File size: 4,840 Bytes
5c90aba
 
 
 
 
 
 
1184664
 
 
 
 
 
 
 
 
 
5c90aba
bdd660d
 
 
 
 
7e2719d
58e4560
 
 
bdd660d
58e4560
 
 
 
 
5c90aba
58e4560
 
 
 
 
 
5c90aba
 
0045bd6
5c90aba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
75f7be4
5c90aba
 
 
 
 
 
 
71eb1e0
0045bd6
5c90aba
 
 
 
 
1e3f2e6
53fe7f9
1e3f2e6
 
6531b64
 
 
 
0045bd6
 
 
 
 
 
 
de7122c
 
 
 
 
 
 
 
1e3f2e6
 
38b2665
0045bd6
1e3f2e6
0045bd6
bdd660d
7b32f49
 
bdd660d
 
 
 
 
 
 
 
 
 
 
 
 
 
15d2f8d
bdd660d
0045bd6
bdd660d
 
 
 
0045bd6
bdd660d
 
 
 
 
 
5c90aba
 
 
 
 
 
 
 
f2c5032
5c90aba
 
bdd660d
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
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 = "<s>"
    
    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "
    '''
    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,health,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
    history1=history
    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:
        history1 = compress_history(str(history), temperature, max_new_tokens, top_p, repetition_penalty)
    formatted_prompt = format_prompt(f"{GAME_MASTER.format(history=history1,health=health)}, {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("Health: "):
            try:
                new_health = line.split("Health: ")[1]
                health+=int(new_health)
                print(health)
            except Exception as e:
                print (f'{health}--Error :: {e}')
        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))
        yield "",history,health
    else:
        yield "",[(prompt,output)],health

def clear_fn():
    return None,None
with gr.Blocks() as app:
    gr.HTML("""<center><h1>Mixtral 8x7B RPG</h1><h3>Role Playing Game Master</h3>""")
    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()
    health=gr.Number(value=100)
    #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,health],[prompt,chatbot,health])
    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)
'''