Upload 9 files

.env.sample

@@ -1 +1 @@
-OPENAI_API_KEY=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
+OPENAI_API_KEY=###

.gitattributes

@@ -1,35 +1,35 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
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-*.lfs.* filter=lfs diff=lfs merge=lfs -text
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-*.msgpack filter=lfs diff=lfs merge=lfs -text
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-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
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-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
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-*.wasm filter=lfs diff=lfs merge=lfs -text
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-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -1,160 +1,161 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+.chainlit/
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

Dockerfile

@@ -39,4 +39,4 @@ RUN uv sync
 EXPOSE 7860
 
 # Run the app
-CMD ["uv", "run", "chainlit", "run", "app.py", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uv", "run", "chainlit", "run", "app.py", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,200 +1,200 @@
----
-title: BeyondChatGPT Demo
-emoji: 📉
-colorFrom: pink
-colorTo: yellow
-sdk: docker
-pinned: false
-app_port: 7860
----
-
-<p align = "center" draggable=”false” ><img src="https://github.com/AI-Maker-Space/LLM-Dev-101/assets/37101144/d1343317-fa2f-41e1-8af1-1dbb18399719" 
-     width="200px"
-     height="auto"/>
-</p>
-
-
-## <h1 align="center" id="heading">:wave: Welcome to Beyond ChatGPT!!</h1>
-
-For a step-by-step YouTube video walkthrough, watch this! [Deploying Chainlit app on Hugging Face](https://www.youtube.com/live/pRbbZcL0NMI?si=NAYhMZ_suAY84f06&t=2119)
-
-![Beyond ChatGPT: Build Your First LLM Application](https://github.com/AI-Maker-Space/Beyond-ChatGPT/assets/48775140/cb7a74b8-28af-4d12-a008-8f5a51d47b4c)
-
-## 🤖 Your First LLM App
-
-> If you need an introduction to `git`, or information on how to set up API keys for the tools we'll be using in this repository - check out our [Interactive Dev Environment for LLM Development](https://github.com/AI-Maker-Space/Interactive-Dev-Environment-for-LLM-Development/tree/main) which has everything you'd need to get started in this repository!
-
-In this repository, we'll walk you through the steps to create a Large Language Model (LLM) application using Chainlit, then containerize it using Docker, and finally deploy it on Huggingface Spaces.
-
-Are you ready? Let's get started!
-
-<details>
-  <summary>🖥️ Accessing "gpt-3.5-turbo" (ChatGPT) like a developer</summary>
-
-1. Head to [this notebook](https://colab.research.google.com/drive/1mOzbgf4a2SP5qQj33ZxTz2a01-5eXqk2?usp=sharing) and follow along with the instructions!
-
-2. Complete the notebook and try out your own system/assistant messages!
-
-That's it! Head to the next step and start building your application!
-
-</details>
-
-
-<details>
-  <summary>🏗️ Building Your First LLM App</summary>
-
-1. Clone [this](https://github.com/AI-Maker-Space/Beyond-ChatGPT/tree/main) repo.
-
-     ``` bash
-     git clone https://github.com/AI-Maker-Space/Beyond-ChatGPT.git
-     ```
-
-2. Navigate inside this repo
-     ``` bash
-     cd Beyond-ChatGPT
-     ```
-
-3. Create a virtual environment and install dependencies.
-     ``` bash
-     # Create a virtual environment
-     uv venv
-
-     # Activate the virtual environment
-     # On macOS/Linux:
-     source .venv/bin/activate
-     # On Windows:
-     # .venv\Scripts\activate
-
-     # Install dependencies from pyproject.toml
-     uv sync
-     ``` 
-
-4. Open your `.env` file. Replace the `###` in your `.env` file with your OpenAI Key and save the file.
-     ``` bash
-     OPENAI_API_KEY=sk-###
-     ```
-
-5. Let's try deploying it locally. Make sure you're in the activated virtual environment. Run the app using Chainlit. This may take a minute to run.
