How to Use the Gemini API with Python - Build a Customizable AI Chatbot
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- čas přidán 29. 06. 2024
- This is a step-by-step tutorial on using the Gemini AI API with Python. The video includes getting setup with Gemini, touring the playground and parameter selections and then building a customizable chatbot.
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Code on Github: github.com/adjdunn/Gemini-Pyt...
0:00 Intro & Setup
1:00 Playground
5:00 Create Chatbot
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tq sir it was good help to bulid my mini project for college
great video , thanks for this video
Thanks. Happy to hear it was useful.
How can we feed it our customised data so that it behaves based on the data and response accordingly
Thanks for the question. There are two main approaches you can take, depending on your goal. If you want the chatbot to respond using your custom knowledge base, you can include this information directly in your prompt. For a large knowledge base, you can use RAG (Retrieval-Augmented Generation) for unstructured data or Text-To-Query for structured data in a database. These methods help extract relevant data sections to include in your prompt.
If you want to control the chatbot’s response style, tone, or format, you can either add specific instructions in the prompt or fine-tune the model with your custom dataset. Each of these approaches could be a full tutorial on its own, and I'd be happy to create some of these videos in the future.
how can you change this to run as a google Cloud Run?
To run your chatbot on Google Cloud Run, you'll need to containerize your application using Docker, then deploy it. This involves creating a Dockerfile to package your code and dependencies, pushing the image to Google Container Registry, and deploying it via the Google Cloud Console. You can follow Google's Cloud Run quickstart guide (cloud.google.com/run/docs/quickstarts ) for detailed steps. If there's interest, I could create a detailed tutorial video on this process in the future.
@@aarondunn-zt7ev that would be great if you could make such a tutorial. I have tried to put it on cloud run but my understanding is lacking. I keep getting a "service Unavailable" message on my run url. Im also not sure if I need to get a secret key etc. (my program runs fine from the console, but fails from the cloud run url). Anyway, great tutorials and I have subscribed :)
How do I add germini with my Facebook page?
I don’t have any experience creating Facebook apps, but I can look to do some more research on it. From what I’ve discovered so far, to add a Gemini-powered chatbot to your Facebook page, you'll need to integrate it using Facebook Messenger's API. This involves setting up a Facebook Developer account, creating a Facebook app, and configuring a webhook to handle messages. You'd then connect the Gemini API to process and respond to these messages. It would be an interesting project and video!