granted, free of charge, to any person obtaining a copy
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| 6 |
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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| 8 |
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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| 9 |
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copies of the Software, and to permit persons to whom the Software is
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| 10 |
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furnished to do so, subject to the following conditions:
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| 11 |
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The above copyright notice and this permission notice shall be included in all
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| 13 |
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copies or substantial portions of the Software.
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| 14 |
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| 15 |
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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| 16 |
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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| 17 |
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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| 18 |
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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| 19 |
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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| 20 |
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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| 1 |
---
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| 2 |
title: MedChatBot
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-
emoji:
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-
colorFrom:
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colorTo:
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sdk: docker
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pinned: false
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-
license: mit
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short_description: A medical chatbot
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---
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-
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 1 |
---
|
| 2 |
title: MedChatBot
|
| 3 |
+
emoji: 💊
|
| 4 |
+
colorFrom: blue
|
| 5 |
+
colorTo: green
|
| 6 |
sdk: docker
|
| 7 |
pinned: false
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
+
# MedChatBot
|
| 11 |
+
|
| 12 |
+
A medical chatbot application that uses RAG (Retrieval-Augmented Generation) architecture to answer medical questions based on medical literature. The system combines **Google Gemini 2.5 Pro** as the language model with **Pinecone** vector database for efficient document retrieval.
|
| 13 |
+
|
| 14 |
+
## Technology Stack
|
| 15 |
+
|
| 16 |
+
- **Backend**: Flask
|
| 17 |
+
- **Language Model**: Google Gemini 2.5 Pro
|
| 18 |
+
- **Vector Database**: Pinecone
|
| 19 |
+
- **Embeddings**: HuggingFace sentence-transformers (all-MiniLM-L6-v2)
|
| 20 |
+
- **Document Processing**: LangChain, PyPDF
|
| 21 |
+
- **Frontend**: HTML/CSS/JavaScript
|
| 22 |
+
|
| 23 |
+
## Installation & Setup
|
| 24 |
+
|
| 25 |
+
### Step 1: Clone the Repository
|
| 26 |
+
```bash
|
| 27 |
+
git clone https://github.com/TMTien31/MedChatBot.git
|
| 28 |
+
cd MedChatBot
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
### Step 2: Create Virtual Environment
|
| 32 |
+
```bash
|
| 33 |
+
# Create virtual environment
|
| 34 |
+
python -m venv venv
|
| 35 |
+
|
| 36 |
+
# Activate virtual environment
|
| 37 |
+
# On Windows:
|
| 38 |
+
venv\Scripts\activate
|
| 39 |
+
|
| 40 |
+
# On macOS/Linux:
|
| 41 |
+
source venv/bin/activate
|
| 42 |
+
```
|
| 43 |
+
|
| 44 |
+
### Step 3: Install Dependencies
|
| 45 |
+
```bash
|
| 46 |
+
pip install -r requirements.txt
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
### Step 4: Get API Keys
|
| 50 |
+
|
| 51 |
+
#### Google Gemini API Key:
|
| 52 |
+
1. Go to [Google AI Studio](https://makersuite.google.com/app/apikey)
|
| 53 |
+
2. Create a new API key
|
| 54 |
+
3. Copy the generated key
|
| 55 |
+
|
| 56 |
+
#### Pinecone API Key:
|
| 57 |
+
1. Sign up at [Pinecone](https://www.pinecone.io/)
|
| 58 |
+
2. Go to your dashboard
|
| 59 |
+
3. Copy your API key from the "API Keys" section
|
| 60 |
+
|
| 61 |
+
### Step 5: Create Environment File
|
| 62 |
+
Create a `.env` file in the project root directory:
|
| 63 |
+
```bash
|
| 64 |
+
# Create .env file
|
| 65 |
+
touch .env # On macOS/Linux
|
| 66 |
+
# or create manually on Windows
|
| 67 |
+
```
|
| 68 |
+
|
| 69 |
+
Add your API keys to the `.env` file:
|
| 70 |
+
```env
|
| 71 |
+
PINECONE_API_KEY=your_pinecone_api_key_here
|
| 72 |
+
GEMINI_API_KEY=your_gemini_api_key_here
|
| 73 |
+
```
|
| 74 |
+
|
| 75 |
+
### Step 6: Prepare Medical Documents
|
| 76 |
+
- Place your PDF medical documents in the `Data/` folder
|
| 77 |
+
- The project includes "Gale Encyclopedia of Medicine Vol. 1 (A-B).pdf" by default