-     ``` bash
-     uv run chainlit run app.py -w
-     ```
-
-<p align = "center" draggable="false">
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/54bcccf9-12e2-4cef-ab53-585c1e2b0fb5"> 
-</p>
-
-Great work! Let's see if we can interact with our chatbot.
-
-<p align = "center" draggable="false">
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/854e4435-1dee-438a-9146-7174b39f7c61"> 
-</p> 
-
-Awesome! Time to throw it into a docker container and prepare it for shipping!
-</details>
-
-
-
-<details>
-  <summary>🐳 Containerizing our App</summary>
-
-1. Let's build the Docker image. We'll tag our image as `llm-app` using the `-t` parameter. The `.` at the end means we want all of the files in our current directory to be added to our image. Note that our Dockerfile is set up to use uv for dependency management and will install all the packages defined in our pyproject.toml file.
-     
-     ``` bash
-     docker build -t llm-app .
-     ```
-
-2. Run and test the Docker image locally using the `run` command. The `-p`parameter connects our **host port #** to the left of the `:` to our **container port #** on the right.
-    
-     ``` bash
-     docker run -p 7860:7860 llm-app
-     ```
-
-3. Visit http://localhost:7860 in your browser to see if the app runs correctly.
-
-<p align = "center" draggable="false">
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/2c764f25-09a0-431b-8d28-32246e0ca1b7"> 
-</p>
-
-Great! Time to ship!
-</details>
-
-
-<details>
-  <summary>🚀 Deploying Your First LLM App</summary>
-
-1. Let's create a new Huggingface Space. Navigate to [Huggingface](https://huggingface.co) and click on your profile picture on the top right. Then click on `New Space`.
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/f0656408-28b8-4876-9887-8f0c4b882bae"> 
-</p>
-
-2. Setup your space as shown below:
-   
-- Owner: Your username
-- Space Name: `llm-app`
-- License: `Openrail`
-- Select the Space SDK: `Docker`
-- Docker Template: `Blank`
-- Space Hardware: `CPU basic - 2 vCPU - 16 GB - Free`
-- Repo type: `Public`
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/8f16afd1-6b46-4d9f-b642-8fefe355c5c9"> 
-</p>
-
-3. You should see something like this. We're now ready to send our files to our Huggingface Space. After cloning, move your files to this repo and push it along with your docker file. You DO NOT need to create a Dockerfile. Make sure NOT TO push your `.env` file. This should automatically be ignored.
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/cbf366e2-7613-4223-932a-72c67a73f9c6"> 
-</p>
-
-4. After pushing all files, navigate to the settings in the top right to add your OpenAI API key.
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/a1123a6f-abdd-4f76-bea4-39acf9928762"> 
-</p>
-
-5. Scroll down to `Variables and secrets` and click on `New secret` on the top right.
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/a8a4a25d-752b-4036-b572-93381370c2db"> 
-</p>
-
-6. Set the name to `OPENAI_API_KEY` and add your OpenAI key under `Value`. Click save.
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/0a897538-1779-48ff-bcb4-486af30f7a14"> 
-</p>
-
-7. To ensure your key is being used, we recommend you `Restart this Space`.
-
-<p align = "center" draggable=”false”>
-<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/fb1d83af-6ebe-4676-8bf5-b6d88f07c583"> 
-</p>
-
-8. Congratulations! You just deployed your first LLM! 🚀🚀🚀 Get on linkedin and post your results and experience! Make sure to tag us at #AIMakerspace !
-
-Here's a template to get your post started!
-
-```
-🚀🎉 Exciting News! 🎉🚀
-
-🏗️ Today, I'm thrilled to announce that I've successfully built and shipped my first-ever LLM using the powerful combination of Chainlit, Docker, and the OpenAI API! 🖥️
-
-Check it out 👇
-[LINK TO APP]
-
-A big shoutout to the @**AI Makerspace** for all making this possible. Couldn't have done it without the incredible community there. 🤗🙏
-
-Looking forward to building with the community! 🙌✨ Here's to many more creations ahead! 🥂🎉
