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Update app.py
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app.py
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@@ -11,7 +11,13 @@ import base64
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hf_token = os.environ.get("HF_TOKEN_API_DEMO") # we get it from a secret env variable, such that it's private
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auth_headers = {"api_token": hf_token}
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def download_image(url):
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response = requests.get(url)
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img_bytes = BytesIO(response.content)
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@@ -35,7 +41,7 @@ def predict(dict, prompt):
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init_image = Image.fromarray(dict['background'][:, :, :3], 'RGB') #dict['background'].convert("RGB")#.resize((1024, 1024))
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image_base64_file =
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gen_img = api_call(image_base64_file, mask_base64_file, prompt)
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hf_token = os.environ.get("HF_TOKEN_API_DEMO") # we get it from a secret env variable, such that it's private
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auth_headers = {"api_token": hf_token}
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def convert_image_to_base64_string(img):
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buffer = io.BytesIO()
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img.save(buffer, format="PNG") # You can choose the format (e.g., "JPEG", "PNG")
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# Encode the buffer in base64
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image_base64_string = base64.b64encode(buffer.getvalue()).decode('utf-8')
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return f",{image_base64_string}"
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def download_image(url):
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response = requests.get(url)
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img_bytes = BytesIO(response.content)
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init_image = Image.fromarray(dict['background'][:, :, :3], 'RGB') #dict['background'].convert("RGB")#.resize((1024, 1024))
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image_base64_file = convert_image_to_base64_string(init_image)
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gen_img = api_call(image_base64_file, mask_base64_file, prompt)
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