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| #!/usr/bin/env python | |
| import os | |
| from threading import Thread | |
| from typing import Iterator | |
| import gradio as gr | |
| import spaces | |
| import torch | |
| from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer | |
| from peft import PeftModel, PeftConfig | |
| DESCRIPTION = "This is a conversational interface powered by the MergeLlama-7b model, a finetune of CodeLlama-7b designed to assist developers in resolving merge conflicts in their code. " | |
| DESCRIPTION += "It leverages the capabilities of deep learning to provide suggestions for reconciling code differences, presenting potential resolutions for highlighted changes\n" | |
| DESCRIPTION += "The feedback from this space will help develop future versions including more powerful 13b and 34b versions." | |
| DESCRIPTION += "\n# How to use: \n" | |
| DESCRIPTION += "1. Input your merge conflict in the chat in the following format:\n```\n<<<<<<<\n[change]\n=======\n[base]\n>>>>>>>\n```\n" | |
| DESCRIPTION += "The model will generate the merge resolution. Context can be added before the conflict and multiple conflicts/resolutions can be chained together for context.\n" | |
| DESCRIPTION += "**Additional Information:**\n" | |
| DESCRIPTION += "- The model behind this tool is based on the MergeLlama dataset, which can be found [here](https://huggingface.co/datasets/codys12/MergeLlama).\n" | |
| DESCRIPTION += "- For more information about the MergeLlama-7b model, visit [here](https://huggingface.co/codys12/MergeLlama-7b).\n" | |
| DESCRIPTION += "- If you are interested in supporting the larger versions of this model, such as the 13b and 34b variants, you can check them out [here](https://www.dreamcatcher.co/ProjectPage?projectId=uibaxk4sfzetpkg7ch71ui).\n" | |
| DESCRIPTION += "- This model was trained on [DreamcatcherAI](https://www.dreamcatcher.co/Discover)\n" | |
| if not torch.cuda.is_available(): | |
| DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>" | |
| MAX_MAX_NEW_TOKENS = 2048 | |
| DEFAULT_MAX_NEW_TOKENS = 256 | |
| MAX_INPUT_TOKEN_LENGTH = 4096 | |
| if torch.cuda.is_available(): | |
| model_id = "codys12/MergeLlama-7b" | |
| model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, torch_dtype=torch.float16, device_map=0, cache_dir="/data") | |
| tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-7b-hf", trust_remote_code=True) | |
| tokenizer.pad_token = tokenizer.eos_token | |
| tokenizer.padding_side = "right" | |
| def generate( | |
| message: str, | |
| chat_history: list[tuple[str, str]], | |
| max_new_tokens: int = 1024, | |
| #temperature: float = 0.6, | |
| #top_p: float = 0.9, | |
| #top_k: int = 50, | |
| #repetition_penalty: float = 1.2, | |
| ) -> Iterator[str]: | |
| conversation = [] | |
| current_input = "" | |
| for user, assistant in chat_history: | |
| current_input += user | |
| current_input += assistant | |
| history = current_input | |
| current_input += message | |
| current_input += "\n" | |
| device = "cuda:0" | |
| input_ids = tokenizer(current_input, return_tensors="pt").input_ids.to(device) | |
| if len(input_ids) > MAX_INPUT_TOKEN_LENGTH: | |
| input_ids = input_ids[-MAX_INPUT_TOKEN_LENGTH:] | |
| gr.Warning("Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens.") | |
| streamer = TextIteratorStreamer(tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True) | |
| generate_kwargs = dict( | |
| {"input_ids": input_ids}, | |
| streamer=streamer, | |
| max_new_tokens=max_new_tokens, | |
| #do_sample=True, | |
| #top_p=top_p, | |
| #top_k=top_k, | |
| #temperature=temperature, | |
| #num_beams=1, | |
| #repetition_penalty=repetition_penalty, | |
| ) | |
| t = Thread(target=model.generate, kwargs=generate_kwargs) | |
| t.start() | |
| outputs = [] | |
| for text in streamer: | |
| outputs.append(text) | |
| combined_text = "".join(outputs) | |
| if "<<<<<<<" in combined_text: | |
| combined_text = combined_text.replace("<<<<<<<", "") # Remove the unwanted string | |
| yield combined_text | |
| break | |
| else: | |
| yield combined_text | |
| chat_interface = gr.ChatInterface( | |
| fn=generate, | |
| additional_inputs=[ | |
| gr.Slider( | |
| label="Max new tokens", | |
| minimum=1, | |
| maximum=MAX_MAX_NEW_TOKENS, | |
| step=1, | |
| value=DEFAULT_MAX_NEW_TOKENS, | |
| ), | |
| # gr.Slider( | |
| # label="Temperature", | |
| # minimum=0.1, | |
| # maximum=4.0, | |
| # step=0.1, | |
| # value=0.6, | |
| # ), | |
| # gr.Slider( | |
| # label="Top-p (nucleus sampling)", | |
| # minimum=0.05, | |
| # maximum=1.0, | |
| # step=0.05, | |
| # value=0.9, | |
| # ), | |
| # gr.Slider( | |
| # label="Top-k", | |
| # minimum=1, | |
| # maximum=1000, | |
| # step=1, | |
| # value=50, | |
| # ), | |
| # gr.Slider( | |
| # label="Repetition penalty", | |
| # minimum=0.1, | |
| # maximum=2.0, | |
| # step=0.05, | |
| # value=1.2, | |
| # ), | |
| ], | |
| stop_btn=None, | |
| examples=[ | |
| ["<<<<<<<\n var visibleSets = beatmapSets.Where(s => !s.Filtered).ToList();\n if (!visibleSets.Any())\n return;\n\n=======\n\n var visible = beatmapSets.Where(s => !s.Filtered).ToList();\n if (!visible.Any())\n return false;\n\n>>>>>>>"], | |
| ["<<<<<<<\n// Related to JDK7\nimport java.nio.channels.FileChannel;\n\n=======\n\n// Branch-dependent imports\nimport java.nio.channels.SeekableByteChannel;\n\n>>>>>>>"], | |
| ["<<<<<<<\n bind(BlobDirectoryAccess.class, DefaultBlobDirectoryAccess.class);\n\n=======\n\n bind(new TypeLiteral<UpdateStepRepositoryMetadataAccess<Path>>() {}).to(new TypeLiteral<MetadataStore>() {});\n\n>>>>>>>"], | |
| ], | |
| ) | |
| with gr.Blocks(css="style.css") as demo: | |
| gr.Markdown(DESCRIPTION) | |
| gr.DuplicateButton( | |
| value="Duplicate Space for private use", | |
| elem_id="duplicate-button", | |
| visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1", | |
| ) | |
| chat_interface.render() | |
| if __name__ == "__main__": | |
| demo.queue(max_size=20).launch() | |