-
-Who else is diving into the world of AI? Let's connect! 🌐💡
-
-#FirstLLM #Chainlit #Docker #OpenAI #AIMakerspace
-```
-
-</details>
-
-<p></p>
-
-### That's it for now!  And so it begins.... :)
+---
+title: BeyondChatGPT Demo
+emoji: 📉
+colorFrom: pink
+colorTo: yellow
+sdk: docker
+pinned: false
+app_port: 7860
+---
+
+<p align = "center" draggable=”false” ><img src="https://github.com/AI-Maker-Space/LLM-Dev-101/assets/37101144/d1343317-fa2f-41e1-8af1-1dbb18399719" 
+     width="200px"
+     height="auto"/>
+</p>
+
+
+## <h1 align="center" id="heading">:wave: Welcome to Beyond ChatGPT!!</h1>
+
+For a step-by-step YouTube video walkthrough, watch this! [Deploying Chainlit app on Hugging Face](https://www.youtube.com/live/pRbbZcL0NMI?si=NAYhMZ_suAY84f06&t=2119)
+
+![Beyond ChatGPT: Build Your First LLM Application](https://github.com/AI-Maker-Space/Beyond-ChatGPT/assets/48775140/cb7a74b8-28af-4d12-a008-8f5a51d47b4c)
+
+## 🤖 Your First LLM App
+
+> If you need an introduction to `git`, or information on how to set up API keys for the tools we'll be using in this repository - check out our [Interactive Dev Environment for LLM Development](https://github.com/AI-Maker-Space/Interactive-Dev-Environment-for-LLM-Development/tree/main) which has everything you'd need to get started in this repository!
+
+In this repository, we'll walk you through the steps to create a Large Language Model (LLM) application using Chainlit, then containerize it using Docker, and finally deploy it on Huggingface Spaces.
+
+Are you ready? Let's get started!
+
+<details>
+  <summary>🖥️ Accessing "gpt-3.5-turbo" (ChatGPT) like a developer</summary>
+
+1. Head to [this notebook](https://colab.research.google.com/drive/1mOzbgf4a2SP5qQj33ZxTz2a01-5eXqk2?usp=sharing) and follow along with the instructions!
+
+2. Complete the notebook and try out your own system/assistant messages!
+
+That's it! Head to the next step and start building your application!
+
+</details>
+
+
+<details>
+  <summary>🏗️ Building Your First LLM App</summary>
+
+1. Clone [this](https://github.com/AI-Maker-Space/Beyond-ChatGPT/tree/main) repo.
+
+     ``` bash
+     git clone https://github.com/AI-Maker-Space/Beyond-ChatGPT.git
+     ```
+
+2. Navigate inside this repo
+     ``` bash
+     cd Beyond-ChatGPT
+     ```
+
+3. Create a virtual environment and install dependencies.
+     ``` bash
+     # Create a virtual environment
+     uv venv
+
+     # Activate the virtual environment
+     # On macOS/Linux:
+     source .venv/bin/activate
+     # On Windows:
+     # .venv\Scripts\activate
+
+     # Install dependencies from pyproject.toml
+     uv sync
+     ``` 
+
+4. Open your `.env` file. Replace the `###` in your `.env` file with your OpenAI Key and save the file.
+     ``` bash
+     OPENAI_API_KEY=sk-###
+     ```
+
+5. Let's try deploying it locally. Make sure you're in the activated virtual environment. Run the app using Chainlit. This may take a minute to run.
+     ``` bash
+     uv run chainlit run app.py -w
+     ```
+
+<p align = "center" draggable="false">
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/54bcccf9-12e2-4cef-ab53-585c1e2b0fb5"> 
+</p>
+
+Great work! Let's see if we can interact with our chatbot.
+
+<p align = "center" draggable="false">
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/854e4435-1dee-438a-9146-7174b39f7c61"> 
+</p> 
+
+Awesome! Time to throw it into a docker container and prepare it for shipping!
+</details>
+
+
+
+<details>
+  <summary>🐳 Containerizing our App</summary>
+
+1. Let's build the Docker image. We'll tag our image as `llm-app` using the `-t` parameter. The `.` at the end means we want all of the files in our current directory to be added to our image. Note that our Dockerfile is set up to use uv for dependency management and will install all the packages defined in our pyproject.toml file.
+     
+     ``` bash
+     docker build -t llm-app .
+     ```
+