|
| 78 |
+
- You can add more medical PDFs to expand the knowledge base
|
| 79 |
+
|
| 80 |
+
### Step 7: Create Vector Index (Run Once)
|
| 81 |
+
**Important**: This step only needs to be run once initially, or whenever you add new documents to the `Data/` folder.
|
| 82 |
+
|
| 83 |
+
```bash
|
| 84 |
+
python store_index.py
|
| 85 |
+
```
|
| 86 |
+
|
| 87 |
+
This script will:
|
| 88 |
+
- Read all PDF files from the `Data/` directory
|
| 89 |
+
- Split text into 500-character chunks with 20-character overlap
|
| 90 |
+
- Generate embeddings using sentence-transformers
|
| 91 |
+
- Create and populate a Pinecone index named "medchatbot"
|
| 92 |
+
|
| 93 |
+
**Note**: This process may take several minutes depending on the size of your documents.
|
| 94 |
+
|
| 95 |
+
## Running the Application
|
| 96 |
+
|
| 97 |
+
### Start the Flask Server
|
| 98 |
+
```bash
|
| 99 |
+
python app.py
|
| 100 |
+
```
|
| 101 |
+
|
| 102 |
+
### Access the Application
|
| 103 |
+
1. Open your web browser
|
| 104 |
+
2. Navigate to: `http://0.0.0.0:8080` or `http://localhost:8080`
|
| 105 |
+
3. You should see the medical chatbot interface
|
app.py
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from flask import Flask, render_template, jsonify, request
|
| 2 |
+
from src.helper import download_hugging_face_embeddings
|
| 3 |
+
from langchain_pinecone import PineconeVectorStore
|
| 4 |
+
from langchain_google_genai import ChatGoogleGenerativeAI
|
| 5 |
+
from langchain.chains import create_retrieval_chain
|
| 6 |
+
from langchain.chains.combine_documents import create_stuff_documents_chain
|
| 7 |
+
from langchain_core.prompts import ChatPromptTemplate
|
| 8 |
+
from dotenv import load_dotenv
|
| 9 |
+
from src.prompt import *
|
| 10 |
+
import os
|
| 11 |
+
|
| 12 |
+
app = Flask(__name__)
|
| 13 |
+
|
| 14 |
+
load_dotenv()
|
| 15 |
+
|
| 16 |
+
PINECONE_API_KEY=os.environ.get('PINECONE_API_KEY')
|
| 17 |
+
GEMINI_API_KEY=os.environ.get('GEMINI_API_KEY')
|
| 18 |
+
|
| 19 |
+
os.environ["PINECONE_API_KEY"] = PINECONE_API_KEY
|
| 20 |
+
os.environ["GEMINI_API_KEY"] = GEMINI_API_KEY
|
| 21 |
+
|
| 22 |
+
embeddings = download_hugging_face_embeddings()
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
index_name = "medchatbot"
