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| import gradio as gr | |
| import os | |
| from typing import List | |
| import logging | |
| import urllib.request | |
| from utils import model_name_mapping, urial_template, openai_base_request, DEFAULT_API_KEY | |
| from constant import js_code_label, HEADER_MD | |
| # add logging info to console | |
| logging.basicConfig(level=logging.INFO) | |
| URIAL_VERSION = "inst_1k_v4.help" | |
| URIAL_URL = f"https://raw.githubusercontent.com/Re-Align/URIAL/main/urial_prompts/{URIAL_VERSION}.txt" | |
| urial_prompt = urllib.request.urlopen(URIAL_URL).read().decode('utf-8') | |
| urial_prompt = urial_prompt.replace("```", '"""') # new version of URIAL uses """ instead of ``` | |
| STOP_STRS = ['"""', '# Query:', '# Answer:'] | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| rp, | |
| model_name, | |
| together_api_key | |
| ): | |
| global STOP_STRS, urial_prompt | |
| rp = 1.0 | |
| prompt = urial_template(urial_prompt, history, message) | |
| # _model_name = "meta-llama/Llama-3-8b-hf" | |
| _model_name = model_name_mapping(model_name) | |
| if together_api_key and len(together_api_key) == 64: | |
| api_key = together_api_key | |
| else: | |
| api_key = DEFAULT_API_KEY | |
| request = openai_base_request(prompt=prompt, model=_model_name, | |
| temperature=temperature, | |
| max_tokens=max_tokens, | |
| top_p=top_p, | |
| repetition_penalty=rp, | |
| stop=STOP_STRS, api_key=api_key) | |
| response = "" | |
| for msg in request: | |
| # print(msg.choices[0].delta.keys()) | |
| token = msg.choices[0].delta["content"] | |
| should_stop = False | |
| for _stop in STOP_STRS: | |
| if _stop in response + token: | |
| should_stop = True | |
| break | |
| if should_stop: | |
| break | |
| response += token | |
| if response.endswith('\n"'): | |
| response = response[:-1] | |
| elif response.endswith('\n""'): | |
| response = response[:-2] | |
| yield response | |
| with gr.Blocks(gr.themes.Soft(), js=js_code_label) as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown(HEADER_MD) | |
| model_name = gr.Radio(["Llama-3-8B", "Llama-3-70B", "Mistral-7B-v0.1", | |
| "Mixtral-8x22B", "Yi-6B", "Yi-34B", "Llama-2-7B", "Llama-2-70B", "OLMO"] | |
| , value="Llama-3-8B", label="Base LLM name") | |
| with gr.Column(): | |
| together_api_key = gr.Textbox(label="🔑 Together APIKey", placeholder="Enter your Together API Key. Leave it blank to use our key with limited usage.", type="password", elem_id="api_key") | |
| with gr.Column(): | |
| with gr.Row(): | |
| max_tokens = gr.Textbox(value=256, label="Max tokens") | |
| temperature = gr.Textbox(value=0.5, label="Temperature") | |
| top_p = gr.Textbox(value=0.9, label="Top-p") | |
| rp = gr.Textbox(value=1.1, label="Repetition penalty") | |
| chat = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[max_tokens, temperature, top_p, rp, model_name, together_api_key], | |
| # additional_inputs_accordion="⚙️ Parameters", | |
| # fill_height=True, | |
| ) | |
| chat.chatbot.height = 550 | |
| if __name__ == "__main__": | |
| demo.launch() |