gulraiznoorbari YouTube_Livestream_Chatbot: YouTube Live Stream Chat Bot implemented using YouTube Data & Live Streaming API in Python

Just like previously, we still require the same components to build our chatbot. Two chat message containers to display messages from the user and the bot, respectively. And a way to store the chat history so we can display it in the chat message containers. All that’s left to do is add the chatbot’s responses within the if block. We’ll use a list of responses and randomly select one to display.

Notice the message is displayed with a default avatar and styling since we passed in “user” as the author name. You can also pass in “assistant” as the author name to use a different default avatar and styling, or pass in a custom name and avatar. You can also pass in a custom string to use as the author name. Currently, the name is not shown in the UI but is only set as an accessibility label. Now that you’ve understood the basics of Streamlit’s chat elements, let’s make a few tweaks to it to build our own ChatGPT-like app.

We’ve also added a for loop to iterate through the response and display it one word at a time. We’ve added a delay of 0.05 seconds between each word to simulate the chatbot “thinking” before responding. As you’ve probably guessed, this is a naive implementation of streaming.

YouTube Live Stream Chatbot

You’ll need to install the OpenAI Python library and get an API key to follow along. This guide explains how to create a chatbot in Superblocks that streams messages back from OpenAI as they’re received in real time. Entirely customisable, it resonates with your style and remembers past interactions on premium plans.

We’ll see how to implement streaming with OpenAI in the next section. While the above example is very simple, it’s a good starting point for building more complex conversational apps. In the next section, we’ll add a delay to simulate the bot “thinking” before responding. In this section, we’ll build a bot that mirrors or echoes your input. More specifically, the bot will respond to your input with the same message. We’ll use st.chat_message to display the user’s input and st.chat_input to accept user input.

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Back to writing the response in our chat interface, we’ll use st.write_stream to write out the streamed response with a typewriter effect. Fully searchable chat logs are available, allowing you to find out why a message was deleted or a user was banned. Your Moobot can run giveaways, where your viewers participate directly from their Twitch chat.

Plus, with the “relate” feature, it crafts unique messages based on recent chats, ensuring lively and continuous engagement. It’s incredible to see such an approachable team that strive to take every single piece of feedback on board to improve the end users experience. Increase streaming chat bot engagement and reward loyalty by letting your viewers request which songs to play on stream. Your Moobot can make this a big encouragement for your viewers to follow or sub. Now let’s combine st.chat_message and st.chat_input to build a bot the mirrors or echoes your input.

For general concepts around streaming in Superblocks, see Streaming Applications. If you find any bug in the code or have any improvements in mind then feel free to generate a pull https://chat.openai.com/ request. We read every piece of feedback, and take your input very seriously. The amount of functionality provided for free led me to make it un-free by supporting them on Patreon.

Chat elements

Moobot can further encourage your viewers to sub by restricting it to sub-only, or increasing the win-chance of your Twitch subs. Your Moobot can plug your socials, keep your viewers up-to-date on your schedule, or anything else by automatically posting to your Twitch chat. Your Moobot has built-in Twitch commands which can tell your Twitch chat about your social media, sponsors, or anything else you don’t want to keep repeating. You can adjust your Moobot and dashboard to fit the needs of you, your Twitch mods, and your community on Twitch. Streamer.bot pushes the boundaries of what is possible with a livestream.

Now that you have some more information gathered, it’s time to connect the user to a real support agent. You can do this by adding a member to the conversation, and your support agent will be notified in real-time. To improve their productivity, you’ll want to leverage slash commands. The next step will show you how to create your slash command for managing tickets.

In this section, we’ll build a simple chatbot GUI that responds to user input with a random message from a list of pre-determind responses. In the next section, we’ll convert this simple toy example into a ChatGPT-like experience using OpenAI. We’ll use the same logic as before to display the bot’s response (which is just the user’s prompt) in the chat message container and add it to the history. Above, we’ve added a placeholder to display the chatbot’s response.

As an example let’s say that you want to build a chatbot that handles customer care for a bank. You’ll typically want to gather some data automatically before routing the request to a human. You can foun additiona information about ai customer service and artificial intelligence and NLP. To achieve that you would start by setting up a webhook (webhook docs). The webhook will be called whenever there is a new message on the channel. We’ll use the same code as before, but we’ll replace the list of responses with a call to the OpenAI API.

We’ll also add a few more tweaks to make the app more ChatGPT-like. Play around with the above demo to get a feel for what we’ve built. It’s a very simple chatbot GUI, but it has all the components of a more sophisticated chatbot. In the next section, we’ll see how to build a ChatGPT-like app using OpenAI.

The advent of large language models like GPT has revolutionized the ease of developing chat-based applications. Streamlit offers several Chat elements, enabling you to build Graphical User Interfaces (GUIs) for conversational agents or chatbots. Custom attachments can also be helpful when building chat bots. For example, you could create a custom attachment for allowing users to select a date. The React Chat tutorial shows an example of how to create a custom attachment. When the user submits their choice, the webhook endpoint will be called again.

• Your Moobot can plug your socials, keep your viewers up-to-date on your schedule, or anything else by automatically posting to your Twitch chat.
• We’ll also use session state to store the chat history so we can display it in the chat message container.
• In the next section, we’ll convert this simple toy example into a ChatGPT-like experience using OpenAI.
• And a way to store the chat history so we can display it in the chat message containers.

It allows viewers to interact with my stream while also allowing me to automate commands to make my life as a streamer way easier. Supporting video, audio, images and integrated with Giphy, it’s your one-stop for diverse and dynamic stream content. You can play around with the control panel and read up on how Nightbot works on the Nightbot Docs. Click the “Join Channel” button on your Nightbot dashboard and follow the on-screen instructions to mod Nightbot in your channel. Moobot can relax its auto moderation for your Twitch subs, give them extra votes in your polls, only allow your subs to access certain features, and much more.

We’ll also add a delay to simulate the chatbot “thinking” before responding (or stream its response). Let’s make a helper function for this and insert it at the top of our app. The only difference so far is we’ve changed the title of our app and added imports for random and time. We’ll use random to randomly select a Chat PG response from a list of responses and time to add a delay to simulate the chatbot “thinking” before responding. We’ve also added a check to see if the messages key is in st.session_state. This is because we’ll be adding messages to the list later on, and we don’t want to overwrite the list every time the app reruns.

We host your Moobot in our cloud servers, so it’s always there for you.You don’t have to worry about tech issues, backups, or downtime. Let’s just copy the code from the previous section and add a few tweaks to it. For an overview of the API, check out this video tutorial by Chanin Nantasenamat (@dataprofessor), a Senior Developer Advocate at Streamlit.

I absolutely would not be able to run my stream without Streamer.bot and Speaker.bot. Your account will be automatically tied to the account you log in with. Give your viewers dynamic responses to recurrent questions or share your promotional links without having to repeat yourself often. We allow you to fine tune each feature to behave exactly how you want it to.

We’ll also use session state to store the chat history so we can display it in the chat message container. Now let’s accept user input with st.chat_input, display the user’s message in the chat message container, and add it to the chat history. Streamlit offers several commands to help you build conversational apps. These chat elements are designed to be used in conjunction with each other, but you can also use them separately.