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Merge pull request 'main' (#59) from React-Group/interstellar_ai:main into main

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Reviewed-on: https://interstellardevelopment.org/code/code/YasinOnm08/interstellar_ai/pulls/59
This commit is contained in:
YasinOnm08 2024-10-10 10:37:26 +02:00
commit 1e4dda33ad
5 changed files with 79 additions and 185 deletions
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203
app/components/Models.tsx
View file

@ -1,8 +1,21 @@
"use client";
import React, { useState, useEffect } from 'react';
// Define all models that should be available.
const modelList = {
// Define the types for ModelType and ModelListType
type ModelType = {
model_type: string;
Math: string;
Code: string;
Language: string;
Weather: string;
};
type ModelListType = {
[key: string]: ModelType;
};
// Define the AI models list
const modelList: ModelListType = {
'Offline Fast': {
model_type: 'local',
Math: 'qwen2-math:1.5b',
@ -86,161 +99,47 @@ const modelList = {
Code: 'open-codestral-mamba',
Language: 'open-mistral-nemo',
Weather: 'open-mistral-nemo',
}
}
// Define the available selectedAIFunction options
const modelDropdown = {
offlineNonFoss: ['Offline Fast', 'Offline Slow'],
offlineFoss: ['Offline Fast (FOSS)', 'Offline Slow (FOSS)'],
onlineNonFoss: [
'Online Cheap (OpenAI)',
'Online Expensive (OpenAI)',
'Online Cheap (Anthropic)',
'Online Expensive (Anthropic)',
'Online Cheap (Google)',
'Online Expensive (Google)',
'Online (La Plateforme)'
],
onlineFoss: ['Online (FOSS) (La Plateforme)'],
},
};
const selectedAIFunction = [
'Code',
'Math',
'Language',
'Weather'
]
// AI Functions list
const aiFunctions = ['Math', 'Code', 'Language', 'Weather'] as const;
type AIFunction = typeof aiFunctions[number]; // Restrict to these exact function names
const ModelSection: React.FC = () => {
// Initialize state with value from localStorage or default to ''
const [selectedModelDropdown, setSelectedModelDropdown] = useState('');
const [radioSelection, setRadioSelection] = useState<string | null>("")
const [activeSelectedAIFunction, setActiveSelectedAIFunction] = useState('');
const [currentSelectedAIFunction, setCurrentSelectedAIFunction] = useState<string | null>("");
const [isOpenSourceMode, setIsOpenSourceMode] = useState<string|null>("false")
const [selectedModelDropdown, setSelectedModelDropdown] = useState(() => "Offline Fast");
const [activeSelectedAIFunction, setActiveSelectedAIFunction] = useState(() => "Code");
const [, setSelectedModel] = useState<string>("");
const [, setSelectedModelType] = useState<string>("");
useEffect(() => {
if (typeof localStorage !== 'undefined') {
const defaultValues = {
selectedModelDropdown: 'Offline Fast',
activeSelectedAIFunction: 'Code',
model: 'starcoder2',
radioSelection: 'None',
type: 'local',
};
Object.entries(defaultValues).forEach(([key, value]) => {
if (!localStorage.getItem(key)) {
localStorage.setItem(key, value);
}
});
setIsOpenSourceMode(localStorage.getItem("openSourceMode"));
setActiveSelectedAIFunction(localStorage.getItem("activeSelectedAIFunction") || '');
setRadioSelection(localStorage.getItem("radioSelection") || '');
setSelectedModelDropdown(localStorage.getItem('selectedModelDropdown') || '');
const handleStorageChange = () => {
setSelectedModelDropdown(localStorage.getItem('selectedModelDropdown') || '');
};
// Update immediately when localStorage changes
window.addEventListener('storage', handleStorageChange);
// Cleanup listener on component unmount
return () => {
window.removeEventListener('storage', handleStorageChange);
};
}
setSelectedModelDropdown(localStorage.getItem("selectedModelDropdown")|| "Offline Fast");
setActiveSelectedAIFunction(localStorage.getItem("activeSelectedAIFunction") || "Code");
}, []);
// Update the model and type when the dropdown or function changes
useEffect(() => {
if (typeof localStorage !== 'undefined') {
const storedActiveSelectedAIFunction = localStorage.getItem("activeSelectedAIFunction") || "";
if (storedActiveSelectedAIFunction !== currentSelectedAIFunction) {
setCurrentSelectedAIFunction(storedActiveSelectedAIFunction);
}
}
}, [activeSelectedAIFunction]);
