Create ChatGLM4_API_Node

ChatGLM4_API_Node

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+import os
+import json
+import requests
+import time
+import jwt
+import re
+
+p = os.path.dirname(os.path.realpath(__file__))  
+
+
+def get_zpai_api_key():  
+    try:
+        config_path = os.path.join(p, 'config.json')  
+        with open(config_path, 'r') as f:
+            config = json.load(f)
+        api_key = config["Zpai_API_KEY"]  
+    except Exception as e:
+        raise Exception("Error: API key is required", e)
+    return api_key
+
+
+def generate_token(apikey_s: str, exp_second: int):
+    try:
+        id_t, secret = apikey_s.split(".")
+
+    except Exception as e:
+        raise Exception("invalid apikey", e)
+
+    payload = {
+        "api_key": id_t,
+        "exp": int(round(time.time() * 1000)) + exp_second * 1000,
+        "timestamp": int(round(time.time() * 1000)),
+    }
+    return jwt.encode(
+        payload,
+        secret,
+        algorithm="HS256",
+        headers={"alg": "HS256", "sign_type": "SIGN"},
+    )
+
+
+class ZhipuaiApi_Txt:  
+
+    def __init__(self):
+        self.api_key = get_zpai_api_key()
+        if self.api_key is not None:
+            client_key = self.api_key  
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "prompt": ("STRING", {"multiline": True, "default": "30 words describe a girl walking on the Moon."}),
+                "model_name": (["glm-4", "glm-3-turbo"],),
+            },
+        }
+
+    RETURN_TYPES = ("STRING",)  
+    RETURN_NAMES = ("text",)  
+    FUNCTION = "zhipuai_txt_api"  
+    CATEGORY = "ChatGlm_Api"  
+
+
+    def zhipuai_txt_api(self, prompt, model_name):
+        if not self.api_key:
+            raise ValueError("API key is required")
+        if prompt == None:
+            raise ValueError("need prompt")
+        else:
+            prompt_txt = 'in English'
+            prompt = ''.join([prompt, prompt_txt])
+            url = "https://open.bigmodel.cn/api/paas/v4/chat/completions"
+            exp_seconds = int(9)
+            client_key = str(get_zpai_api_key())
+            token = generate_token(apikey_s=client_key, exp_second=exp_seconds)
+            header_txt = {
+                'Authorization': f'Bearer {token}',
+                'Content-Type': 'application/json'
+            }
+            data_txt = {"model": f"{model_name}", "messages": [{"role": "user", "content": f"{prompt}"}]}
+            data_txt = json.dumps(data_txt)
+            response = requests.post(url=url, headers=header_txt, data=data_txt)
+            txt_content = response.json()
+            prompt_txt = txt_content.get("choices", 'Default Value')[0]
+            prompt_txt = prompt_txt.get("message", 'Default Value')
+            prompt_txt = prompt_txt.get("content", 'Default Value')
+            prompt = re.sub(r'\n+', '', prompt_txt)
+        return (prompt,)
+
+
+class ZhipuaiApi_Img:  
+
+    def __init__(self):
+        self.api_key = get_zpai_api_key()
+        if self.api_key is not None:
+            client_key = self.api_key  
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "prompt": ("STRING", {"default": "Describe this image", "multiline": True}),
+                "img_url": ("STRING", {"default": "https://", "multiline": True}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "zhipuai_img2txt_api"
+    CATEGORY = "ChatGlm_Api"
+
+    def zhipuai_img2txt_api(self, prompt, img_url):
+        if not self.api_key:
+            raise ValueError("API key is required")
+        if prompt == None:
+            raise ValueError("need prompt")
+        if img_url == None:
+            raise ValueError("Needs a Internet img url")
+        else:
+            prompt_img = 'in English'
+            prompt = ''.join([prompt, prompt_img])
+
+            url = "https://open.bigmodel.cn/api/paas/v4/chat/completions"
+
+            exp_seconds = int(9)
+
+            client_key = str(get_zpai_api_key())
+
+            token = generate_token(apikey_s=client_key, exp_second=exp_seconds)
+            url_img = f"{img_url}"
+            header_img = {
+                'Authorization': f'Bearer {token}',
+                'Content-Type': 'application/json'
+            }
+
+            data_img = {"model": "glm-4v", "messages": [{"role": "user",
+                                                         "content": [{"type": "text", "text": f"{prompt}"},
+                                                                     {"type": "image_url",
+                                                                      "image_url": {"url": f"{img_url}"}}]}]}
+            data_img = json.dumps(data_img)
+
+            response = requests.post(url=url, headers=header_img, data=data_img)
+
+            img_content = response.json()
+
+            content_img = img_content.get("choices", 'Default Value')[0]
+            content_img = content_img.get("message", 'Default Value')
+            content_img = content_img.get("content", 'Default Value')
+            prompt = re.sub(r'\n+', '', content_img)
+        return (prompt,)
+
+
+NODE_CLASS_MAPPINGS = {
+    "ZhipuaiApi_Txt": ZhipuaiApi_Txt,
+    "ZhipuaiApi_img": ZhipuaiApi_Img
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ZhipuaiApi_Txt": "ZhipuaiApi_Txt",
+    "ZhipuaiApi_Img": "ZhipuaiApi_Img"
+}