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8e99fee
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Parent(s):
4e35413
Update app.py
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app.py
CHANGED
@@ -1,36 +1,31 @@
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# Load the
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model_path = r'C:\Users\muham\OneDrive\Desktop\certificates\product_model'
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model = AutoModelForSeq2SeqLM.from_pretrained(r'C:\Users\muham\OneDrive\Desktop\certificates\product_model')
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# Load the translation models
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translator_ar_en = pipeline('translation_ar_to_en', model='Helsinki-NLP/opus-mt-ar-en')
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translator_en_ar = pipeline('translation_en_to_ar', model='Helsinki-NLP/opus-mt-en-ar')
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custom_model = pipeline('text2text-generation', model=r'C:\Users\muham\OneDrive\Desktop\certificates\product_model')
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def translate(text, translator):
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return translator(text)[0]['translation_text']
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def chat_with_bot():
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print("(:اهلا بحضرتك في تطبيق السمسار الالكتروني")
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while True:
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# Get user input
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user_input = input("العميل: ")
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if user_input.lower() == 'quit':
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break
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# Translate user input from Arabic to English
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try:
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translated_input = translate(user_input, translator_ar_en)
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# Generate prediction
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prediction = custom_model(translated_input)[0]['generated_text']
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# Translate response from English to Arabic
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translated_response = translate(prediction, translator_en_ar)
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print("السمسار:", translated_response)
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except Exception as e:
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print(f"An error occurred: {str(e)}")
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#
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import streamlit as st
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from transformers import pipeline
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# Load the translation models and the custom chatbot model
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translator_ar_en = pipeline('translation_ar_to_en', model='Helsinki-NLP/opus-mt-ar-en')
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translator_en_ar = pipeline('translation_en_to_ar', model='Helsinki-NLP/opus-mt-en-ar')
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custom_model = pipeline('text2text-generation', model='Mohamed2002/product_model')
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def translate(text, translator):
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return translator(text)[0]['translation_text']
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# Streamlit app
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st.title("Arabic Chatbot")
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st.write("(:اهلا بحضرتك في تطبيق السمسار الالكتروني")
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user_input = st.text_input("العميل:")
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if st.button("Submit"):
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try:
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# Translate user input from Arabic to English
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translated_input = translate(user_input, translator_ar_en)
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# Generate prediction
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prediction = custom_model(translated_input)[0]['generated_text']
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# Translate response from English to Arabic
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translated_response = translate(prediction, translator_en_ar)
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st.write("السمسار:", translated_response)
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except Exception as e:
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st.write(f"An error occurred: {str(e)}")
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