|
| 26 |
+
|
| 27 |
+
# Embed each chunk and upsert the embeddings into your Pinecone index.
|
| 28 |
+
docsearch = PineconeVectorStore.from_existing_index(
|
| 29 |
+
index_name=index_name,
|
| 30 |
+
embedding=embeddings
|
| 31 |
+
)
|
| 32 |
+
|
| 33 |
+
retriever = docsearch.as_retriever(search_type="similarity", search_kwargs={"k":3})
|
| 34 |
+
|
| 35 |
+
llm = ChatGoogleGenerativeAI(
|
| 36 |
+
model="gemini-2.5-pro",
|
| 37 |
+
google_api_key=GEMINI_API_KEY,
|
| 38 |
+
temperature=0.4,
|
| 39 |
+
max_output_tokens=2048
|
| 40 |
+
)
|
| 41 |
+
prompt = ChatPromptTemplate.from_messages(
|
| 42 |
+
[
|
| 43 |
+
("system", system_prompt),
|
| 44 |
+
("human", "{input}"),
|
| 45 |
+
]
|
| 46 |
+
)
|
| 47 |
+
|
| 48 |
+
question_answer_chain = create_stuff_documents_chain(llm, prompt)
|
| 49 |
+
rag_chain = create_retrieval_chain(retriever, question_answer_chain)
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
@app.route("/")
|
| 53 |
+
def index():
|
| 54 |
+
return render_template('chat.html')
|
| 55 |
+
|
| 56 |
+
@app.route("/get", methods=["GET", "POST"])
|
| 57 |
+
def chat():
|
| 58 |
+
msg = request.form["msg"]
|
| 59 |
+
input = msg
|
| 60 |
+
print(input)
|
| 61 |
+
response = rag_chain.invoke({"input": msg})
|
| 62 |
+
print("Response : ", response["answer"])
|
| 63 |
+
return str(response["answer"])
|
| 64 |
+
|
| 65 |
+
if __name__ == '__main__':
|
| 66 |
+
app.run(host="0.0.0.0", port= 7860, debug= True)
|
requirements.txt
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sentence-transformers==2.2.2
|
| 2 |
+
langchain
|
| 3 |
+
flask
|
| 4 |
+
pypdf
|
| 5 |
+
python-dotenv
|
| 6 |
+
pinecone[grpc]
|
| 7 |
+
langchain-pinecone
|
| 8 |
+
langchain_community
|
| 9 |
+
langchain_openai
|
| 10 |
+
langchain_experimental
|
| 11 |
+
langchain_google_genai
|
| 12 |
+
-e .
|
setup.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from setuptools import find_packages, setup
|
| 2 |
+
|
| 3 |
+
setup(
|
| 4 |
+
name = 'Medical Chatbot Project',
|
| 5 |
+
version= '0.0.0',
|
| 6 |
+
author= 'Tien Tran Minh',
|
| 7 |
+
author_email= 'tmt31032005@gmail.com',
|
| 8 |
+
packages= find_packages(),
|
| 9 |
+
install_requires = []
|
| 10 |
+
|
| 11 |
+
)
|
src/__init__.py
ADDED
|
File without changes
|
src/helper.py
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from langchain.document_loaders import PyPDFLoader, DirectoryLoader
|
| 2 |
+
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
| 3 |
+
from langchain.embeddings import HuggingFaceEmbeddings
|
| 4 |
+
|
| 5 |
+
#Extract Data From the PDF File
|
| 6 |
+
def load_pdf_file(data):
|
| 7 |
+
loader= DirectoryLoader(data,
|
| 8 |
+
glob="*.pdf",
|
| 9 |
+
loader_cls=PyPDFLoader)
|
| 10 |
+
|
| 11 |
+
documents=loader.load()
|
| 12 |
+
|
| 13 |
+
return documents
|
| 14 |
+
|
| 15 |
+
#Split the Data into Text Chunks
|
| 16 |
+
def text_split(extracted_data):
|
| 17 |
+
text_splitter=RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=20)
|
| 18 |
+
text_chunks=text_splitter.split_documents(extracted_data)
|
| 19 |
+
return text_chunks
|
| 20 |
+
|
| 21 |
+
#Download the Embeddings from Hugging Face
|
| 22 |
+
def download_hugging_face_embeddings():
|
| 23 |
+
embeddings=HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2')
|
| 24 |
+
return embeddings
|
src/prompt.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
system_prompt = (
|
| 2 |
+
"You are an assistant for question-answering tasks. "
|
| 3 |
+
"Use the following pieces of retrieved context to answer "
|
| 4 |
+
"the question. If you don't know the answer, say that you "
|
| 5 |
+
"don't know. Use three sentences maximum and keep the "
|
| 6 |
+
"answer concise."
