LapStore
commited on
Commit
•
4722fbd
1
Parent(s):
6e57d33
try space
Browse files- app.py +23 -33
- index.html +4 -4
app.py
CHANGED
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@@ -8,7 +8,7 @@ from PIL import ImageOps,Image ,ImageFilter
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import matplotlib.pyplot as plt
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import numpy as np
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import ast
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import
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#http://localhost:8000
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app = FastAPI()
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@@ -18,6 +18,28 @@ app = FastAPI()
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def main():
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return "Hello World taha"
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@app.post('/predict')
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async def predict(supported_types_str: str = Form(),age: str = Form() , file: UploadFile = File(...)):
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@@ -38,35 +60,3 @@ async def predict(supported_types_str: str = Form(),age: str = Form() , file: U
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# Return the processed image for download
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return FileResponse(output_file_path, media_type='image/png', filename="/tmp/tmp_processed_image.png")
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@app.post('/predict2')
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async def predict2(supported_types_str: str = Form(...), age: str = Form(...), file: UploadFile = File(...)):
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contents = await file.read()
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image = Image.open(io.BytesIO(contents))
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# Process the image (example: convert to grayscale)
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processed_image = image.convert("L")
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# Save the processed image to a BytesIO object
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img_byte_arr = io.BytesIO()
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processed_image.save(img_byte_arr, format='PNG')
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img_byte_arr.seek(0) # Move to the beginning of the BytesIO buffer
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# Create an HTML response with the processed image
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html_content = f"""
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<html>
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<body>
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<h3>Processed Image:</h3>
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<img src="data:image/png;base64,{img_byte_arr.getvalue().decode('latin1')}" alt="Processed Image" style="max-width: 500px;"/>
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<br><br>
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<p>Your name: {supported_types_str}</p>
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<p>Your age: {age}</p>
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<p><a href="/download">Download Processed Image</a></p>
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</body>
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</html>
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"""
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return HTMLResponse(content=html_content)
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import matplotlib.pyplot as plt
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import numpy as np
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import ast
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from server import *
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#http://localhost:8000
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app = FastAPI()
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def main():
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return "Hello World taha"
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##### use space /tmp/ ...
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@app.post('/imageStep1')
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async def image_step1(image_file: UploadFile = File(...),type_of_filters: str = Form(...), blur_radius: str = Form(...),):
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contents = await image_file.read()
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image = Image.open(io.BytesIO(contents))
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produced_image=SegmenterBackground().Back_step1(image,type_of_filters,blur_radius)
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# Save the processed image to a temporary file
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output_file_path_tmp = "/tmp/tmp_processed_image.png"
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produced_image.save(output_file_path_tmp)
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# Return the processed image for download
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return FileResponse(output_file_path_tmp, media_type='image/png', filename="/tmp/tmp_processed_image.png")
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@app.post('/predict')
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async def predict(supported_types_str: str = Form(),age: str = Form() , file: UploadFile = File(...)):
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# Return the processed image for download
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return FileResponse(output_file_path, media_type='image/png', filename="/tmp/tmp_processed_image.png")
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index.html
CHANGED
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@@ -2,11 +2,11 @@
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<body bgcolor="#00cccc">
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<center>
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<br><br><br>
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<form action="https://taha454-backg.hf.space/
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<p><h3>Enter Image:</h3></p>
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Name :<p><input type="text" name="
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<p><input type="submit" value="submit" /></p>
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</form>
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</center>
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<body bgcolor="#00cccc">
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<center>
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<br><br><br>
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<form action="https://taha454-backg.hf.space/imageStep1" method="post" enctype="multipart/form-data">
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<p><h3>Enter Image:</h3></p>
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Name :<p><input type="text" name="type_of_filters" /></p><br>
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blur_radius :<p><input type="text" name="blur_radius" /></p><br>
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Image : <input type="file" name="image_file" required><br><br>
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<p><input type="submit" value="submit" /></p>
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</form>
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</center>
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