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Update app.py
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app.py
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@@ -4,7 +4,6 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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import torch
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from IndicTransTokenizer import IndicProcessor
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# Initialize the transliteration engine and model
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e = XlitEngine(["gu", 'en'], beam_width=10, src_script_type="en")
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model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-indic-en-1B", trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("ai4bharat/indictrans2-indic-en-1B", trust_remote_code=True)
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@@ -29,8 +28,7 @@ def translate_question(english_question):
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outputs = ip.postprocess_batch(outputs, lang="eng_Latn")
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return outputs
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st.title("English to Gujarati Translation")
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st.write("Enter your question in English:")
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english_question = st.text_input("Question:")
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import torch
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from IndicTransTokenizer import IndicProcessor
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e = XlitEngine(["gu", 'en'], beam_width=10, src_script_type="en")
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model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-indic-en-1B", trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("ai4bharat/indictrans2-indic-en-1B", trust_remote_code=True)
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outputs = ip.postprocess_batch(outputs, lang="eng_Latn")
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return outputs
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st.title("Gujarati to English Translation")
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st.write("Enter your question in English:")
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english_question = st.text_input("Question:")
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