File size: 1,419 Bytes
b3523b4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
import os
from flask import Flask, request, render_template, redirect, url_for
from PIL import Image
import google.generativeai as genai
# Replace with your actual API key
GOOGLE_API_KEY = 'AIzaSyDDt5EWkmYlQTCJZfwNPizs0qZDFznSKVU'
# Configure the API key
genai.configure(api_key=GOOGLE_API_KEY)
# Select the model you want to use
model = genai.GenerativeModel('gemini-1.5-flash-latest')
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = 'uploads'
# Ensure the upload folder exists
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/upload', methods=['POST'])
def upload_file():
if 'file' not in request.files:
return redirect(request.url)
file = request.files['file']
if file.filename == '':
return redirect(request.url)
if file:
filepath = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
file.save(filepath)
img = Image.open(filepath)
# Generate content using the model
response = model.generate_content(["Give the equivalent XML for the UML diagram also take into account all attributes, classes, and functions", img], stream=True)
response.resolve()
return render_template('result.html', result=response.text)
if __name__ == '__main__':
app.run(debug=True)
|