Merlintxu commited on
Commit
6c338fd
·
1 Parent(s): 759fd36

Update app.py

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Files changed (1) hide show
  1. app.py +26 -30
app.py CHANGED
@@ -2,46 +2,42 @@
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  import gradio as gr
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  import spacy
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  from transformers import pipeline
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- from gradio import Interface
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- from gradio.components import Textbox, Dropdown
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  nlp = spacy.load('es_core_news_sm')
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  text_generator = pipeline('text-generation', model='gpt2')
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  pos_tags = ['ADJ', 'ADP', 'ADV', 'AUX', 'CONJ', 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']
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  sentence_state = {'sentence': '', 'tagged_words': []}
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- def generate_sentence():
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- result = text_generator('', max_length=10)[0] # Limiting max_length for simplicity
 
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  sentence = result['generated_text']
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- tagged_words = analyze_sentence(sentence)
 
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  sentence_state['sentence'] = sentence
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  sentence_state['tagged_words'] = tagged_words
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- return sentence, [word for word, _ in tagged_words]
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-
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- def analyze_sentence(sentence):
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- doc = nlp(sentence)
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- return [(token.text, token.pos_) for token in doc]
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- def check_answer(*args):
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- correct_answer = [tag for word, tag in sentence_state['tagged_words']]
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- user_answer = list(args)
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- if user_answer == correct_answer:
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- return 'Correcto!'
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  else:
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- return 'Incorrecto. La respuesta correcta es: ' + str(correct_answer)
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-
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- def game_flow(start_game):
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- if start_game == 'Start':
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- sentence, words = generate_sentence()
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- answer = check_answer(*gr.inputs)
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- return sentence, words, answer
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-
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- iface = Interface(fn=game_flow,
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- inputs=[Textbox(label='Type "Start" to generate sentence')] +
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- [Dropdown(choices=pos_tags, label=f'Word {i+1}') for i in range(10)], # Assumes sentences of 10 words
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- outputs=[Textbox(label='Sentence'),
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- Textbox(label='Words'),
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- Textbox(label='Result')])
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- iface.launch()
 
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  import gradio as gr
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  import spacy
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  from transformers import pipeline
 
 
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  nlp = spacy.load('es_core_news_sm')
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  text_generator = pipeline('text-generation', model='gpt2')
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  pos_tags = ['ADJ', 'ADP', 'ADV', 'AUX', 'CONJ', 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']
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+ # Store the sentence state globally
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  sentence_state = {'sentence': '', 'tagged_words': []}
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+ # Generate a sentence and analyze it
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+ def generate_and_analyze():
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+ result = text_generator('', max_length=10, do_sample=True, language='es')[0]
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  sentence = result['generated_text']
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+ doc = nlp(sentence)
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+ tagged_words = [(token.text, token.pos_) for token in doc]
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  sentence_state['sentence'] = sentence
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  sentence_state['tagged_words'] = tagged_words
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+ return sentence, tagged_words
 
 
 
 
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+ # The game logic
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+ def game_flow(start_game, *args):
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+ if start_game == 'Empezar':
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+ sentence, _ = generate_and_analyze()
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+ return sentence, '', ''
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  else:
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+ correct_answer = [tag for _, tag in sentence_state['tagged_words']]
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+ user_answer = list(args)
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+ if user_answer == correct_answer:
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+ return sentence_state['sentence'], ' '.join(sentence_state['tagged_words']), '¡Correcto!'
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+ else:
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+ return sentence_state['sentence'], ' '.join(sentence_state['tagged_words']), 'Incorrecto. La respuesta correcta es: ' + ' '.join(correct_answer)
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+
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+ iface = gr.Interface(fn=game_flow,
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+ inputs=[gr.inputs.Textbox(label='Escribe "Empezar" para generar una frase')] +
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+ [gr.inputs.Dropdown(choices=pos_tags, label=f'Palabra {i+1}') for i in range(5)],
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+ outputs=[gr.outputs.Textbox(label='Frase'),
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+ gr.outputs.Textbox(label='Palabras'),
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+ gr.outputs.Textbox(label='Resultado')])
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+ iface.launch()