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import os
import importlib
from flask import Flask, request, jsonify
import base64
from io import BytesIO
from PIL import Image
from g4f.cookies import set_cookies_dir, read_cookie_files
import g4f.debug
app = Flask(__name__)
# aktifkan debug log g4f
g4f.debug.logging = True
# atur dan baca cookies dari folder har_and_cookies
cookies_dir = os.path.join(os.path.dirname(__file__), "har_and_cookies")
set_cookies_dir(cookies_dir)
read_cookie_files(cookies_dir)
# fungsi untuk memuat model dari folder models atau models/visionmodels
def load_model(model_name, is_vision=False):
try:
module_path = f"models.visionmodels.{model_name}" if is_vision else f"models.{model_name}"
return importlib.import_module(module_path)
except ModuleNotFoundError:
return None
# konversi base64 image menjadi objek PIL image
def image_base64_to_pil(image_base64):
try:
if image_base64.startswith('data:image/jpeg;base64,'):
image_base64 = image_base64.replace('data:image/jpeg;base64,', '')
elif image_base64.startswith('data:image/png;base64,'):
image_base64 = image_base64.replace('data:image/png;base64,', '')
image_data = base64.b64decode(image_base64)
return Image.open(BytesIO(image_data))
except Exception:
return None
# endpoint untuk model teks
@app.route('/models/<model_name>', methods=['GET'])
def text_model_endpoint(model_name):
model_module = load_model(model_name)
if model_module is None:
return jsonify({"error": "model not found"}), 404
prompt = request.args.get('prompt', '')
# cek apakah model menggunakan g4f
if hasattr(model_module, "generate_response"):
response = model_module.generate_response(prompt)
else:
response = {"error": "invalid model implementation"}
return jsonify(response)
# endpoint untuk model vision
@app.route('/models/visionmodels/<model_name>', methods=['POST'])
def vision_model_endpoint(model_name):
prompt = request.json.get('prompt', '')
image_base64 = request.json.get('image_base64', '')
model_module = load_model(model_name, is_vision=True)
if model_module is None:
return jsonify({"error": "model not found"}), 404
if image_base64:
image = image_base64_to_pil(image_base64)
if not image:
return jsonify({"error": "invalid image data"}), 400
else:
image = None
# cek apakah model mendukung `generate_response`
if hasattr(model_module, "generate_response"):
response = model_module.generate_response(prompt, image_base64)
else:
response = {"error": "invalid model implementation"}
return jsonify(response)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860) |