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Update main.py
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main.py
CHANGED
@@ -3,14 +3,11 @@ from fastapi.responses import HTMLResponse
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from io import BytesIO
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import pytesseract
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from PIL import Image
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import
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import numpy as np
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# Initialize FastAPI app
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app = FastAPI()
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import subprocess
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def install_tesseract():
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try:
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subprocess.run(['apt-get', 'update'], check=True)
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@@ -20,9 +17,6 @@ def install_tesseract():
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install_tesseract()
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# Serve static files (images, etc.)
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# app.mount("/static", StaticFiles(directory="static"), name="static") # Not needed if you're not saving the images
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# Home route
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@app.get("/", response_class=HTMLResponse)
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async def home():
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@@ -34,23 +28,82 @@ async def home():
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Image to Text Converter</title>
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<style>
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body {
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</style>
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</head>
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<body>
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@@ -83,4 +136,69 @@ async def upload_image(image: UploadFile = File(...)):
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# Process the image and extract text
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extracted_text = pytesseract.image_to_string(img)
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from io import BytesIO
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import pytesseract
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from PIL import Image
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import subprocess
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# Initialize FastAPI app
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app = FastAPI()
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def install_tesseract():
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try:
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subprocess.run(['apt-get', 'update'], check=True)
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install_tesseract()
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# Home route
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@app.get("/", response_class=HTMLResponse)
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async def home():
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Image to Text Converter</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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background-color: #000000;
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color: #333;
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margin: 0;
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padding: 0;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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}
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.container {
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text-align: center;
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background: #fff;
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padding: 30px;
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border-radius: 10px;
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box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.1);
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width: 90%;
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max-width: 600px;
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}
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h1 {
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font-size: 24px;
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color: #4CAF50;
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}
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p {
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color: #666;
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}
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.upload-box {
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margin: 20px auto;
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padding: 30px;
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border: 2px dashed #ccc;
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border-radius: 10px;
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background-color: #f9f9f9;
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cursor: pointer;
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position: relative;
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}
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.upload-box:hover {
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background-color: #f4f4f4;
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}
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.upload-box span {
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color: #888;
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font-size: 14px;
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display: block;
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}
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.upload-box input[type="file"] {
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position: absolute;
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width: 100%;
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height: 100%;
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top: 0;
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left: 0;
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opacity: 0;
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cursor: pointer;
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}
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.process-button {
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background-color: #4CAF50;
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color: white;
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padding: 10px 20px;
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border: none;
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border-radius: 5px;
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cursor: pointer;
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font-size: 16px;
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}
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.process-button:hover {
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background-color: #45a049;
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}
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.result-box {
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margin-top: 20px;
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text-align: left;
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}
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pre {
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background-color: #f4f4f4;
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padding: 10px;
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border-radius: 5px;
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white-space: pre-wrap;
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word-wrap: break-word;
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}
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</style>
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</head>
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<body>
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# Process the image and extract text
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extracted_text = pytesseract.image_to_string(img)
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html_response = f"""
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Extracted Text</title>
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<style>
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body {{
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font-family: Arial, sans-serif;
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background-color: #000000;
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color: #333;
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margin: 0;
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padding: 0;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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}}
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.container {{
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text-align: center;
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background: #fff;
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padding: 30px;
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border-radius: 10px;
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box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.1);
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width: 90%;
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max-width: 600px;
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}}
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h1 {{
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font-size: 24px;
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color: #4CAF50;
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}}
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pre {{
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background-color: #f4f4f4;
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padding: 10px;
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border-radius: 5px;
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white-space: pre-wrap;
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word-wrap: break-word;
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}}
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.process-button {{
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background-color: #4CAF50;
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color: white;
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padding: 10px 20px;
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border: none;
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border-radius: 5px;
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cursor: pointer;
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font-size: 16px;
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}}
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.process-button:hover {{
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background-color: #45a049;
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}}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>Extracted Text</h1>
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<p>Here is the text extracted from the image you uploaded:</p>
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<pre>{extracted_text}</pre>
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<form action="/" method="get">
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<button class="process-button" type="submit">Upload Another Image</button>
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</form>
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</div>
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</body>
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</html>
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"""
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return HTMLResponse(content=html_response)
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