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Update app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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from textblob import TextBlob
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pipe = pipeline('summarization')
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st.title("Turkish Passive Summarization")
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#Textbox for text user is entering
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st.subheader("Enter the text you'd like to analyze.")
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text = st.text_input('Enter text') #text is stored in this variable
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import streamlit as st
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from transformers import pipeline
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from textblob import TextBlob
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import pandas as pd
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from googletrans import Translator
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translator = Translator()
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import os
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import openai
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openai.api_key = "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"
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pipe = pipeline('summarization')
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st.title("Turkish Passive Summarization")
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#Textbox for text user is entering
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st.subheader("Enter the text you'd like to analyze.")
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text = st.text_input('Enter text') #text is stored in this variable
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# Girdi Metnini İngilizce'ye Çevirme
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ttext = translator.translate(text, dest='en')
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ttext = ttext.text
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# Özetleme İşlemini Başlatma
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tResponse = openai.Completion.create(
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model="text-davinci-002",
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prompt="Summarize this for a second-grade student: " + ttext,
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temperature=0.7,
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max_tokens=256,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0
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)
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# Üçüncü kişi
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response = openai.Completion.create(
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model="text-davinci-002",
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prompt="Convert this from first-person to third person (gender female):\n\n"
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+tResponse['choices'][0]['text'],
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temperature=0,
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max_tokens=60,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0
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)
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# Çıkan İngilizce Sonucu Elde Etme
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ftext = response['choices'][0]['text']
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# İngilizce Özet
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# İngilizce metni Türkçe'ye çevirme
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result = translator.translate(ftext, dest='tr')
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result = result.text
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print("\nTürkçe Özet:\n\n",result)
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