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91 lines
3.9 KiB
91 lines
3.9 KiB
# -*- coding: utf-8 -*-
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################################################################################
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#
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# Cybrosys Technologies Pvt. Ltd.
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#
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# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>).
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# Author: LAJINA K V (odoo@cybrosys.com)
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#
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# You can modify it under the terms of the GNU AFFERO
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# GENERAL PUBLIC LICENSE (AGPL v3), Version 3.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU AFFERO GENERAL PUBLIC LICENSE (AGPL v3) for more details.
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#
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# You should have received a copy of the GNU AFFERO GENERAL PUBLIC LICENSE
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# (AGPL v3) along with this program.
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# If not, see <http://www.gnu.org/licenses/>.
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#
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################################################################################
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import json
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import base64
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import requests
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from requests.structures import CaseInsensitiveDict
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from odoo import fields, models
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from odoo.exceptions import ValidationError
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class ImageSuggestion(models.TransientModel):
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"""image for product from dalle"""
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_name = 'image.suggestion'
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_description = 'model for creation of dalle image'
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_rec_name = 'product_tmpl_id'
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image_prompt = fields.Char(string="Prompt for image",
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help="field to fill prompt", required=True)
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product_tmpl_id = fields.Many2one('product.template', string="Product",
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help="field to store product",
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required=True)
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num_image = fields.Integer(string="Number of image needed",
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help="field to store number of image",
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required=True,
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default=1)
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size_image = fields.Selection(
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[('256x256', '256x256'), ('512x512', '512x512')], string="Resolution",
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help="field to store image size", required=True)
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def action_search(self):
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"""Summary:
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Function to search image suggestion from dalle
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Returns:
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returns the created media image of corresponding product
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"""
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api_key = self.env['ir.config_parameter'].sudo().get_param(
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'openai_api_key')
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if not api_key:
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raise ValidationError("Please Enter Valid Open AI Key")
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headers = CaseInsensitiveDict()
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headers["Content-Type"] = "application/json"
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headers["Authorization"] = f"Bearer {api_key}"
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data = '{"model": "image-alpha-001",' \
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' "prompt": "' + self.image_prompt + '", "num_images": ' + \
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str(self.num_image) + ', "size": "' \
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+ self.size_image + '", "response_format": "url"}'
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resp = requests.post("https://api.openai.com/v1/images/generations",
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headers=headers, data=data)
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if resp.status_code != 200:
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raise ValidationError("Failed to generate image")
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response_text = json.loads(resp.text)
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for url in response_text['data']:
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image_url = url['url']
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# Get image data and encode it in base64
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image_resp = requests.get(image_url)
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if image_resp.status_code != 200:
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raise ValidationError("Failed to retrieve image")
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image_b64 = base64.b64encode(image_resp.content)
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# Store encoded image as binary field on model
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self.env['dalle.image.suggestion'].create(
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{'product_image': image_b64,
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'product_tmpl_id': self.product_tmpl_id.id, })
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return {
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'name': self.product_tmpl_id.name,
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'view_mode': 'tree,form',
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'res_model': 'dalle.image.suggestion',
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'type': 'ir.actions.act_window',
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'domain': [('product_tmpl_id', '=', self.product_tmpl_id.id)],
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'target': 'current',
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}
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