|
| 7 |
+
"\n\n"
|
| 8 |
+
"{context}"
|
| 9 |
+
)
|
static/style.css
ADDED
|
@@ -0,0 +1,223 @@
|
|
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|
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|
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|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
| 1 |
+
body,html{
|
| 2 |
+
height: 100%;
|
| 3 |
+
margin: 0;
|
| 4 |
+
background: rgb(44, 47, 59);
|
| 5 |
+
background: -webkit-linear-gradient(to right, rgb(40, 59, 34), rgb(54, 60, 70), rgb(32, 32, 43));
|
| 6 |
+
background: linear-gradient(to right, rgb(38, 51, 61), rgb(50, 55, 65), rgb(33, 33, 78));
|
| 7 |
+
}
|
| 8 |
+
|
| 9 |
+
.chat{
|
| 10 |
+
margin-top: auto;
|
| 11 |
+
margin-bottom: auto;
|
| 12 |
+
}
|
| 13 |
+
.card{
|
| 14 |
+
height: 500px;
|
| 15 |
+
border-radius: 15px !important;
|
| 16 |
+
background-color: rgba(0,0,0,0.4) !important;
|
| 17 |
+
}
|
| 18 |
+
.contacts_body{
|
| 19 |
+
padding: 0.75rem 0 !important;
|
| 20 |
+
overflow-y: auto;
|
| 21 |
+
white-space: nowrap;
|
| 22 |
+
}
|
| 23 |
+
.msg_card_body{
|
| 24 |
+
overflow-y: auto;
|
| 25 |
+
}
|
| 26 |
+
.card-header{
|
| 27 |
+
border-radius: 15px 15px 0 0 !important;
|
| 28 |
+
border-bottom: 0 !important;
|
| 29 |
+
}
|
| 30 |
+
.card-footer{
|
| 31 |
+
border-radius: 0 0 15px 15px !important;
|
| 32 |
+
border-top: 0 !important;
|
| 33 |
+
}
|
| 34 |
+
.container{
|
| 35 |
+
align-content: center;
|
| 36 |
+
}
|
| 37 |
+
.search{
|
| 38 |
+
border-radius: 15px 0 0 15px !important;
|
| 39 |
+
background-color: rgba(0,0,0,0.3) !important;
|
| 40 |
+
border:0 !important;
|
| 41 |
+
color:white !important;
|
| 42 |
+
}
|
| 43 |
+
.search:focus{
|
| 44 |
+
box-shadow:none !important;
|
| 45 |
+
outline:0px !important;
|
| 46 |
+
}
|
| 47 |
+
.type_msg{
|
| 48 |
+
background-color: rgba(0,0,0,0.3) !important;
|
| 49 |
+
border:0 !important;
|
| 50 |
+
color:white !important;
|
| 51 |
+
height: 60px !important;
|
| 52 |
+
overflow-y: auto;
|
| 53 |
+
}
|
| 54 |
+
.type_msg:focus{
|
| 55 |
+
box-shadow:none !important;
|
| 56 |
+
outline:0px !important;
|
| 57 |
+
}
|
| 58 |
+
.attach_btn{
|
| 59 |
+
border-radius: 15px 0 0 15px !important;
|
| 60 |
+
background-color: rgba(0,0,0,0.3) !important;
|
| 61 |
+
border:0 !important;
|
| 62 |
+
color: white !important;
|
| 63 |
+
cursor: pointer;
|
| 64 |
+
}
|
| 65 |
+
.send_btn{
|
| 66 |
+
border-radius: 0 15px 15px 0 !important;
|
| 67 |
+
background-color: rgba(0,0,0,0.3) !important;
|
| 68 |
+
border:0 !important;
|
| 69 |
+
color: white !important;
|
| 70 |
+
cursor: pointer;
|
| 71 |
+
}
|
| 72 |
+
.search_btn{
|
| 73 |
+
border-radius: 0 15px 15px 0 !important;
|
| 74 |
+
background-color: rgba(0,0,0,0.3) !important;
|
| 75 |
+
border:0 !important;
|
| 76 |
+
color: white !important;
|
| 77 |
+
cursor: pointer;
|
| 78 |
+
}
|
| 79 |
+
.contacts{
|
| 80 |
+
list-style: none;
|
| 81 |
+
padding: 0;
|
| 82 |
+
}
|
| 83 |
+
.contacts li{
|
| 84 |
+
width: 100% !important;
|
