| import transformers |
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| import streamlit as st |
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| model_name = "Helsinki-NLP/opus-mt-en-ur" |
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| tokenizer = transformers.AutoTokenizer.from_pretrained(model_name) |
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| model = transformers.AutoModelForSeq2SeqLM.from_pretrained(model_name) |
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| physics_terms = { |
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| "force": "قوت", |
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| "mass": "جرم", |
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| "acceleration": "تسارع", |
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| } |
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| def main(): |
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| st.title("Physics Terms Dictionary") |
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| term = st.text_input("Enter a physics term:") |
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| if term: |
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| if term in physics_terms: |
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| urdu_term = physics_terms[term] |
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| st.write(f"Urdu Term: {urdu_term}") |
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| inputs = tokenizer(term, return_tensors="pt") |
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| outputs = model.generate(**inputs) |
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| translated_explanation = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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| st.write(f"Explanation: {translated_explanation}") |
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| else: |
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| st.warning("Term not found in the dictionary.") |
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| if __name__ == "__main__": |
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| main() |
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| this dictionary have limited terms, give me dictionary with thousands of term related physics. also define term in urdu and english with daily life example |
