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initial commit π€π€π€
Browse files- Dockerfile +26 -0
- app.py +30 -0
- requirements.txt +3 -0
Dockerfile
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# Use an official Python runtime as a parent image
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FROM python:3.10-slim
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# Set the working directory in the container
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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tesseract-ocr \
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libtesseract-dev \
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libgl1-mesa-glx \
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libglib2.0-0 \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Copy the current directory contents into the container at /app
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COPY . /app
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# Install any needed packages specified in requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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# Make port 7860 available to the world outside this container
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EXPOSE 7860
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# Run app.py when the container launches
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CMD ["python", "app.py"]
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app.py
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import gradio as gr
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import pytesseract
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from PIL import Image
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import os
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def extract_text(image_path):
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if not image_path:
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return "No image uploaded. Please upload an image."
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if not os.path.exists(image_path):
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return f"Error: File not found at {image_path}"
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try:
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img = Image.open(image_path)
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text = pytesseract.image_to_string(img)
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return text if text.strip() else "No text detected in the image."
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except Exception as e:
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return f"An error occurred: {str(e)}"
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# Create the Gradio interface (same as before)
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iface = gr.Interface(
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fn=extract_text,
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inputs=gr.Image(type="filepath", label="Upload an image"),
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outputs=gr.Textbox(label="Extracted Text"),
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title="Image Text Extractor",
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description="Upload an image and extract text from it using OCR."
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)
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# Launch the interface
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iface.launch()
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requirements.txt
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gradio
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pytesseract
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Pillow
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