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ChatBot_UI/.devcontainer/devcontainer.json

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+// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
+// https://github.com/microsoft/vscode-dev-containers/tree/v0.209.6/containers/python-3
+{
+    "image": "mcr.microsoft.com/devcontainers/python:3.11-bullseye",
+    "customizations": {
+        "codespaces": {
+          "openFiles": [
+            "README.md",
+            "Chatbot.py"
+          ]
+        },
+        "vscode": {
+          "settings": {},
+          "extensions": [
+            "ms-python.python",
+            "ms-python.vscode-pylance"
+          ]
+        }
+      },
+    // Use 'forwardPorts' to make a list of ports inside the container available locally.
+    "forwardPorts": [
+        8501
+    ],
+    // Use 'postCreateCommand' to run commands after the container is created.
+    // Install app dependencies.
+    "postCreateCommand": "pip3 install --user -r requirements.txt",
+    // Use 'postAttachCommand' to run commands after a tool has attached to the container.
+    // Start the app.
+    "postAttachCommand": {
+        "server": "streamlit run Chatbot.py --server.enableCORS false --server.enableXsrfProtection false"
+    },
+    "portsAttributes": {
+        "8501": {
+            "label": "Application",
+            "onAutoForward": "openPreview"
+        }
+    },
+    // Comment out connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
+    "remoteUser": "vscode",
+    "features": {
+        // Optional features for development - increase container boot time!
+        // "ghcr.io/devcontainers-contrib/features/coverage-py:2": {},
+        // "git": "latest",
+        // "github-cli": "latest"
+    }
+}

ChatBot_UI/.gitignore

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+.venv
+__pycache__/
+.DS_Store
+secrets.toml

ChatBot_UI/.pre-commit-config.yaml

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+repos:
+  -   repo: https://github.com/pre-commit/pre-commit-hooks
+      rev: v4.4.0
+      hooks:
+        -   id: check-yaml
+        -   id: end-of-file-fixer
+        -   id: trailing-whitespace
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.1.14
+    hooks:
+      - id: ruff
+      - id: ruff-format

ChatBot_UI/.ruff.toml

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+line-length = 105

ChatBot_UI/Chatbot.py

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+import streamlit as st
+import requests
+
+st.set_page_config(layout="wide")
+st.write("### 🤖 Client Retention Model")
+
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]
+
+with st.sidebar:
+    if st.button("New Chat"):
+        st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]
+
+# Display existing chat history
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
+
+# Get user input and handle empty input
+if prompt := st.chat_input("Enter your query"):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    st.chat_message("user").write(prompt)
+
+    # Send user input to backend and get response
+    try:
+        response = requests.post("http://127.0.0.1:5000/chat", json={"prompt": prompt})
+        response.raise_for_status()
+        msg = response.json().get("response", "Error: No response from backend.")
+    except requests.exceptions.RequestException as e:
+        msg = f"Error: {e}"
+
+    st.session_state.messages.append({"role": "assistant", "content": msg})
+    st.chat_message("assistant").write(msg)

ChatBot_UI/LICENSE

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+                                 Apache License
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ChatBot_UI/README.md

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+# 🎈 Streamlit + LLM Examples App
+
+[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/streamlit/llm-examples?quickstart=1)
+
+Starter examples for building LLM apps with Streamlit.
+
+## Overview of the App
+
+This app showcases a growing collection of LLM minimum working examples.
+
+Current examples include:
+
+- Chatbot
+- File Q&A
+- Chat with Internet search
+- LangChain Quickstart
+- LangChain PromptTemplate
+- Chat with user feedback
+
+## Demo App
+
+[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://llm-examples.streamlit.app/)
+
+### Get an OpenAI API key
+
+You can get your own OpenAI API key by following the following instructions:
+
+1. Go to https://platform.openai.com/account/api-keys.
+2. Click on the `+ Create new secret key` button.
+3. Next, enter an identifier name (optional) and click on the `Create secret key` button.
+
+### Enter the OpenAI API key in Streamlit Community Cloud
+
+To set the OpenAI API key as an environment variable in Streamlit apps, do the following:
+
+1. At the lower right corner, click on `< Manage app` then click on the vertical "..." followed by clicking on `Settings`.
+2. This brings the **App settings**, next click on the `Secrets` tab and paste the API key into the text box as follows:
+
+```sh
+OPENAI_API_KEY='xxxxxxxxxx'
+```
+
+## Run it locally
+
+```sh
+virtualenv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+streamlit run Chatbot.py
+```

ChatBot_UI/app_test.py

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+import datetime
+from unittest.mock import patch
+from streamlit.testing.v1 import AppTest
+from openai.types.chat import ChatCompletionMessage
+from openai.types.chat.chat_completion import ChatCompletion, Choice
+
+
+# See https://github.com/openai/openai-python/issues/715#issuecomment-1809203346
+def create_chat_completion(response: str, role: str = "assistant") -> ChatCompletion:
+    return ChatCompletion(
+        id="foo",
+        model="gpt-3.5-turbo",
+        object="chat.completion",
+        choices=[
+            Choice(
+                finish_reason="stop",
+                index=0,
+                message=ChatCompletionMessage(
+                    content=response,
+                    role=role,
+                ),
+            )
+        ],
+        created=int(datetime.datetime.now().timestamp()),
+    )
+
+
+@patch("openai.resources.chat.Completions.create")
+def test_Chatbot(openai_create):
+    at = AppTest.from_file("Chatbot.py").run()
+    assert not at.exception
+    at.chat_input[0].set_value("Do you know any jokes?").run()
+    assert at.info[0].value == "Please add your OpenAI API key to continue."
+
+    JOKE = "Why did the chicken cross the road? To get to the other side."
+    openai_create.return_value = create_chat_completion(JOKE)
+    at.text_input(key="chatbot_api_key").set_value("sk-...")
+    at.chat_input[0].set_value("Do you know any jokes?").run()
+    print(at)
+    assert at.chat_message[1].markdown[0].value == "Do you know any jokes?"
+    assert at.chat_message[2].markdown[0].value == JOKE
+    assert at.chat_message[2].avatar == "assistant"
+    assert not at.exception
+
+
+@patch("langchain.llms.OpenAI.__call__")
+def test_Langchain_Quickstart(langchain_llm):
+    at = AppTest.from_file("pages/3_Langchain_Quickstart.py").run()
+    assert at.info[0].value == "Please add your OpenAI API key to continue."
+
+    RESPONSE = "1. The best way to learn how to code is by practicing..."
+    langchain_llm.return_value = RESPONSE
+    at.sidebar.text_input[0].set_value("sk-...")
+    at.button[0].set_value(True).run()
+    print(at)
+    assert at.info[0].value == RESPONSE

ChatBot_UI/pages/1_Chat_History.py

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+import streamlit as st 
+
+st.header("Your previous chats will all appear here")

ChatBot_UI/requirements-dev.txt

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+black==23.3.0
+mypy==1.4.1
+pre-commit==3.3.3
+watchdog
+pytest

ChatBot_UI/requirements.txt

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+streamlit>=1.28
+langchain>=0.0.217
+openai>=1.2
+duckduckgo-search
+anthropic>=0.3.0
+trubrics>=1.4.3
+streamlit-feedback