app.py

from flask import Flask, request, jsonify, render_template
from huggingface_hub import InferenceClient
import os

# Initialize the Flask app
app = Flask(__name__)

# Initialize the Hugging Face Inference Client
client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")

@app.route("/")
def home():
    return HTML_TEMPLATE

function fetchMessageFromAI(message) {
    document.getElementById('typing-indicator').style.display = 'flex';

    fetch('/message', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
        },
        body: JSON.stringify({ text: message })
    })
    .then(response => {
        if (!response.ok) {
            throw new Error(`Server error: ${response.statusText}`);
        }
        return response.json();
    })
    .then(data => {
        document.getElementById('typing-indicator').style.display = 'none';

        if (data.response) {
            addAIResponse(data.response, message);
        } else {
            console.error("No response from the server.");
        }
    })
    .catch(error => {
        document.getElementById('typing-indicator').style.display = 'none';
        console.error('Error:', error);
        appendMessage("An error occurred. Please try again later.", 'ai');
    });
}


if __name__ == "__main__":
    # Use PORT environment variable or default to 7860
    port = int(os.getenv("PORT", 7860))
    app.run(host="0.0.0.0", port=port)