const aiFunctionsActiveSelectedAIFunction = activeSelectedAIFunction as AIFunction
const newSelectedModel = modelList[selectedModelDropdown]?.[aiFunctionsActiveSelectedAIFunction] || "";
const newModelType = modelList[selectedModelDropdown]?.model_type || "";
setSelectedModel(newSelectedModel);
setSelectedModelType(newModelType);
localStorage.setItem("model", newSelectedModel);
localStorage.setItem("type", newModelType);
}, [selectedModelDropdown, activeSelectedAIFunction]);
const handleModelChange = (event: React.ChangeEvent<HTMLSelectElement>) => {
const newModel = event.target.value;
setSelectedModelDropdown(newModel);
if (typeof localStorage !== 'undefined') {
localStorage.setItem('selectedModelDropdown', newModel); // Update localStorage directly
const model = localStorage.getItem('activeSelectedAIFunction') || "Code"
modelClicked(model)
}
localStorage.setItem('selectedModelDropdown', newModel);
};
// Determine the filtered models based on current radioSelection
const filteredModels = (() => {
let models = [];
switch (radioSelection) {
case 'Offline':
models = [
...modelDropdown.onlineNonFoss,
...modelDropdown.onlineFoss,
];
if (isOpenSourceMode == "true") {
models = [
...modelDropdown.onlineFoss,
];
} // Show only offline models without FOSS
break;
case 'Online':
models = [
...modelDropdown.offlineNonFoss,
...modelDropdown.offlineFoss,
];
if (isOpenSourceMode == "true") {
models = [
...modelDropdown.offlineFoss,
];
} // Show only online models without FOSS
break;
case 'None':
models = [
...modelDropdown.offlineNonFoss,
...modelDropdown.offlineFoss,
...modelDropdown.onlineNonFoss,
...modelDropdown.onlineFoss,
];
if (isOpenSourceMode == "true") {
models = [
...modelDropdown.offlineFoss,
...modelDropdown.onlineFoss,
];
} // Show all models if nothing matches
break;
default:
models = [
...modelDropdown.offlineNonFoss,
...modelDropdown.offlineFoss,
...modelDropdown.onlineNonFoss,
...modelDropdown.onlineFoss,
]; // Show all models if nothing matches
break;
}
return Array.from(new Set(models)); // Remove duplicates using Set
})();
const isOfflineModel = (model: string) =>
modelDropdown.offlineNonFoss.includes(model) || modelDropdown.offlineFoss.includes(model);
const modelClicked = (model: string) => {
if (typeof localStorage !== 'undefined') {
localStorage.setItem('activeSelectedAIFunction', model)
setActiveSelectedAIFunction(model)
const modelDropdown = localStorage.getItem('selectedModelDropdown') || 'Offline Fast'
const selectedAIFunction = modelDropdown as keyof typeof modelList;
localStorage.setItem("model", modelList[selectedAIFunction][model as keyof typeof modelList[typeof selectedAIFunction]])
localStorage.setItem("type", modelList[selectedAIFunction]['model_type' as keyof typeof modelList[typeof selectedAIFunction]])
}
}
const modelClicked = (functionName: AIFunction) => {
setActiveSelectedAIFunction(functionName);
localStorage.setItem('activeSelectedAIFunction', functionName);
};
return (
<div className="model-background">
@ -249,33 +148,29 @@ const ModelSection: React.FC = () => {
<h3>Different AI Models</h3>
</div>
{/* Model Selection Dropdown */}
<div className="model-dropdown">
<label htmlFor="model-select">Select AI Model:</label>
<select id="model-select" value={selectedModelDropdown} onChange={handleModelChange}>
{filteredModels.map((model) => (
{Object.keys(modelList).map((model) => (
<option key={model} value={model}>
{model}
</option>
))}
</select>
</div>
{/* Model Grid with Cards */}
<div className="grid">
{selectedAIFunction.map(
(displayedCategory) => (
{aiFunctions.map((functionName) => (
<button
key={displayedCategory}
className={`${displayedCategory.toLowerCase()}-model model-box ${currentSelectedAIFunction === displayedCategory ? 'selected' : ''}`}
onClick={() => modelClicked(displayedCategory)}
key={functionName}
className={`${functionName.toLowerCase()}-model model-box ${activeSelectedAIFunction === functionName ? 'selected' : ''}`}
onClick={() => modelClicked(functionName)}
>
<div className="overlay">
<h3>{displayedCategory}</h3>
{isOfflineModel(selectedModelDropdown) && <img src="/img/nowifi.svg" alt="No Wi-Fi" />}
<h3>{functionName}</h3>
</div>
</button>
)
)}
))}
</div>
</div>
</div>

