Update app.py
Browse files
app.py
CHANGED
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@@ -1,12 +1,51 @@
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import streamlit as st
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import easyocr
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from PIL import Image
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import numpy as np
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# Initialize EasyOCR Reader
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reader = easyocr.Reader(['en'])
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st.title("Image to Text Extraction Using EasyOCR")
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# File uploader for images
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uploaded_file = st.file_uploader("Choose an image... (JPEG, PNG)", type=["jpg", "jpeg", "png"])
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@@ -24,10 +63,32 @@ if uploaded_file is not None:
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results = reader.readtext(image_np)
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# Extract and display the detected text
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st.subheader("Extracted Text:")
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if results:
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for (bbox, text, prob) in results:
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st.write(f"Detected Text: '{text}' with confidence {prob:.2f}")
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else:
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st.write("No text detected.")
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# import streamlit as st
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# import easyocr
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# from PIL import Image
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# import numpy as np
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# # Initialize EasyOCR Reader
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# reader = easyocr.Reader(['en']) # You can specify the language(s) here
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# st.title("Image to Text Extraction Using EasyOCR")
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# # File uploader for images
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# uploaded_file = st.file_uploader("Choose an image... (JPEG, PNG)", type=["jpg", "jpeg", "png"])
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# if uploaded_file is not None:
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# # Load the image using PIL
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# image = Image.open(uploaded_file)
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# st.image(image, caption='Uploaded Image', use_container_width=True)
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# st.write("")
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# # Convert image to numpy array
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# image_np = np.array(image)
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# # Use EasyOCR to do OCR on the image
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# results = reader.readtext(image_np)
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# # Extract and display the detected text
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# st.subheader("Extracted Text:")
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# if results:
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# for (bbox, text, prob) in results:
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# st.write(f"Detected Text: '{text}' with confidence {prob:.2f}")
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# else:
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# st.write("No text detected.")
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import streamlit as st
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import easyocr
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from PIL import Image
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import numpy as np
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import requests
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# Initialize EasyOCR Reader
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reader = easyocr.Reader(['en'])
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st.title("Image to Text Extraction and Translation Using EasyOCR and Translation API")
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# File uploader for images
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uploaded_file = st.file_uploader("Choose an image... (JPEG, PNG)", type=["jpg", "jpeg", "png"])
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results = reader.readtext(image_np)
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# Extract and display the detected text
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st.subheader("Extracted English Text:")
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extracted_texts = []
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if results:
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for (bbox, text, prob) in results:
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st.write(f"Detected Text: '{text}' with confidence {prob:.2f}")
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extracted_texts.append(text)
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else:
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st.write("No text detected.")
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# Combine all extracted texts into a single string
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english_text = ' '.join(extracted_texts)
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# Translate English text to Persian using an API
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st.subheader("Translated Persian Text:")
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if english_text:
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with st.spinner("Translating text..."):
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# Make a request to the translation API
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translation_response = requests.post('https://translate.sravn.io/translate', data={
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'q': english_text,
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'source': 'en',
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'target': 'fa'
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})
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if translation_response.status_code == 200:
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persian_text = translation_response.json()['translatedText']
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st.write(persian_text)
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else:
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st.write("Translation failed. Please try again later.")
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else:
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st.write("No text to translate.")
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