Update chainlit.md
Browse files- chainlit.md +4 -1
chainlit.md
CHANGED
|
@@ -6,7 +6,9 @@
|
|
| 6 |
Squad AI is an innovative AI-powered platform designed to connect individuals with shared interests, goals, and hobbies, facilitating real-life connections. By leveraging advanced AI technologies and state-of-the-art development tools, Squad AI aims to revolutionize how people form meaningful relationships and pursue personal growth through shared activities.
|
| 7 |
|
| 8 |
Start by asking
|
| 9 |
-
- Anyone interested in cricket in Toronto? Provide more information about who is interested. Also get me some locations where I can play cricket in Toronto.
|
|
|
|
|
|
|
| 10 |
|
| 11 |
## Setup
|
| 12 |
|
|
@@ -15,6 +17,7 @@ Start by asking
|
|
| 15 |
Create a .env file in the project root directory with the necessary environmental variables:
|
| 16 |
- TAVILY_API_KEY
|
| 17 |
- OPENAI_API_KEY
|
|
|
|
| 18 |
|
| 19 |
Running the Application
|
| 20 |
Run the application by executing: chainlit run app.py --port 7680
|
|
|
|
| 6 |
Squad AI is an innovative AI-powered platform designed to connect individuals with shared interests, goals, and hobbies, facilitating real-life connections. By leveraging advanced AI technologies and state-of-the-art development tools, Squad AI aims to revolutionize how people form meaningful relationships and pursue personal growth through shared activities.
|
| 7 |
|
| 8 |
Start by asking
|
| 9 |
+
- Anyone interested in cricket in Toronto? Provide more information about who is interested. Also get me some locations where I can play cricket in Toronto.
|
| 10 |
+
- Anyone interested in pickleball in Toronto? Also find me some locations where I can play pickleball in Toronto.
|
| 11 |
+
|
| 12 |
|
| 13 |
## Setup
|
| 14 |
|
|
|
|
| 17 |
Create a .env file in the project root directory with the necessary environmental variables:
|
| 18 |
- TAVILY_API_KEY
|
| 19 |
- OPENAI_API_KEY
|
| 20 |
+
- LANGSCHAIN_API_KEY
|
| 21 |
|
| 22 |
Running the Application
|
| 23 |
Run the application by executing: chainlit run app.py --port 7680
|