7
app/components/settings/Settings.tsx
View file

@ -12,9 +12,11 @@ import PrivacySettings from './PrivacySettings';
import FontSizeSetting from './FontSize';
import OpenSourceModeToggle from './OpenSourceToggle';
import {
changeHistory,
changeSettings,
createAccount,
deleteAccount,
getHistory,
} from '../../backend/database';
import ThemeDropdown from './DropDownTheme';
@ -372,7 +374,11 @@ const Settings: React.FC<{ closeSettings: () => void; accountName: string }> = (
localStorage.setItem("currentEmail", useEmail)
alert('Account successfully changed!')
window.location.reload()
} else {
alert("failed to send settings")
}
} else {
alert("failed to create account")
}
}
};
@ -624,6 +630,7 @@ const Settings: React.FC<{ closeSettings: () => void; accountName: string }> = (
onClick={handleLogout} // Function to call on click
className="update-credentials-button" // Custom styling class
/>
<p>WARNING: Will delete your chat history.</p>
<ButtonSetting
label="Update Credentials" // Button label
onClick={handleUpdateCredentials} // Function to call on click

4
app/styles/models.css
View file

@ -49,8 +49,8 @@
border-radius: 5%;
overflow: hidden;
position: relative;
height: 18vh;
width: 18vh;
height: 8vw;
width: 8vw;
margin: auto; /* Center each model box in the grid cell */
}
.model-box.selected {

4
app/styles/responsive.css
View file

@ -57,8 +57,8 @@
}
/* Model box styles */
.model-box {
max-width: none; /* Remove max-width */
margin: 0 auto; /* Center each model-box */
width: 50vw;
height: 50vw;
}
/* Input styles */
.input {

28
py/ai.py
View file

@ -20,34 +20,29 @@ class AI:
for chunk in stream:
with return_class.ai_response_lock:
return_class.ai_response[access_token] += chunk['message']['content']
return_class.ai_response[access_token] += chunk["message"]["content"]
@staticmethod
def process_mistralai(model, messages, return_class, access_token, api_key):
client = Mistral(api_key=api_key)
stream_response = client.chat.stream(
model=model,
messages=messages
)
stream_response = client.chat.stream(model=model, messages=messages)
with return_class.ai_response_lock:
return_class.ai_response[access_token] = ""
for chunk in stream_response:
with return_class.ai_response_lock:
return_class.ai_response[access_token] += chunk.data.choices[0].delta.content
return_class.ai_response[access_token] += chunk.data.choices[
0
].delta.content
@staticmethod
def process_openai(model, messages, return_class, access_token, api_key):
client = OpenAI(api_key=api_key)
stream_response = client.chat.completions.create(
model=model,
messages=messages,
stream=True
model=model, messages=messages, stream=True
)
with return_class.ai_response_lock:
@ -59,7 +54,6 @@ class AI:
@staticmethod
def process_anthropic(model, messages, return_class, access_token, api_key):
client = anthropic.Anthropic(api_key=api_key)
with return_class.ai_response_lock:
@ -76,16 +70,15 @@ class AI:
@staticmethod
def process_google(model, messages, return_class, access_token, api_key):
message = messages[-1]['content']
message = messages[-1]["content"]
messages.pop()
for msg in messages:
msg['parts'] = msg.pop('content')
msg["parts"] = msg.pop()["content"]
for msg in messages:
if msg['role'] == 'assistant':
msg['role'] = 'model'
if msg["role"] == "assistant":
msg["role"] = "model"
genai.configure(api_key=api_key)
@ -93,7 +86,6 @@ class AI:
chat = model.start_chat(
history=messages,
)
response = chat.send_message(message, stream=True)