118 lines
4.2 KiB
Python
118 lines
4.2 KiB
Python
from .baseimage import BaseImageProvider
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import openai
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from openai import OpenAI
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import socket
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import os
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import json
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from gi.repository import Gtk, Adw, GLib
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class BaseOpenAIImageProvider(BaseImageProvider):
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model = None
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api_key_title = "API Key"
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def __init__(self, app, window):
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super().__init__(app, window)
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try:
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self.client = OpenAI(
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api_key=os.environ.get("OPENAI_API_KEY"),
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)
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except openai.OpenAIError:
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self.client = OpenAI(
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api_key="",
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)
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if self.data.get("api_key"):
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self.client.api_key = self.data["api_key"]
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if self.data.get("api_base"):
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self.client.base_url = self.data["api_base"]
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def ask(self, prompt, chat):
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if self.model:
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prompt = self.chunk(prompt)
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try:
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response = self.client.images.generate(
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model=self.model,
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prompt=prompt,
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size="1024x1024",
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quality="standard",
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n=1,
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)
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image_url = response.data[0].url
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image_bytes = requests.get(image_url).content
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except openai.AuthenticationError:
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return _("Your API key is invalid, please check your preferences.")
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except openai.BadRequestError:
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return _("You don't have access to this model, please check your plan and billing details.")
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except openai.RateLimitError:
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return _("You exceeded your current quota, please check your plan and billing details.")
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except openai.APIConnectionError:
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return _("I'm having trouble connecting to the API, please check your internet connection.")
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except socket.gaierror:
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return _("I'm having trouble connecting to the API, please check your internet connection.")
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else:
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if image_bytes:
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try:
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return Image.open(io.BytesIO(image_bytes))
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except UnidentifiedImageError:
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error = json.loads(image_bytes)["error"]
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return error
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else:
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return None
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else:
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return _("No model selected, you can choose one in preferences")
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def get_settings_rows(self):
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self.rows = []
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self.api_row = Adw.PasswordEntryRow()
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self.api_row.connect("apply", self.on_apply)
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self.api_row.props.text = self.client.api_key or ""
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self.api_row.props.title = self.api_key_title
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self.api_row.set_show_apply_button(True)
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self.api_row.add_suffix(self.how_to_get_a_token())
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self.rows.append(self.api_row)
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self.api_url_row = Adw.EntryRow()
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self.api_url_row.connect("apply", self.on_apply)
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self.api_url_row.props.text=str(self.client.base_url) or ""
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self.api_url_row.props.title = "API Url"
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self.api_url_row.set_show_apply_button(True)
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self.api_url_row.add_suffix(self.how_to_get_base_url())
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self.rows.append(self.api_url_row)
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return self.rows
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def on_apply(self, widget):
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api_key = self.api_row.get_text()
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self.client.api_key = api_key
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self.client.base_url = self.api_url_row.get_text()
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self.data["api_key"] = self.client.api_key
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self.data["api_base"] = str(self.client.base_url)
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def how_to_get_base_url(self):
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about_button = Gtk.Button()
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about_button.set_icon_name("dialog-information-symbolic")
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about_button.set_tooltip_text("How to choose base url")
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about_button.add_css_class("flat")
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about_button.set_valign(Gtk.Align.CENTER)
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about_button.connect("clicked", self.open_documentation)
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return about_button
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class DallE2(BaseOpenAIImageProvider):
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name = "DALL·E 2"
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model = "dall-e-2"
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description = "DALL·E is a AI system that can create realistic images and art from a description in natural language. "
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class DallE3(BaseOpenAIImageProvider):
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name = "DALL·E 3"
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model = "dall-e-3"
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description = "DALL·E is a AI system that can create realistic images and art from a description in natural language. " |