├── requirements.txt ├── README.md ├── LICENSE ├── app.py └── .gitignore /requirements.txt: -------------------------------------------------------------------------------- 1 | CTransformers 2 | streamlit 3 | gradio 4 | langchain 5 | fastapi 6 | uvicorn -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Code-Llama-QA-Bot 2 | This is a QA bot based on Code Llama. It is a new LLM for code by Meta AI. 3 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 AI Anytime 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /app.py: -------------------------------------------------------------------------------- 1 | from langchain.llms import CTransformers 2 | from langchain.chains import LLMChain 3 | from langchain import PromptTemplate 4 | import os 5 | import io 6 | import gradio as gr 7 | import time 8 | 9 | 10 | custom_prompt_template = """ 11 | You are an AI Coding Assitant and your task is to solve coding problems and return code snippets based on given user's query. Below is the user's query. 12 | Query: {query} 13 | 14 | You just return the helpful code. 15 | Helpful Answer: 16 | """ 17 | 18 | def set_custom_prompt(): 19 | prompt = PromptTemplate(template=custom_prompt_template, 20 | input_variables=['query']) 21 | return prompt 22 | 23 | 24 | #Loading the model 25 | def load_model(): 26 | # Load the locally downloaded model here 27 | llm = CTransformers( 28 | model = "codellama-7b-instruct.ggmlv3.Q4_0.bin", 29 | model_type="llama", 30 | max_new_tokens = 1096, 31 | temperature = 0.2, 32 | repetition_penalty = 1.13 33 | #stream=True 34 | #gpu_layers = 10 35 | ) 36 | 37 | return llm 38 | 39 | print(load_model()) 40 | 41 | def chain_pipeline(): 42 | llm = load_model() 43 | qa_prompt = set_custom_prompt() 44 | qa_chain = LLMChain( 45 | prompt=qa_prompt, 46 | llm=llm 47 | ) 48 | return qa_chain 49 | 50 | llmchain = chain_pipeline() 51 | 52 | def bot(query): 53 | llm_response = llmchain.run({"query": query}) 54 | return llm_response 55 | 56 | with gr.Blocks(title='Code Llama Demo') as demo: 57 | # gr.HTML("Code Llama Demo") 58 | gr.Markdown("# Code Llama Demo") 59 | chatbot = gr.Chatbot([], elem_id="chatbot", height=700) 60 | msg = gr.Textbox() 61 | clear = gr.ClearButton([msg, chatbot]) 62 | 63 | def respond(message, chat_history): 64 | bot_message = bot(message) 65 | chat_history.append((message, bot_message)) 66 | time.sleep(2) 67 | return "", chat_history 68 | 69 | msg.submit(respond, [msg, chatbot], [msg, chatbot]) 70 | 71 | demo.launch() 72 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 113 | __pypackages__/ 114 | 115 | # Celery stuff 116 | celerybeat-schedule 117 | celerybeat.pid 118 | 119 | # SageMath parsed files 120 | *.sage.py 121 | 122 | # Environments 123 | .env 124 | .venv 125 | env/ 126 | venv/ 127 | ENV/ 128 | env.bak/ 129 | venv.bak/ 130 | 131 | # Spyder project settings 132 | .spyderproject 133 | .spyproject 134 | 135 | # Rope project settings 136 | .ropeproject 137 | 138 | # mkdocs documentation 139 | /site 140 | 141 | # mypy 142 | .mypy_cache/ 143 | .dmypy.json 144 | dmypy.json 145 | 146 | # Pyre type checker 147 | .pyre/ 148 | 149 | # pytype static type analyzer 150 | .pytype/ 151 | 152 | # Cython debug symbols 153 | cython_debug/ 154 | 155 | # PyCharm 156 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 157 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 158 | # and can be added to the global gitignore or merged into this file. For a more nuclear 159 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 160 | #.idea/ 161 | --------------------------------------------------------------------------------