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from __future__ import annotations
import base64
import json
import logging
import os
import uuid
from io import BytesIO
import requests
from PIL import Image
from ..index_func import *
from ..presets import *
from ..utils import *
from .base_model import BaseLLMModel
class XMChat(BaseLLMModel):
def __init__(self, api_key, user_name=""):
super().__init__(model_name="xmchat", user=user_name)
self.api_key = api_key
self.session_id = None
self.reset()
self.image_bytes = None
self.image_path = None
self.xm_history = []
self.url = "https://xmbot.net/web"
self.last_conv_id = None
def reset(self, remain_system_prompt=False):
self.session_id = str(uuid.uuid4())
self.last_conv_id = None
return super().reset()
def image_to_base64(self, image_path):
# 打开并加载图片
img = Image.open(image_path)
# 获取图片的宽度和高度
width, height = img.size
# 计算压缩比例，以确保最长边小于4096像素
max_dimension = 2048
scale_ratio = min(max_dimension / width, max_dimension / height)
if scale_ratio < 1:
# 按压缩比例调整图片大小
new_width = int(width * scale_ratio)
new_height = int(height * scale_ratio)
img = img.resize((new_width, new_height), Image.LANCZOS)
# 将图片转换为jpg格式的二进制数据
buffer = BytesIO()
if img.mode == "RGBA":
img = img.convert("RGB")
img.save(buffer, format='JPEG')
binary_image = buffer.getvalue()
# 对二进制数据进行Base64编码
base64_image = base64.b64encode(binary_image).decode('utf-8')
return base64_image
def try_read_image(self, filepath):
def is_image_file(filepath):
# 判断文件是否为图片
valid_image_extensions = [
".jpg", ".jpeg", ".png", ".bmp", ".gif", ".tiff"]
file_extension = os.path.splitext(filepath)[1].lower()
return file_extension in valid_image_extensions
if is_image_file(filepath):
logging.info(f"读取图片文件: {filepath}")
self.image_bytes = self.image_to_base64(filepath)
self.image_path = filepath
else:
self.image_bytes = None
self.image_path = None
def like(self):
if self.last_conv_id is None:
return "点赞失败，你还没发送过消息"
data = {
"uuid": self.last_conv_id,
"appraise": "good"
}
requests.post(self.url, json=data)
return "👍点赞成功，感谢反馈～"
def dislike(self):
if self.last_conv_id is None:
return "点踩失败，你还没发送过消息"
data = {
"uuid": self.last_conv_id,
"appraise": "bad"
}
requests.post(self.url, json=data)
return "👎点踩成功，感谢反馈～"
def prepare_inputs(self, real_inputs, use_websearch, files, reply_language, chatbot):
fake_inputs = real_inputs
display_append = ""
limited_context = False
return limited_context, fake_inputs, display_append, real_inputs, chatbot
def handle_file_upload(self, files, chatbot, language):
"""if the model accepts multi modal input, implement this function"""
if files:
for file in files:
if file.name:
logging.info(f"尝试读取图像: {file.name}")
self.try_read_image(file.name)
if self.image_path is not None:
chatbot = chatbot + [((self.image_path,), None)]
if self.image_bytes is not None:
logging.info("使用图片作为输入")
# XMChat的一轮对话中实际上只能处理一张图片
self.reset()
conv_id = str(uuid.uuid4())
data = {
"user_id": self.api_key,
"session_id": self.session_id,
"uuid": conv_id,
"data_type": "imgbase64",
"data": self.image_bytes
}
response = requests.post(self.url, json=data)
response = json.loads(response.text)
logging.info(f"图片回复: {response['data']}")
return None, chatbot, None
def get_answer_at_once(self):
question = self.history[-1]["content"]
conv_id = str(uuid.uuid4())
self.last_conv_id = conv_id
data = {
"user_id": self.api_key,
"session_id": self.session_id,
"uuid": conv_id,
"data_type": "text",
"data": question
}
response = requests.post(self.url, json=data)
try:
response = json.loads(response.text)
return response["data"], len(response["data"])
except Exception as e:
return response.text, len(response.text)
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