Upload handler.py with huggingface_hub
Browse files- handler.py +83 -21
handler.py
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from typing import Dict, Any
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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from peft import PeftModel
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class EndpointHandler:
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def __init__(self, path: str = ""):
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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bnb_config = BitsAndBytesConfig(
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load_in_4bit=True,
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self.model = PeftModel.from_pretrained(self.model, path)
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self.model.eval()
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def
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if not
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You are an expert Minecraft Forge mod developer for version 1.21.11. Write clean, efficient, and well-structured Java code.
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### User:
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{inputs}
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### Assistant:
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"""
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else:
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prompt = inputs
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input_ids = self.tokenizer(prompt, return_tensors="pt").to(self.device)
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with torch.no_grad():
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outputs = self.model.generate(
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**input_ids,
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max_new_tokens=max_new_tokens,
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temperature=temperature,
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top_p=top_p,
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do_sample=
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pad_token_id=self.tokenizer.eos_token_id,
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)
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@@ -65,4 +72,59 @@ You are an expert Minecraft Forge mod developer for version 1.21.11. Write clean
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if "### Assistant:" in generated_text:
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generated_text = generated_text.split("### Assistant:")[-1].strip()
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return {"generated_text": generated_text}
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from typing import Dict, Any, List
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import torch
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import time
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import uuid
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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from peft import PeftModel
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DEFAULT_SYSTEM_PROMPT = "You are an expert Minecraft Forge mod developer for version 1.21.11. Write clean, efficient, and well-structured Java code."
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class EndpointHandler:
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def __init__(self, path: str = ""):
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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self.model_id = "hwding/forge-coder-v1.21.11"
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bnb_config = BitsAndBytesConfig(
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load_in_4bit=True,
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self.model = PeftModel.from_pretrained(self.model, path)
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self.model.eval()
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def _format_messages(self, messages: List[Dict[str, str]]) -> str:
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prompt_parts = []
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has_system = False
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for msg in messages:
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role = msg.get("role", "")
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content = msg.get("content", "")
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if role == "system":
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prompt_parts.append(f"### System:\n{content}")
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has_system = True
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elif role == "user":
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prompt_parts.append(f"### User:\n{content}")
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elif role == "assistant":
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prompt_parts.append(f"### Assistant:\n{content}")
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if not has_system:
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prompt_parts.insert(0, f"### System:\n{DEFAULT_SYSTEM_PROMPT}")
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prompt_parts.append("### Assistant:\n")
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return "\n\n".join(prompt_parts)
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def _generate(self, prompt: str, max_new_tokens: int, temperature: float, top_p: float) -> str:
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input_ids = self.tokenizer(prompt, return_tensors="pt").to(self.device)
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with torch.no_grad():
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outputs = self.model.generate(
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**input_ids,
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max_new_tokens=max_new_tokens,
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temperature=temperature if temperature > 0 else 1.0,
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top_p=top_p,
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do_sample=temperature > 0,
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pad_token_id=self.tokenizer.eos_token_id,
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)
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if "### Assistant:" in generated_text:
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generated_text = generated_text.split("### Assistant:")[-1].strip()
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return generated_text
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def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
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messages = data.get("messages")
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if messages:
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return self._handle_openai_format(data)
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return self._handle_simple_format(data)
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def _handle_openai_format(self, data: Dict[str, Any]) -> Dict[str, Any]:
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messages = data.get("messages", [])
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max_tokens = data.get("max_tokens", 512)
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temperature = data.get("temperature", 0.7)
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top_p = data.get("top_p", 0.95)
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prompt = self._format_messages(messages)
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generated_text = self._generate(prompt, max_tokens, temperature, top_p)
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prompt_tokens = len(self.tokenizer.encode(prompt))
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completion_tokens = len(self.tokenizer.encode(generated_text))
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return {
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"id": f"chatcmpl-{uuid.uuid4().hex[:8]}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": self.model_id,
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"choices": [{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": generated_text,
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},
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"finish_reason": "stop",
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}],
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"usage": {
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"prompt_tokens": prompt_tokens,
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"completion_tokens": completion_tokens,
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"total_tokens": prompt_tokens + completion_tokens,
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}
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}
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def _handle_simple_format(self, data: Dict[str, Any]) -> Dict[str, Any]:
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inputs = data.get("inputs", "")
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parameters = data.get("parameters", {})
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max_new_tokens = parameters.get("max_new_tokens", 512)
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temperature = parameters.get("temperature", 0.7)
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top_p = parameters.get("top_p", 0.95)
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if not inputs.startswith("### System:"):
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prompt = f"### System:\n{DEFAULT_SYSTEM_PROMPT}\n\n### User:\n{inputs}\n\n### Assistant:\n"
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else:
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prompt = inputs
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generated_text = self._generate(prompt, max_new_tokens, temperature, top_p)
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return {"generated_text": generated_text}
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