Create app.py
Browse files
app.py
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import gradio as gr
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from transformers import pipeline
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from sentence_transformers import SentenceTransformer, util
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# Translation models
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translation_models = {
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'Vietnamese': "Helsinki-NLP/opus-mt-en-vi",
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'Japanese': "Helsinki-NLP/opus-mt-en-jap",
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'Thai': "Helsinki-NLP/opus-mt-en-tha",
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'Spanish': "Helsinki-NLP/opus-mt-en-es"
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}
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# Initialize translation pipeline
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def get_translator(language):
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model_name = translation_models.get(language)
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if model_name:
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return pipeline("translation", model=model_name)
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return None
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# Helper function to generate bullet points
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def generate_bullet_points(text):
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model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
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sentences = text.split('. ')
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embeddings = model.encode(sentences, convert_to_tensor=True)
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clusters = util.community_detection(embeddings, threshold=0.75)
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bullet_points = []
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for cluster in clusters:
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cluster_sentences = [sentences[idx] for idx in cluster]
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main_sentence = cluster_sentences[0] if cluster_sentences else ""
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bullet_points.append(main_sentence.strip())
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return "\n".join(f"- {point}" for point in bullet_points)
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# Helper function to translate text
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def translate_text(text, language):
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translator = get_translator(language)
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if translator:
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translated_text = translator(text)[0]['translation_text']
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return translated_text
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return text
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def process_text(input_text, language):
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bullet_points = generate_bullet_points(input_text)
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translated_text = translate_text(bullet_points, language)
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return bullet_points, translated_text
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# Create Gradio interface
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iface = gr.Interface(
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fn=process_text,
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inputs=[
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gr.Textbox(label="Input Text", placeholder="Paste your text here..."),
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gr.Dropdown(choices=["Vietnamese", "Japanese", "Thai", "Spanish"], label="Translate to", value="Vietnamese")
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],
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outputs=[
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gr.Textbox(label="Bullet Points"),
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gr.Textbox(label="Translated Bullet Points")
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],
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title="Text to Bullet Points and Translation",
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description="Paste any text, and the program will transform it into bullet points. Optionally, translate the bullet points into Vietnamese, Japanese, Thai, or Spanish."
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)
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iface.launch()
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