I made a project that uses AI and runs on a website for free. I made this project because I love coding, interested in AI, and I like to improve on my projects.

Supplies

Your computer, duh...
Ollama and Mu installed (which I'll show you how to)

Step 1: Install Ollama and Mu Editor (if You Haven't)

Ollama is a free (AI) that supports over 100 models. We're using gemma:2b created by Google and it's the fastest model. Mu Editor is a Python editor and it's a simple editor. Click here to download Ollama, click here to download Mu.

Step 2: Getting Ready

pip install gradio ollama webbrowser

Open Mu and press the REPL button. Wait until it says "In [1]:" then type this above. Go to Command Prompt app and say: "ollama pull gemma:2b".

Step 3: GradioWEB File

import gradio as gr

def greet(name):

return f"Hello, {name}!"

def run(function):

global demo

demo = gr.Interface(fn=function, inputs="text", outputs="text")

def execute():

demo.launch(server_port=8801, share=True) # ← This starts the app on port 8801

save this as gradioWEB.py

Step 4: Ollama File

# Write your code here :-)

import ollama

def ask(prompt):

response = ollama.chat(model="gemma:2b", messages=[

{"role": "user", "content": prompt}

])

return response['message']['content']

#while True:

#print(ask(input("es: ")))

save this as Ollama.py

Step 5: Main.py

# Write your code here :-)

import Ollama

import gradioWEB as gr

import webbrowser as w

def respond(userinput):

return Ollama.ask(userinput)

w.open("http://REPLACE_THIS_WITH_IP:8801/")

while True:

try:

gr.run(respond)

gr.execute()

except Exception:

pass

Save and run this code.

Step 6: Understand the Code

gradioWEB.py has gradio's functions, it makes it easier to use gradio. Ollama.py uses ollama AI Gemma:2b. Comment me if you have errors or more information about the code.

Step 7: Watch It Do!

you'll see userinput box and output. Type something in userinput and wait for result!

Introduction: AI Website Python (Windows 10 or More)