from huggingface_hub import InferenceClient import gradio as gr import random client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") from prompts import GAME_MASTER, COMPRESS_HISTORY def format_prompt(message, history): prompt="" ''' prompt = "" for user_prompt, bot_response in history: prompt += f"[INST] {user_prompt} [/INST]" prompt += f" {bot_response} " ''' prompt += f"[INST] {message} [/INST]" return prompt temperature=0.9 top_p=0.95 repetition_penalty=1.0 def compress_history(history,temperature=temperature,top_p=top_p,repetition_penalty=repetition_penalty): formatted_prompt=f"{COMPRESS_HISTORY.format(history=history)}" generate_kwargs = dict( temperature=temperature, max_new_tokens=1024, top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=random.randint(1,99999999999) #seed=42, ) stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) output = "" for response in stream: output += response.token.text return output MAX_HISTORY=100 def generate(prompt, history,max_new_tokens,temperature=temperature,top_p=top_p,repetition_penalty=repetition_penalty): temperature = float(temperature) if temperature < 1e-2: temperature = 1e-2 top_p = float(top_p) generate_kwargs = dict( temperature=temperature, max_new_tokens=max_new_tokens, top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=random.randint(1,99999999999) #seed=42, ) cnt=0 for ea in history: print (ea) for l in ea: print (l) cnt+=len(l.split("\n")) print(f'cnt:: {cnt}') if cnt > MAX_HISTORY: history = compress_history(str(history), temperature, max_new_tokens, top_p, repetition_penalty) formatted_prompt = format_prompt(f"{GAME_MASTER.format(history=history)}, {prompt}", history) stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) output = "" for response in stream: output += response.token.text if history: yield "",[(prompt,output)] else: yield "",[(prompt,output)] lines = output.strip().strip("\n").split("\n") #history="" for i,line in enumerate(lines): if line.startswith("1. "): print(line) if line.startswith("2. "): print(line) if line.startswith("3. "): print(line) if line.startswith("4. "): print(line) if line.startswith("5. "): print(line) if history: history.append((prompt,output)) return "",history else: return "",[(prompt,output)] def clear_fn(): return None,None with gr.Blocks() as app: gr.HTML("""

Mixtral 8x7B RPG

Role Playing Game Master

""") chatbot = gr.Chatbot(label="Mixtral 8x7B Chatbot",show_copy_button=True) with gr.Row(): with gr.Column(scale=3): prompt=gr.Textbox(label = "Prompt") with gr.Column(scale=1): button=gr.Button() #models_dd=gr.Dropdown(choices=[m for m in return_list],interactive=True) with gr.Row(): stop_button=gr.Button("Stop") clear_btn = gr.Button("Clear") with gr.Row(): tokens = gr.Slider(label="Max new tokens",value=1048,minimum=0,maximum=1048*10,step=64,interactive=True,info="The maximum numbers of new tokens") json_out=gr.JSON() e_box=gr.Textbox() #text=gr.JSON() #inp_query.change(search_models,inp_query,models_dd) #test_b=test_btn.click(itt,url,e_box) clear_btn.click(clear_fn,None,[prompt,chatbot]) go=button.click(generate,[prompt,chatbot,tokens],[prompt,chatbot]) stop_button.click(None,None,None,cancels=[go]) app.launch(show_api=False) ''' examples=[["Start the Game", None, None, None, None, None, ], ["Start a Game based in the year 1322", None, None, None, None, None,], ] gr.ChatInterface( fn=generate, chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"), additional_inputs=additional_inputs, title="Mixtral RPG Game Master", examples=examples, concurrency_limit=20, ).launch(share=True,show_api=True) '''