:gem: [Feature] New HuggingchatStreamer: get_conversation_id

constants/networks.py

@@ -0,0 +1,3 @@
+REQUESTS_HEADERS = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
+}

networks/huggingchat_streamer.py

@@ -0,0 +1,80 @@
+import json
+import re
+import requests
+
+
+from tclogger import logger
+from transformers import AutoTokenizer
+
+from constants.models import (
+    MODEL_MAP,
+    STOP_SEQUENCES_MAP,
+    TOKEN_LIMIT_MAP,
+    TOKEN_RESERVED,
+)
+from constants.envs import PROXIES
+from constants.networks import REQUESTS_HEADERS
+from messagers.message_outputer import OpenaiStreamOutputer
+
+
+class HuggingchatStreamer:
+    def __init__(self, model: str):
+        if model in MODEL_MAP.keys():
+            self.model = model
+        else:
+            self.model = "mixtral-8x7b"
+        self.model_fullname = MODEL_MAP[self.model]
+        self.message_outputer = OpenaiStreamOutputer(model=self.model)
+        # export HF_ENDPOINT=https://hf-mirror.com
+        self.tokenizer = AutoTokenizer.from_pretrained(self.model_fullname)
+
+    def count_tokens(self, text):
+        tokens = self.tokenizer.encode(text)
+        token_count = len(tokens)
+        logger.note(f"Prompt Token Count: {token_count}")
+        return token_count
+
+    def get_conversation_id(self, preprompt: str = ""):
+        request_url = "https://huggingface.co/chat/conversation"
+        request_body = {
+            "model": self.model_fullname,
+            "preprompt": preprompt,
+        }
+        logger.note(f"> Conversation ID:", end=" ")
+        res = requests.post(
+            request_url,
+            headers=REQUESTS_HEADERS,
+            json=request_body,
+            proxies=PROXIES,
+            timeout=10,
+        )
+        if res.status_code == 200:
+            conversation_id = res.json()["conversationId"]
+            logger.success(f"[{conversation_id}]")
+        else:
+            logger.warn(f"[{res.status_code}]")
+            raise ValueError("Failed to get conversation ID!")
+        self.conversation_id = conversation_id
+
+    def chat_response(
+        self,
+        prompt: str = None,
+        temperature: float = 0.5,
+        top_p: float = 0.95,
+        max_new_tokens: int = None,
+        api_key: str = None,
+        use_cache: bool = False,
+    ):
+        pass
+
+    def chat_return_dict(self, stream_response):
+        pass
+
+    def chat_return_generator(self, stream_response):
+        pass
+
+
+if __name__ == "__main__":
+    streamer = HuggingchatStreamer(model="mixtral-8x7b")
+    conversation_id = streamer.get_conversation_id()
+    # python -m networks.huggingchat_streamer