Merge pull request #217 from GoogleCloudPlatform/b347676705

feat(AI/AML App): Add Gemini Chat bot - sample applicaiton

ai-ml/gemini-chatbot-app/.gitignore

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+# virtual env
+.venv
+
+# Cache
+__pycache__/
+.ipynb_checkpoints/

ai-ml/gemini-chatbot-app/LICENSE

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ai-ml/gemini-chatbot-app/README.md

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+# Chatbot with Gemini Flash 1.5
+
+Goal: To create a simple chat bot using following resoruces
+
+* Gemini Flash 1.5: A powerful large language model from Google AI and also a Lightweight, fast and cost-efficient AI model.
+* Streamlit: An open-source Python framework for data scientists and AI/ML engineers for building interactive data apps.
+* Cloud Run: A fully managed platform that enables you to run your code directly on top of Google's scalable infrastructure.
+
+
+## Prerequisites
+
+* Google Chrome (browser)
+* Google Cloud Project
+
+For development environments or IDEs, the recommended option is to use Google Cloud Shell, a simple and convenient tool. Alternatively, you can set up local access to your project using the gcloud CLI and the latest version of Python.
+
+If you are using 
+
+## How to run?
+
+If you wish to skip the details and host the app directly, then go to `lesson02/` and run `deploy.sh`. Otherwise try `lesson01` folder to understand basics and then move to `lesson02` folder
+
+
+To run the app, you can the following code in `lesson01` and `lesson01`
+```
+python3 -m venv .venv
+source .venv/bin/activate
+python3 -m pip install -r requirements.txt
+
+streamlit run streamlit_app.py
+```
+
+In lesson01 folder your will learning following
+
+* A simple hello-world application in Streamlit
+* How to deploy it Cloud Run
+
+In lesson02 folder your will learning following
+
+* How to create chatbot with Gemini Flash 1.5
+
+
+## Folder structure
+
+Here is the folder structure of the repository.
+```
+.
+├── lesson01
+│   ├── deploy.sh
+│   ├── Procfile
+│   ├── requirements.txt
+│   └── streamlit_app.py
+├── lesson02
+│   ├── deploy.sh
+│   ├── llm.py
+│   ├── Procfile
+│   ├── requirements.txt
+│   └── streamlit_app.py
+├── LICENSE
+└── README.md
+```
+
+
+* `deploy.sh` for deploying your code to Cloud Run
+* `Procfile` has configuration for deploying Streamlit application in Cloud Run
+* `requirements.txt` has required packages for this applicaiton
+* `streamlit_app.py` has the Streamlit application code
+* `llm.py` contains the application code found in https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/generative_ai/inference
+
+
+### Chatbot Permission
+
+* To access Gemini Flash 1.5 AI Model from your local environment, you may need to setup [Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc).
+* To access Gemini Flash 1.5 AI Model from your Cloud Run instance, you may need to update Cloud Run Serivce Account IAM permissions.
+
+

ai-ml/gemini-chatbot-app/lesson01/Procfile

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+
+web: streamlit run streamlit_app.py --server.port=8080 --server.address=0.0.0.0 --server.enableCORS=false --browser.gatherUsageStats=false

ai-ml/gemini-chatbot-app/lesson01/deploy.sh

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+#!/bin/bash
+
+# Purpose: To deploy the App to Cloud Run.
+
+# Google Cloud Project
+PROJECT=my-cloud-project
+
+# Google Cloud Region
+LOCATION=europe-north1
+
+# Depolying app from source code
+gcloud run deploy simple-app --source . --region=$LOCATION --project=$PROJECT --allow-unauthenticated

ai-ml/gemini-chatbot-app/lesson01/requirements.txt

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+
+streamlit

ai-ml/gemini-chatbot-app/lesson01/streamlit_app.py

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+#!/usr/bin/env python
+#
+# Copyright 2024 Google, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import streamlit as st
+
+st.title("Sample AI App")
+
+st.text("This is a sample app.")

ai-ml/gemini-chatbot-app/lesson02/Procfile

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+web: streamlit run streamlit_app.py --server.port=8080 --server.address=0.0.0.0 --server.enableCORS=false --browser.gatherUsageStats=false

ai-ml/gemini-chatbot-app/lesson02/deploy.sh

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+#!/bin/bash
+
+# Purpose: To deploy the App to Cloud Run.
+
+# Google Cloud Project
+PROJECT=my-cloud-project
+
+# Google Cloud Region
+LOCATION=europe-north1
+
+# Depolying app from source code
+gcloud run deploy simple-app --source . --region=$LOCATION --project=$PROJECT --allow-unauthenticated