| 85 |
+
padding: 5px 10px;
|
| 86 |
+
margin-bottom: 15px !important;
|
| 87 |
+
}
|
| 88 |
+
.active{
|
| 89 |
+
background-color: rgba(0,0,0,0.3);
|
| 90 |
+
}
|
| 91 |
+
.user_img{
|
| 92 |
+
height: 70px;
|
| 93 |
+
width: 70px;
|
| 94 |
+
border:1.5px solid #f5f6fa;
|
| 95 |
+
|
| 96 |
+
}
|
| 97 |
+
.user_img_msg{
|
| 98 |
+
height: 40px;
|
| 99 |
+
width: 40px;
|
| 100 |
+
border:1.5px solid #f5f6fa;
|
| 101 |
+
|
| 102 |
+
}
|
| 103 |
+
.img_cont{
|
| 104 |
+
position: relative;
|
| 105 |
+
height: 70px;
|
| 106 |
+
width: 70px;
|
| 107 |
+
}
|
| 108 |
+
.img_cont_msg{
|
| 109 |
+
height: 40px;
|
| 110 |
+
width: 40px;
|
| 111 |
+
}
|
| 112 |
+
.online_icon{
|
| 113 |
+
position: absolute;
|
| 114 |
+
height: 15px;
|
| 115 |
+
width:15px;
|
| 116 |
+
background-color: #4cd137;
|
| 117 |
+
border-radius: 50%;
|
| 118 |
+
bottom: 0.2em;
|
| 119 |
+
right: 0.4em;
|
| 120 |
+
border:1.5px solid white;
|
| 121 |
+
}
|
| 122 |
+
.offline{
|
| 123 |
+
background-color: #c23616 !important;
|
| 124 |
+
}
|
| 125 |
+
.user_info{
|
| 126 |
+
margin-top: auto;
|
| 127 |
+
margin-bottom: auto;
|
| 128 |
+
margin-left: 15px;
|
| 129 |
+
}
|
| 130 |
+
.user_info span{
|
| 131 |
+
font-size: 20px;
|
| 132 |
+
color: white;
|
| 133 |
+
}
|
| 134 |
+
.user_info p{
|
| 135 |
+
font-size: 10px;
|
| 136 |
+
color: rgba(255,255,255,0.6);
|
| 137 |
+
}
|
| 138 |
+
.video_cam{
|
| 139 |
+
margin-left: 50px;
|
| 140 |
+
margin-top: 5px;
|
| 141 |
+
}
|
| 142 |
+
.video_cam span{
|
| 143 |
+
color: white;
|
| 144 |
+
font-size: 20px;
|
| 145 |
+
cursor: pointer;
|
| 146 |
+
margin-right: 20px;
|
| 147 |
+
}
|
| 148 |
+
.msg_cotainer{
|
| 149 |
+
margin-top: auto;
|
| 150 |
+
margin-bottom: auto;
|
| 151 |
+
margin-left: 10px;
|
| 152 |
+
border-radius: 25px;
|
| 153 |
+
background-color: rgb(82, 172, 255);
|
| 154 |
+
padding: 10px;
|
| 155 |
+
position: relative;
|
| 156 |
+
}
|
| 157 |
+
.msg_cotainer_send{
|
| 158 |
+
margin-top: auto;
|
| 159 |
+
margin-bottom: auto;
|
| 160 |
+
margin-right: 10px;
|
| 161 |
+
border-radius: 25px;
|
| 162 |
+
background-color: #58cc71;
|
| 163 |
+
padding: 10px;
|
| 164 |
+
position: relative;
|
| 165 |
+
}
|
| 166 |
+
.msg_time{
|
| 167 |
+
position: absolute;
|
| 168 |
+
left: 0;
|
| 169 |
+
bottom: -15px;
|
| 170 |
+
color: rgba(255,255,255,0.5);
|
| 171 |
+
font-size: 10px;
|
| 172 |
+
}
|
| 173 |
+
.msg_time_send{
|
| 174 |
+
position: absolute;
|
| 175 |
+
right:0;
|
| 176 |
+
bottom: -15px;
|
| 177 |
+
color: rgba(255,255,255,0.5);
|
| 178 |
+
font-size: 10px;
|
| 179 |
+
}
|
| 180 |
+
.msg_head{
|
| 181 |
+
position: relative;
|
| 182 |
+
}
|
| 183 |
+
#action_menu_btn{
|
| 184 |
+
position: absolute;
|
| 185 |
+
right: 10px;
|
| 186 |
+
top: 10px;
|
| 187 |
+
color: white;
|
| 188 |
+
cursor: pointer;
|
| 189 |
+
font-size: 20px;
|
| 190 |
+
}
|
| 191 |
+
.action_menu{
|
| 192 |
+
z-index: 1;
|
| 193 |
+
position: absolute;
|
| 194 |
+
padding: 15px 0;
|
| 195 |
+
background-color: rgba(0,0,0,0.5);
