69 lines
2.0 KiB
Python
69 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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import streamlit as st
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import requests
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from PIL import Image, ImageDraw, ImageFont
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from dotenv import load_dotenv
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import os
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from bidi.algorithm import get_display
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# Load environment variables from .env file
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load_dotenv()
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# Read API key from .env file
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api_key = os.getenv("API_KEY")
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font = ImageFont.truetype("fonts/BonaNova-Regular.ttf", 40)
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def get_nakdan_response(hebrew_text, api_key):
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url = "https://nakdan-5-3.loadbalancer.dicta.org.il/addnikud"
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headers = {'Content-Type': 'text/plain;charset=utf-8'}
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params = {
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"task": "nakdan",
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"useTokenization": True,
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"genre": "modern", # or "rabbinic" or "premodern" based on user's need
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"data": hebrew_text,
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"addmorph": True,
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"matchpartial": True,
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"keepmetagim": False,
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"keepqq": False,
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"apiKey": api_key
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}
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response = requests.post(url, headers=headers, json=params)
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return response.json()
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def main():
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st.title('Dicta Nakdan API Interface')
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# Input fields for user
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hebrew_text = st.text_area("Enter Hebrew Text:", "טקסט טקסט טקסט")
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# Button to send request
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if st.button("Process Text"):
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response = get_nakdan_response(hebrew_text, api_key)
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st.json(response)
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# Extract words
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words = [
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option['w'].replace("|", "")
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for item in response['data']
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if 'nakdan' in item
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for option in item['nakdan'].get('options', [])
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]
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st.text(words)
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# Create an image
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img = Image.new('RGB', (300, 400), color=(255, 255, 255))
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d = ImageDraw.Draw(img)
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# Position for the first word
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x, y = 10, 40
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# Write words on the image
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for word in words:
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bidi_word = get_display(word) # Convert word to RTL format
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d.text((x, y), bidi_word, fill=(0, 0, 0), font=font)
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y += 45 # Move to the next line
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st.image(img)
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if __name__ == "__main__":
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main() |