+2. Run and test the Docker image locally using the `run` command. The `-p`parameter connects our **host port #** to the left of the `:` to our **container port #** on the right.
+    
+     ``` bash
+     docker run -p 7860:7860 llm-app
+     ```
+
+3. Visit http://localhost:7860 in your browser to see if the app runs correctly.
+
+<p align = "center" draggable="false">
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/2c764f25-09a0-431b-8d28-32246e0ca1b7"> 
+</p>
+
+Great! Time to ship!
+</details>
+
+
+<details>
+  <summary>🚀 Deploying Your First LLM App</summary>
+
+1. Let's create a new Huggingface Space. Navigate to [Huggingface](https://huggingface.co) and click on your profile picture on the top right. Then click on `New Space`.
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/f0656408-28b8-4876-9887-8f0c4b882bae"> 
+</p>
+
+2. Setup your space as shown below:
+   
+- Owner: Your username
+- Space Name: `llm-app`
+- License: `Openrail`
+- Select the Space SDK: `Docker`
+- Docker Template: `Blank`
+- Space Hardware: `CPU basic - 2 vCPU - 16 GB - Free`
+- Repo type: `Public`
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/8f16afd1-6b46-4d9f-b642-8fefe355c5c9"> 
+</p>
+
+3. You should see something like this. We're now ready to send our files to our Huggingface Space. After cloning, move your files to this repo and push it along with your docker file. You DO NOT need to create a Dockerfile. Make sure NOT TO push your `.env` file. This should automatically be ignored.
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/cbf366e2-7613-4223-932a-72c67a73f9c6"> 
+</p>
+
+4. After pushing all files, navigate to the settings in the top right to add your OpenAI API key.
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/a1123a6f-abdd-4f76-bea4-39acf9928762"> 
+</p>
+
+5. Scroll down to `Variables and secrets` and click on `New secret` on the top right.
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/a8a4a25d-752b-4036-b572-93381370c2db"> 
+</p>
+
+6. Set the name to `OPENAI_API_KEY` and add your OpenAI key under `Value`. Click save.
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/0a897538-1779-48ff-bcb4-486af30f7a14"> 
+</p>
+
+7. To ensure your key is being used, we recommend you `Restart this Space`.
+
+<p align = "center" draggable=”false”>
+<img src="https://github.com/AI-Maker-Space/LLMOps-Dev-101/assets/37101144/fb1d83af-6ebe-4676-8bf5-b6d88f07c583"> 
+</p>
+
+8. Congratulations! You just deployed your first LLM! 🚀🚀🚀 Get on linkedin and post your results and experience! Make sure to tag us at #AIMakerspace !
+
+Here's a template to get your post started!
+
+```
+🚀🎉 Exciting News! 🎉🚀
+
+🏗️ Today, I'm thrilled to announce that I've successfully built and shipped my first-ever LLM using the powerful combination of Chainlit, Docker, and the OpenAI API! 🖥️
+
+Check it out 👇
+[LINK TO APP]
+
+A big shoutout to the @**AI Makerspace** for all making this possible. Couldn't have done it without the incredible community there. 🤗🙏
+
+Looking forward to building with the community! 🙌✨ Here's to many more creations ahead! 🥂🎉
+
+Who else is diving into the world of AI? Let's connect! 🌐💡
+
+#FirstLLM #Chainlit #Docker #OpenAI #AIMakerspace
+```
+
+</details>
+
+<p></p>
+
+### That's it for now!  And so it begins.... :)

app.py

@@ -77,4 +77,4 @@ async def main(message: cl.Message):
     msg.prompt = prompt
 
     # Send and close the message stream
-    await msg.send()
+    await msg.send()

chainlit.md

@@ -1,3 +1,3 @@
-# Beyond ChatGPT 
-
-This Chainlit app was created following instructions from [this repository!](https://github.com/AI-Maker-Space/Beyond-ChatGPT)
+# Beyond ChatGPT 
+
+This Chainlit app was created following instructions from [this repository!](https://github.com/AI-Maker-Space/Beyond-ChatGPT)

pyproject.toml

@@ -1,14 +1,14 @@
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+readme = "README.md"
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+    "cohere==4.37",
+    "openai==1.3.5",
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