bhargav-11/gpt-assistants-api-ui

💬 OpenAI Assistants API chat UI 🛠️ It works easily by setting the ASSISTANT ID 📁 Supports file upload and file download 🏃 Supports Streaming API 🪟 Support to Azure OpenAI

gpt-assistants-api-ui

• 💬 OpenAI Assistants API chat UI
• 🛠️ It works easily by setting the ASSISTANT ID
• 📁 Supports file upload and file download
• 🏃 Supports Streaming API
• 🪟 Support to Azure OpenAI
  • ※ Cannot be used until Azure OpenAI Service supports Streaming API

🌟 Quick Start

1. 👤 Create an assistant on the OpenAI site & Get assistant ID (https://platform.openai.com/assistants)

2. 🔑 Get the API key from OpenAI (https://platform.openai.com/api-keys)

3. ⬇️ Clone the repository

   $ git clone https://github.com/ryo-ma/gpt-assistants-api-ui.git

4. 📦 Install dependencies

   $ poetry install

5. 🔑 Set environment variables

   OPENAI_API_KEY="sk-xxx"
   ASSISTANT_ID="asst_xxx"
   
   ASSISTANT_TITLE="Assistants API UI"
   ENABLED_FILE_UPLOAD_MESSAGE="Upload a file" # Leave empty to disable
   
   AUTHENTICATION_REQUIRED="False" # Must change to True if you require authentication

   If you use azure instead, set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_KEY

6. 🔑 Set Authentication configuration (optional)

   To set up authentication, create a secrets file .streamlit/secrets.toml as below:

   [credentials]
   usernames = { jsmith = {failed_login_attempts = 0,  logged_in = false, name = "John Smith", password = "abc"}, rbriggs = {failed_login_attempts = 0,  logged_in = false, name = "R Briggs", password = "abc"}}
   
   [cookie]
   expiry_days = 30
   key = "some_signature_key"  # Must be string
   name = "some_cookie_name"

   Reference: Deploying Streamlit-Authenticator via Streamlit Community Cloud

7. 🏃‍️ Run the app

   $ poetry shell
   $ streamlit run app.py

🐳 Run the app using Docker

1. 👤 Create an assistant on the OpenAI site & Get assistant ID (https://platform.openai.com/assistants)

2. 🔑 Get the API key from OpenAI (https://platform.openai.com/api-keys)

3. ⬇️ Clone the repository

   $ git clone https://github.com/ryo-ma/gpt-assistants-api-ui.git

4. 🔑 Set environment variables

   Create a .env file.

   OPENAI_API_KEY="sk-xxx"
   ASSISTANT_ID="asst_xxx"
   
   ASSISTANT_TITLE="Assistants API UI"
   ENABLED_FILE_UPLOAD_MESSAGE="Upload a file" # Leave empty to disable
   
   AUTHENTICATION_REQUIRED="False" # Must change to True if you require authentication

   If you use Azure instead, set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_KEY

5. 🔑 Set Authentication configuration (optional)

   To set up authentication, create a secrets file .streamlit/secrets.toml as below:

   [credentials]
   usernames = { jsmith = {failed_login_attempts = 0,  logged_in = false, name = "John Smith", password = "abc"}, rbriggs = {failed_login_attempts = 0,  logged_in = false, name = "R Briggs", password = "abc"}}
   
   [cookie]
   expiry_days = 30
   key = "some_signature_key"  # Must be string
   name = "some_cookie_name"

   Reference: Deploying Streamlit-Authenticator via Streamlit Community Cloud

6. 💽 Build image

   $ docker compose build

7. 🏃‍️ Run the app

   $ docker compose up

Access to http://localhost:8501.

🌐 Deploy to Streamlit Cloud

You can fork this repository and deploy the app to https://share.streamlit.io/. No need to run the app on your local machine.

Don't forget to choose 3.10 as the Python version and set environment variables in the "Advanced settings" during deployment.

To use authentication with Streamlit Cloud, please use this TOML format:

# Environment variables
OPENAI_API_KEY="sk-xxx"
ASSISTANT_ID="asst_xxx"

ASSISTANT_TITLE="Assistants API UI"
ENABLED_FILE_UPLOAD_MESSAGE="Upload a file" # Leave empty to disable

AUTHENTICATION_REQUIRED="True"

# Authentication secrets
[credentials]
usernames = { jsmith = {failed_login_attempts = 0,  logged_in = false, name = "John Smith", password = "abc"}, rbriggs = {failed_login_attempts = 0,  logged_in = false, name = "R Briggs", password = "abc"}}

[cookie]
expiry_days = 30
key = "some_signature_key"  # Must be string
name = "some_cookie_name"