|
| 196 |
+
color: white;
|
| 197 |
+
border-radius: 15px;
|
| 198 |
+
top: 30px;
|
| 199 |
+
right: 15px;
|
| 200 |
+
display: none;
|
| 201 |
+
}
|
| 202 |
+
.action_menu ul{
|
| 203 |
+
list-style: none;
|
| 204 |
+
padding: 0;
|
| 205 |
+
margin: 0;
|
| 206 |
+
}
|
| 207 |
+
.action_menu ul li{
|
| 208 |
+
width: 100%;
|
| 209 |
+
padding: 10px 15px;
|
| 210 |
+
margin-bottom: 5px;
|
| 211 |
+
}
|
| 212 |
+
.action_menu ul li i{
|
| 213 |
+
padding-right: 10px;
|
| 214 |
+
}
|
| 215 |
+
.action_menu ul li:hover{
|
| 216 |
+
cursor: pointer;
|
| 217 |
+
background-color: rgba(0,0,0,0.2);
|
| 218 |
+
}
|
| 219 |
+
@media(max-width: 576px){
|
| 220 |
+
.contacts_card{
|
| 221 |
+
margin-bottom: 15px !important;
|
| 222 |
+
}
|
| 223 |
+
}
|
template.py
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
from pathlib import Path
|
| 3 |
+
import logging
|
| 4 |
+
|
| 5 |
+
logging.basicConfig(level=logging.INFO, format='[%(asctime)s]: %(message)s:')
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
list_of_files = [
|
| 9 |
+
"src/__init__.py",
|
| 10 |
+
"src/helper.py",
|
| 11 |
+
"src/prompt.py",
|
| 12 |
+
".env",
|
| 13 |
+
"setup.py",
|
| 14 |
+
"app.py",
|
| 15 |
+
"research/trials.ipynb",
|
| 16 |
+
]
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
for filepath in list_of_files:
|
| 20 |
+
filepath = Path(filepath)
|
| 21 |
+
filedir, filename = os.path.split(filepath)
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
if filedir !="":
|
| 25 |
+
os.makedirs(filedir, exist_ok=True)
|
| 26 |
+
logging.info(f"Creating directory; {filedir} for the file: {filename}")
|
| 27 |
+
|
| 28 |
+
if (not os.path.exists(filepath)) or (os.path.getsize(filepath) == 0):
|
| 29 |
+
with open(filepath, "w") as f:
|
| 30 |
+
pass
|
| 31 |
+
logging.info(f"Creating empty file: {filepath}")
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
else:
|
| 35 |
+
logging.info(f"{filename} is already exists")
|
templates/chat.html
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<link href="//maxcdn.bootstrapcdn.com/bootstrap/4.1.1/css/bootstrap.min.css" rel="stylesheet" id="bootstrap-css">
|
| 2 |
+
<script src="//maxcdn.bootstrapcdn.com/bootstrap/4.1.1/js/bootstrap.min.js"></script>
|
| 3 |
+
<script src="//cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
|
| 4 |
+
|
| 5 |
+
<!DOCTYPE html>
|
| 6 |
+
<html>
|
| 7 |
+
<head>
|
| 8 |
+
<title>Chatbot</title>
|
| 9 |
+
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
|
| 10 |
+
<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.5.0/css/all.css" integrity="sha384-B4dIYHKNBt8Bc12p+WXckhzcICo0wtJAoU8YZTY5qE0Id1GSseTk6S+L3BlXeVIU" crossorigin="anonymous">
|
| 11 |
+
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
|
| 12 |
+
<link rel="stylesheet" type="text/css" href="{{ url_for('static', filename='style.css')}}"/>
|
| 13 |
+
</head>
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
<body>
|
| 17 |
+
<div class="container-fluid h-100">
