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4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| c82f603d51 | |||
| 4f4d9af67d | |||
| 10469df5be | |||
| 8a9e57be76 |
@@ -1,8 +1,9 @@
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# A requirements file for the project.
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#
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# Run 'pip install -r requirements.txt' to install all required packages.
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# Run 'pip install -r smartassist/requirements_dev.txt ' to install all required packages.
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ollama
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Flask
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flask_cors
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requests
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@@ -2,15 +2,19 @@
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# Import the necessary functions from ollama, Flask, requests, threading
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from ollama import Client
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from flask import Flask, request, jsonify
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from flask_cors import CORS, cross_origin
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#import requests
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#import threading
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# Initialize a Flask application
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app = Flask(__name__)
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CORS(app)
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# @app.route('/api/chat', methods=['POST'])
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# @cross_origin(origin='http://localhost:8000', headers=['Content-Type']) # Allow cross-origin requests from localhost:8000
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@app.route('/api/chat', methods=['POST'])
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@cross_origin(origin='*', headers=['Content-Type']) # Enable CORS for this route. Probably not necessary.
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def chat():
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if request.method == 'POST':
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# Get the message from the JSON in the request body
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data = request.get_json()
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message = data.get('query')
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+47
-47
@@ -4,62 +4,62 @@ const chatbox = document.getElementById('chatbox');
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const userInput = document.getElementById('userInput');
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// Define a function to send the user's message to the AI
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// function sendMessage() {
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// // Get the user's input message and trim any whitespace
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// const message = userInput.value.trim();
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// // Check if the message is not empty
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// if (message !== '') {
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// // Send a POST request to the /api/chat endpoint with the message
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// fetch('/api/chat', {
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// method: 'POST',
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// headers: { 'Content-Type': 'application/json' },
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// body: JSON.stringify({ message }),
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// })
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// .then(response => response.json())
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// .then(data => {
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// // Get the AI's response from the API data
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// const aiResponse = data.response;
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// // Render the user's original message in the chatbox
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// renderMessage(message, 'user-message');
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// // Render the AI's response in the chatbox
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// renderMessage(aiResponse, 'ai-response');
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// // Clear the user input field for the next message
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// userInput.value = '';
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// })
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// .catch(error => console.error('Error sending message:', error));
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// }
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// }
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function sendMessage() {
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// Get the user's input message and trim any whitespace
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const message = userInput.value.trim();
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// Check if the message is not empty
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if (message !== '') {
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// Create a new XMLHttpRequest object
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const xhr = new XMLHttpRequest();
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// Send a POST request to the /api/chat endpoint with the message
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fetch('http://localhost:5000/api/chat', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ message }),
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})
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.then(response => response.json())
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.then(data => {
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// Get the AI's response from the API data
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const aiResponse = data.response;
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// Configure the request
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xhr.open('POST', '/api/chat'); // Set method to POST and URL
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xhr.setRequestHeader('Content-Type', 'application/json'); // Essential for sending JSON
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// Render the user's original message in the chatbox
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renderMessage(message, 'user-message');
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// Handle response data
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xhr.onload = function() {
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if (xhr.status >= 200 && xhr.status < 300) { // Successful response
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const data = JSON.parse(xhr.responseText);
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renderMessage(data.response, 'ai-response');
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// Render the AI's response in the chatbox
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renderMessage(aiResponse, 'ai-response');
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} else {
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console.error('Request failed. Status:', xhr.status);
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}
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};
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// Send the request
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xhr.send(JSON.stringify({ message }));
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// Clear the user input field for the next message
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userInput.value = '';
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})
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.catch(error => console.error('Error sending message:', error));
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}
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}
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// function sendMessage() {
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// const message = userInput.value.trim();
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// if (message !== '') {
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// // Create a new XMLHttpRequest object
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// const xhr = new XMLHttpRequest();
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// // Configure the request
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// xhr.open('POST', 'http://localhost:5000/api/chat'); // Set method to POST and URL
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// xhr.setRequestHeader('Content-Type', 'application/json'); // Essential for sending JSON
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// // Handle response data
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// xhr.onload = function() {
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// if (xhr.status >= 200 && xhr.status < 300) { // Successful response
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// const data = JSON.parse(xhr.responseText);
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// renderMessage(data.response, 'ai-response');
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// } else {
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// console.error('Request failed. Status:', xhr.status);
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// }
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// };
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// // Send the request
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// xhr.send(JSON.stringify({ message }));
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// }
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// }
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// Define a function to render a message in the chatbox with a specific class name
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function renderMessage(text, className) {
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@@ -37,6 +37,6 @@ def start_backend():
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print(f"Failed to start backend: {e}")
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if __name__ == '__main__':
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start_frontend()
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start_frontend() # No need for this as the backend starts a web server on its own.
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start_backend()
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