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Dockerfile

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+FROM python:3.9-slim
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install tesseract and dependencies
+RUN apt-get update && apt-get install -y \
+    tesseract-ocr \
+    libtesseract-dev \
+    libleptonica-dev \
+    && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+# Set work directory
+WORKDIR /app
+
+# Copy files
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY app.py .
+
+EXPOSE 7860
+CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

app.py

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+import streamlit as st
+from PIL import Image
+import pytesseract
+
+st.set_page_config(page_title="OCR - Image to Text", layout="centered")
+st.title("🖼️ OCR - Image to Text")
+
+st.write("Upload an image to extract text:")
+
+# Upload block
+uploaded_file = st.file_uploader("Upload Image", type=["png", "jpg", "jpeg"])
+
+# Show uploaded image and extraction options
+if uploaded_file is not None:
+    try:
+        image = Image.open(uploaded_file)
+        st.image(image, caption="Uploaded Image", use_column_width=True)
+
+        if st.button("Extract Text"):
+            with st.spinner("Extracting text..."):
+                text = pytesseract.image_to_string(image)
+            st.success("✅ Text extracted!")
+            st.text_area("Extracted Text", value=text, height=300)
+
+    except Exception as e:
+        st.error(f"❌ Error: {e}")

requirements.txt

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+streamlit
+pytesseract
+pillow