|
| 18 |
+
<div class="row justify-content-center h-100">
|
| 19 |
+
<div class="col-md-8 col-xl-6 chat">
|
| 20 |
+
<div class="card">
|
| 21 |
+
<div class="card-header msg_head">
|
| 22 |
+
<div class="d-flex bd-highlight">
|
| 23 |
+
<div class="img_cont">
|
| 24 |
+
<img src="https://cdn-icons-png.flaticon.com/512/387/387569.png" class="rounded-circle user_img">
|
| 25 |
+
<!-- <img src="https://www.prdistribution.com/spirit/uploads/pressreleases/2019/newsreleases/d83341deb75c4c4f6b113f27b1e42cd8-chatbot-florence-already-helps-thousands-of-patients-to-remember-their-medication.png" class="rounded-circle user_img"> -->
|
| 26 |
+
<span class="online_icon"></span>
|
| 27 |
+
</div>
|
| 28 |
+
<div class="user_info">
|
| 29 |
+
<span>Medical Chatbot</span>
|
| 30 |
+
<p>Ask me anything!</p>
|
| 31 |
+
</div>
|
| 32 |
+
</div>
|
| 33 |
+
</div>
|
| 34 |
+
<div id="messageFormeight" class="card-body msg_card_body">
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
</div>
|
| 38 |
+
<div class="card-footer">
|
| 39 |
+
<form id="messageArea" class="input-group">
|
| 40 |
+
<input type="text" id="text" name="msg" placeholder="Type your message..." autocomplete="off" class="form-control type_msg" required/>
|
| 41 |
+
<div class="input-group-append">
|
| 42 |
+
<button type="submit" id="send" class="input-group-text send_btn"><i class="fas fa-location-arrow"></i></button>
|
| 43 |
+
</div>
|
| 44 |
+
</form>
|
| 45 |
+
</div>
|
| 46 |
+
</div>
|
| 47 |
+
</div>
|
| 48 |
+
</div>
|
| 49 |
+
</div>
|
| 50 |
+
|
| 51 |
+
<script>
|
| 52 |
+
$(document).ready(function() {
|
| 53 |
+
$("#messageArea").on("submit", function(event) {
|
| 54 |
+
const date = new Date();
|
| 55 |
+
const hour = date.getHours();
|
| 56 |
+
const minute = date.getMinutes();
|
| 57 |
+
const str_time = hour+":"+minute;
|
| 58 |
+
var rawText = $("#text").val();
|
| 59 |
+
|
| 60 |
+
var userHtml = '<div class="d-flex justify-content-end mb-4"><div class="msg_cotainer_send">' + rawText + '<span class="msg_time_send">'+ str_time + '</span></div><div class="img_cont_msg"><img src="https://i.ibb.co/d5b84Xw/Untitled-design.png" class="rounded-circle user_img_msg"></div></div>';
|
| 61 |
+
|
| 62 |
+
$("#text").val("");
|
| 63 |
+
$("#messageFormeight").append(userHtml);
|
| 64 |
+
|
| 65 |
+
$.ajax({
|
| 66 |
+
data: {
|
| 67 |
+
msg: rawText,
|
| 68 |
+
},
|
| 69 |
+
type: "POST",
|
| 70 |
+
url: "/get",
|
| 71 |
+
}).done(function(data) {
|
| 72 |
+
var botHtml = '<div class="d-flex justify-content-start mb-4"><div class="img_cont_msg"><img src="https://cdn-icons-png.flaticon.com/512/387/387569.png" class="rounded-circle user_img_msg"></div><div class="msg_cotainer">' + data + '<span class="msg_time">' + str_time + '</span></div></div>';
|
| 73 |
+
$("#messageFormeight").append($.parseHTML(botHtml));
|
| 74 |
+
});
|
| 75 |
+
event.preventDefault();
|
| 76 |
+
});
|
| 77 |
+
});
|
| 78 |
+
</script>
|
| 79 |
+
|
| 80 |
+
</body>
|
| 81 |
+
</html>
|