Update app.py
Browse files
app.py
CHANGED
|
@@ -1,6 +1,5 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
-
from gradio import Interface
|
| 3 |
-
from gradio.components import Textbox, Dropdown
|
| 4 |
|
| 5 |
import spacy
|
| 6 |
from transformers import GPT2LMHeadModel, GPT2Tokenizer
|
|
@@ -16,14 +15,14 @@ pos_map = {
|
|
| 16 |
'art铆culo': 'DET'
|
| 17 |
}
|
| 18 |
|
| 19 |
-
def identify_pos(sentence):
|
| 20 |
doc = nlp(sentence)
|
| 21 |
pos_tags = [(token.text, token.pos_) for token in doc]
|
| 22 |
return pos_tags
|
| 23 |
|
| 24 |
-
def game_logic(sentence, user_word, user_pos):
|
| 25 |
correct_answers = identify_pos(sentence)
|
| 26 |
-
user_pos = pos_map
|
| 27 |
for word, pos in correct_answers:
|
| 28 |
if word == user_word:
|
| 29 |
if pos.lower() == user_pos.lower():
|
|
@@ -32,13 +31,13 @@ def game_logic(sentence, user_word, user_pos):
|
|
| 32 |
return False, f'Incorrecto. "{user_word}" no es un {user_pos}, es un {pos}.'
|
| 33 |
return False, f'La palabra "{user_word}" no se encuentra en la frase.'
|
| 34 |
|
| 35 |
-
def generate_hint(sentence, user_word, user_pos):
|
| 36 |
inputs = tokenizer.encode(f'Give a hint about the {user_pos} in the sentence "{sentence}"', return_tensors='pt')
|
| 37 |
outputs = model.generate(inputs, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2)
|
| 38 |
hint = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 39 |
return hint
|
| 40 |
|
| 41 |
-
def main(sentence, user_word, user_pos):
|
| 42 |
if sentence and user_word and user_pos and user_pos != 'Selecciona una funci贸n gramatical...':
|
| 43 |
correct, message = game_logic(sentence, user_word, user_pos)
|
| 44 |
hint = generate_hint(sentence, user_word, user_pos)
|
|
@@ -48,9 +47,9 @@ def main(sentence, user_word, user_pos):
|
|
| 48 |
|
| 49 |
iface = Interface(fn=main,
|
| 50 |
inputs=[
|
| 51 |
-
Textbox(lines=2, placeholder='Introduce una frase aqu铆...'),
|
| 52 |
-
Textbox(lines=1, placeholder='Introduce una palabra aqu铆...'),
|
| 53 |
-
Dropdown(choices=['Selecciona una funci贸n gramatical...', 'sustantivo', 'verbo', 'adjetivo', 'art铆culo'])
|
| 54 |
],
|
| 55 |
-
outputs=[Textbox(), Textbox()])
|
| 56 |
iface.launch()
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
+
from gradio import Interface, inputs, outputs
|
|
|
|
| 3 |
|
| 4 |
import spacy
|
| 5 |
from transformers import GPT2LMHeadModel, GPT2Tokenizer
|
|
|
|
| 15 |
'art铆culo': 'DET'
|
| 16 |
}
|
| 17 |
|
| 18 |
+
def identify_pos(sentence: str):
|
| 19 |
doc = nlp(sentence)
|
| 20 |
pos_tags = [(token.text, token.pos_) for token in doc]
|
| 21 |
return pos_tags
|
| 22 |
|
| 23 |
+
def game_logic(sentence: str, user_word: str, user_pos: str):
|
| 24 |
correct_answers = identify_pos(sentence)
|
| 25 |
+
user_pos = pos_map.get(user_pos.lower(), '')
|
| 26 |
for word, pos in correct_answers:
|
| 27 |
if word == user_word:
|
| 28 |
if pos.lower() == user_pos.lower():
|
|
|
|
| 31 |
return False, f'Incorrecto. "{user_word}" no es un {user_pos}, es un {pos}.'
|
| 32 |
return False, f'La palabra "{user_word}" no se encuentra en la frase.'
|
| 33 |
|
| 34 |
+
def generate_hint(sentence: str, user_word: str, user_pos: str):
|
| 35 |
inputs = tokenizer.encode(f'Give a hint about the {user_pos} in the sentence "{sentence}"', return_tensors='pt')
|
| 36 |
outputs = model.generate(inputs, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2)
|
| 37 |
hint = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 38 |
return hint
|
| 39 |
|
| 40 |
+
def main(sentence: str, user_word: str, user_pos: str):
|
| 41 |
if sentence and user_word and user_pos and user_pos != 'Selecciona una funci贸n gramatical...':
|
| 42 |
correct, message = game_logic(sentence, user_word, user_pos)
|
| 43 |
hint = generate_hint(sentence, user_word, user_pos)
|
|
|
|
| 47 |
|
| 48 |
iface = Interface(fn=main,
|
| 49 |
inputs=[
|
| 50 |
+
inputs.Textbox(lines=2, placeholder='Introduce una frase aqu铆...'),
|
| 51 |
+
inputs.Textbox(lines=1, placeholder='Introduce una palabra aqu铆...'),
|
| 52 |
+
inputs.Dropdown(choices=['Selecciona una funci贸n gramatical...', 'sustantivo', 'verbo', 'adjetivo', 'art铆culo'])
|
| 53 |
],
|
| 54 |
+
outputs=[outputs.Textbox(), outputs.Textbox()])
|
| 55 |
iface.launch()
|