Spaces:
Sleeping
Sleeping
| import json | |
| import requests | |
| class llama3chat: | |
| def __init__(self, url, bearer_token, max_new_tokens,top_p,temperature): | |
| self.url = url | |
| self.bearer_token = bearer_token | |
| self.headers = { | |
| 'Content-Type': 'application/json', | |
| 'Authorization': f'Bearer {bearer_token}' | |
| } | |
| self.max_new_tokens=max_new_tokens | |
| self.top_p=top_p | |
| self.temperature=temperature | |
| def format_llama_messages(self, messages): | |
| prompt = [] | |
| if messages[0]["role"] == "system": | |
| content = "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n"+messages[0]["content"]+ "<|eot_id|>\n\n" | |
| prompt.append(content) | |
| for user, answer in zip(messages[1::2], messages[2::2]): | |
| prompt.append("<|start_header_id|>user<|end_header_id|>"+ (user["content"]).strip()+ "<|eot_id|><|start_header_id|>assistant<|end_header_id|>"+ (answer["content"]).strip()+ "<|eot_id|>") | |
| prompt.append("<|start_header_id|>user<|end_header_id|>"+ (messages[-1]["content"]).strip()+ "<|eot_id|>") | |
| return "".join(prompt) | |
| def query(self, all_messages): | |
| formatted_messages=self.format_llama_messages(all_messages) | |
| json_body = { | |
| "inputs": formatted_messages, | |
| "parameters": {"max_new_tokens":self.max_new_tokens, "top_p":self.top_p, "temperature":self.temperature} | |
| } | |
| data = json.dumps(json_body) | |
| response = requests.request("POST", self.url, headers=self.headers, data=data) | |
| try: | |
| result=json.loads(response.content.decode("utf-8"))[0]['generated_text'] | |
| target_substring = '|eot_id|>assistant' | |
| substring_length = len(target_substring) | |
| last_occurrence_index = result.rfind(target_substring) | |
| if last_occurrence_index != -1: | |
| return result[last_occurrence_index + substring_length:].strip() | |
| except: | |
| return response | |