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azaninello
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84028a4
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Parent(s):
b7ad680
Update app.py
Browse files
app.py
CHANGED
@@ -1,5 +1,5 @@
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import gradio as gr
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import nltk
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import simplemma
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from nltk.tokenize import word_tokenize
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@@ -7,30 +7,62 @@ from nltk.tokenize import sent_tokenize
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from nltk.probability import FreqDist
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from simplemma import text_lemmatizer
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nltk.download('punkt')
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'''
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return f"""La parola da cercare è {cerca_una_parola}"""
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up = gr.Textbox()
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#number = gr.Number()
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b2.
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demo.launch()
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import gradio as gr
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import nltk
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import simplemma
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from nltk.tokenize import word_tokenize
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from nltk.probability import FreqDist
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from simplemma import text_lemmatizer
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nltk.download('punkt')
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file = "text.txt"
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def get_lists(file):
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with open(file, 'r', encoding='utf-8') as f:
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text = f.read()
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sent_tokenized_text = sent_tokenize(text, language='italian')
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sent_tokenized_text_lower = [sent.lower() for sent in sent_tokenized_text]
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return sent_tokenized_text, sent_tokenized_text_lower
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sentences, sentences_lower = get_lists(file)
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def search_engine(target):
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result = []
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for i,sent in enumerate(sentences_lower):
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if target.lower() in sent:
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result.append(sentences[i])
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return result
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def bot(result):
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if len(result) == 0:
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return f"Non ho trovato la parola '{target}' nei testi.\n"
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else:
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return (f"""Ho trovato {len(result)} {"frasi" if len(result) > 1 else "frase"} in cui è presente la parola {target}.\n""", result)
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def numerical(number):
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return int(number)
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def show_results(result, number):
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display = []
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try:
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for num,sent in enumerate(result[1][:int(number)]):
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display.append(f"{num+1}: {sent}\n")
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return display
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except:
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for num,sent in enumerate(result):
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display.append(f"{num+1}: {sent}")
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return display
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demo = gr.Blocks()
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with demo:
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target = gr.Textbox()
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b1 = gr.Button("Inserisci la parola da cercare")
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result = search_engine(target)
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b1.click(bot, inputs=result, outputs='text')
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number = numerical(gr.Textbox())
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b2 = gr.Button("Quanti esempi vuoi vedere?")
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b2.click(upper, inputs=[result, number], outputs=f"""{str(n+1) + ' :' + s + '\n' for n,s in enumerate(display)}""")
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demo.launch()
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