feat: embedchain cookbook

embedchain-qa/app.py

@@ -0,0 +1,38 @@
+import os
+
+import chainlit as cl
+
+from embedchain import App
+
+os.environ["OPENAI_API_KEY"] = "OPENAI_API_KEY"
+
+
+@cl.on_chat_start
+async def on_chat_start():
+    app = App.from_config(
+        config={
+            "app": {"config": {"name": "chainlit-app"}},
+            "llm": {
+                "config": {
+                    "stream": True,
+                    "model": "gpt-3.5-turbo-16k",
+                    "temperature": 0.5,
+                    "max_tokens": 4000,
+                }
+            },
+        }
+    )
+    # import your data here
+    app.add("https://docs.chainlit.io/",data_type="docs_site")
+    app.collect_metrics = True
+    cl.user_session.set("app", app)
+
+
+@cl.on_message
+async def on_message(message: cl.Message):
+    app = cl.user_session.get("app")
+    msg = cl.Message(content="")
+    for chunk in await cl.make_async(app.chat)(message.content):
+        await msg.stream_token(chunk)
+
+    await msg.send()

embedchain-qa/chainlit.md

@@ -0,0 +1,14 @@
+# Welcome to Chainlit! 🚀🤖
+
+Hi there, Developer! 👋 We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
+
+## Useful Links 🔗
+
+- **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) 📚
+- **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/k73SQ3FyUh) to ask questions, share your projects, and connect with other developers! 💬
+
+We can't wait to see what you create with Chainlit! Happy coding! 💻😊
+
+## Welcome screen
+
+To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.

embedchain-qa/readme.md

@@ -0,0 +1,27 @@
+# Chainlit App
+
+## Overview
+
+This cookbooks contains a Chainlit app that uses the `embedchain-qa` model to answer questions based on a given context. The app is built using the Chainlit SDK and can be integrated into your existing Python codebase. 
+
+
+## Installation
+
+To get started with this Chainlit app, you will need Python installed on your system. Follow these steps:
+
+1. Clone the repository: `git clone https://github.com/Chainlit/cookbook/{cookbook-name}`
+
+2. Navigate to the `chainlit-cookbook/{cookbook-name}` directory.
+
+3. perform the following command to install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+4. Run the app using the following command:
+
+```bash
+chainlit run app.py
+```
+Make sure to add your openai API key to the `app.py` file before running the app.