Mistral AI API Released. EASILY use Mistral's Latest Models Now! (Full Tutorial)

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👋 Hi everyone! In today's video, we're diving into the exciting world of the official Mistral AI API and its integration with Python applications. 🐍✨ From setting up API clients to creating a responsive user interface, this tutorial covers it all! 🖥️

🔑 Key Moments in the Video:
0:00 Introduction to Mistral API Clients
0:07 Interacting with Mistral Model
0:20 Creating a User Interface with Mistral API
0:26 Getting Started with Mistral API Integration
1:01 Writing Python Code for Mistral Integration
2:20 Generating Responses from Mistral Language Model
3:00 Streaming Responses in Python
3:30 Developing a User Interface for Mistral API
4:46 Final Overview of the UI with Mistral API

🌟 In this video, we'll learn how to integrate the Mistral API in our Python applications seamlessly. I'll take you through the process of API key generation, coding in Python, and setting up a dynamic user interface. This integration enables us to tap into the power of Mistral's language model directly from our Python apps.

💡 What You'll Learn:
Setting up Mistral AI API clients
Generating and using API keys
Coding in Python for Mistral integration
Creating and streaming responses from Mistral language model
Building and launching a user-friendly interface
📚 This tutorial is perfect for Python enthusiasts and AI developers looking to expand their skills. Don't forget to subscribe for more videos on Artificial Intelligence and stay updated! 👉 SUBSCRIBE NOW

🔗 Links:

👍 If you find this video helpful, please like, share, and subscribe for more content on AI and Python development. Thanks for watching Mistral AI API Tutorial!

In this video, we'll explore the incredible Mistral API clients that allow us to interact with the Mistral model without any installation hassle. We'll learn how to integrate the Mistral API into our applications and even create a user interface for seamless communication with the Mistral large language model. Get ready for an exciting demonstration!

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Thanks @mervin
When we use API, does it mean our data will be transferred to them? Does it keep our data safe? Please advise

alecd
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Was waitlisted... Should I have used a VPN to signup ? If so from where? Also you didn't mention pricing.. is it cheaper/better then oai3.5 ? Thanks 🙏

fire
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Yeah! API (Part One) is done! Great! Next time: The same but local with API over LLM-Studio? It‘s fantastic!

MeinDeutschkurs
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Please make ChatGPT like user interface (UI) to remember chat history and context.

SanataniAryavrat
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damn i got waitlisted:( how did you get access?

asdasdaa
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i havent even installed conda.., and what about the price for usage..? subscribtion..?

unimposings
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Finally, I saw how to turn the terminal chat into a web UI 😁

HyperUpscale
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Can you do a video using this with Task Weaver?

niapoced
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Genius Man!!
👏 there are some 'error' in code though: here is the correct code snippet
""""
iface = gr.Interface(
fn=chat_with_mistral,
Your Message"),
Response"),
title="Mistral AI Chatbot",
description="Interact with Mistral API via this chat interface",
allow_flagging="never"
)

sougatabh
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Can it be used with a fine tuned mistral?

ckziqfi
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Hey im having this issue its saying that conda is invalid and create is invalid

franciscox
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now we have openai ang ai google, so why should use this llm api ??

kamalkamals
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can you reate how we can use this mistral api in autogen and open interpreter.

sahil-shegokar
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Hey Mervin! Congrats, this was an awesome content my friend! Please consider making a video tutorial on Mixtral and Flowise.

Andersonrpbr
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When will we start doing something for people and not for ourselves? When will there be lessons, when will it all be posted on the website. Why do we continue to do this locally? We've already seen that this is all cool and cool, let's do it all online. Thank you for your lessons, I always watch them, but the lessons about the inner kitchen are starting to get a little boring for me. Let's do this for the people, not for us developers. Using this tutorial as an example, we will present the client with this window divided into two parts; the client does not need this. This should be either in the phone app or on the website.

PubgSpeed-wlyo