File size: 3,627 Bytes
e662df9
 
 
 
 
 
1fd4dc6
e662df9
d8e827d
 
e662df9
 
 
 
 
 
 
1586c56
 
9843dcc
ac51a1c
e662df9
 
ac51a1c
9843dcc
e662df9
 
 
 
 
 
 
 
 
 
 
d3cd834
e662df9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import logging
import os

import streamlit as st
import torch
from dotenv import load_dotenv
from transformers import AutoModelForCausalLM, AutoTokenizer

from hangman import guess_letter
from hf_utils import query_hint, query_word


CONFIGS_PATH = "configs.yaml"
MAX_TRIES = 6
CATEGORIES = ["Country", "Animal", "Food", "Movie"]

configs = {
    "os_model": "google/gemma-2b-it",
    "device": "cpu",
    "generation_config": {
        "max_output_tokens": 128,
        "temperature": 1,
        "top_p": 1,
        "top_k": 4,
    },
}


@st.cache_resource()
def setup(model_id: str, device: str) -> None:
    """Initializes the model and tokenizer.

    Args:
        model_id (str): Model ID used to load the tokenizer and model.
    """
    logger.info(f"Loading model and tokenizer from model: '{model_id}'")

    tokenizer = AutoTokenizer.from_pretrained(
        model_id,
        token=os.environ["HF_ACCESS_TOKEN"],
    )
    model = AutoModelForCausalLM.from_pretrained(
        model_id,
        torch_dtype=torch.float16,
        token=os.environ["HF_ACCESS_TOKEN"],
    ).to(device)
    logger.info("Setup finished")
    return {"tokenizer": tokenizer, "model": model}


logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__file__)

st.set_page_config(
    page_title="Gemma Hangman",
    page_icon="🧩",
)

load_dotenv()
assets = setup(configs["os_model"], configs["device"])

tokenizer = assets["tokenizer"]
model = assets["model"]

if not st.session_state:
    st.session_state["word"] = ""
    st.session_state["hint"] = ""
    st.session_state["hangman"] = ""
    st.session_state["missed_letters"] = []
    st.session_state["correct_letters"] = []

st.title("Gemini Hangman")

st.markdown("## Guess the word based on a hint")

col1, col2 = st.columns(2)

with col1:
    category = st.selectbox(
        "Choose a category",
        CATEGORIES,
    )

with col2:
    start_btn = st.button("Start game")
    reset_btn = st.button("Reset game")

if start_btn:
    st.session_state["word"] = query_word(
        category,
        model,
        tokenizer,
        configs["generation_config"],
        configs["device"],
    )
    st.session_state["hint"] = query_hint(
        st.session_state["word"],
        model,
        tokenizer,
        configs["generation_config"],
        configs["device"],
    )
    st.session_state["hangman"] = "_" * len(st.session_state["word"])
    st.session_state["missed_letters"] = []
    st.session_state["correct_letters"] = []

if reset_btn:
    st.session_state["word"] = ""
    st.session_state["hint"] = ""
    st.session_state["hangman"] = ""
    st.session_state["missed_letters"] = []
    st.session_state["correct_letters"] = []

st.markdown(
    """
    ## Guess the word based on a hint
    Note: you must input whitespaces and special characters.
    """
)

st.markdown(f'### Hint:\n{st.session_state["hint"]}')

col3, col4 = st.columns(2)

with col3:
    guess = st.text_input(label="Enter letter")
    guess_btn = st.button("Guess letter")

if guess_btn:
    st.session_state = guess_letter(guess, st.session_state)

with col4:
    hangman = st.text_input(
        label="Hangman",
        value=st.session_state["hangman"],
    )
    st.text_input(
        label=f"Missed letters (max  {MAX_TRIES} tries)",
        value=", ".join(st.session_state["missed_letters"]),
    )

if st.session_state["word"] == st.session_state["hangman"] != "":
    st.success("You won!")
    st.balloons()

if len(st.session_state["missed_letters"]) >= MAX_TRIES:
    st.error(f"""You lost, the correct word was '{st.session_state["word"]}'""")
    st.snow()