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Nifemi Alpine Durin
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Parent(s):
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switch to md
Browse files
app.py
CHANGED
@@ -8,60 +8,19 @@ API_URL = os.environ.get("API_URL", "http://0.0.0.0:8021")
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APP_ENV = os.environ.get("APP_ENV", None)
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def image_to_base64(input_file):
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file_bytes = None
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file_path = None
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if input_file is None:
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return None
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# Check if the input is a string (file path)
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if isinstance(input_file, str):
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file_path = input_file
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with open(input_file, "rb") as file:
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file_bytes = file.read()
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else:
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# Handle file-like object (_TemporaryFileWrapper)
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file_path = input_file.name
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file_bytes = input_file.read()
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# Guess the MIME type of the file based on the file extension
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mime_type, _ = mimetypes.guess_type(file_path)
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if mime_type is None:
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mime_type = 'application/octet-stream' # Use a binary data MIME type as a fallback
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data_url = f"data:{mime_type};base64,{base64.b64encode(file_bytes).decode()}"
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return data_url
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# Assuming the API returns an image URL in the response
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def generate_image(
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if logo_image:
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logo_base64 = image_to_base64(logo_image)
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else:
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logo_base64 = ""
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# Define your payload/data to send to the image generation API
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data = {
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"
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"
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"secondary_color": secondary_color,
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"description": description,
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"target_audience": target_audience,
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"font": font,
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"heading_text": heading_text or "",
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"sub_heading_text": sub_heading_text or "",
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"logo_url": logo_base64,
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"user_prompt": custom_graphic_prompt,
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"image_dimension": image_layout
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}
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# Make the API call
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response = requests.post(API_URL, json=data)
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# Ensure the API call was successful
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if response.status_code != 200:
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@@ -98,29 +57,59 @@ content_html = """
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"""
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iface = gr.Interface(
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fn=generate_image,
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inputs=[
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gr.components.Textbox(placeholder="Brand
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gr.components.ColorPicker(value="#FFFFFF", label="Primary Color"),
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gr.components.ColorPicker(value="#05A592", label="Secondary Color"),
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gr.components.Textbox(placeholder="Brief description of your brand and design guidelines", label="Description", lines=2),
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gr.components.Textbox(placeholder="Your Brand's target audience", label="Target Audience"),
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gr.components.Textbox(placeholder="Google Font Label i.e Rubik", label="Font"),
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gr.components.File(label="Logo Image", scale=2, file_types=["jpg", "jpeg", "png", "gif", "bmp"]),
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gr.components.Textbox(placeholder="Heading text (not required)", label="Heading Text"),
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gr.components.Textbox(placeholder="Paragraph text (not required)", label="Sub Heading Text"),
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gr.components.Dropdown(
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choices=[
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("Select Layout", "750x1334"),
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("Mobile Portrait (750x1334)", "750x1334"),
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("Mobile Landscape (940x470)", "940x470"),
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("Square (2048x2048)", "2048x2048")
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],
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value="750x1334",
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label="Image Layout"
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),
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gr.components.Textbox(lines=4, placeholder="Enter your custom dall-e 2-3 image prompt here (not required)", value="", label="Custom Graphic Prompt")
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],
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outputs=[
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gr.components.Image(label="Generated Image")
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APP_ENV = os.environ.get("APP_ENV", None)
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# Assuming the API returns an image URL in the response
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def generate_image(campaign_details):
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# Define your payload/data to send to the image generation API
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data = {
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"request_string": campaign_details,
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"is_single_image": True
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}
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# Make the API call
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response = requests.post(API_URL + "/generate_graphic", json=data)
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# Ensure the API call was successful
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if response.status_code != 200:
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"""
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default_value = """
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# Brand Name
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Enter your brand name here
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## Description
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Enter your description here.
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---
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## Branding
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### Colors
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Primary Color: i.e #000000
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Secondary Color: i.e #FFFFFF
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### Font
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Enter font here i.e Arial
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### Logo
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Enter your logo url here.
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---
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## Audience
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Enter your target audience here.
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---
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## Headings
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### Main Heading
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Your main heading text here.
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### Sub-heading
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Your sub-heading text here.
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---
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## Image Layout
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### Select Layout
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Layout can be any of: Mobile Portrait (750x1334), Mobile Landscape (940x470), Square (2048x2048)
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Selected Layout: Mobile Portrait (750x1334)
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---
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## Custom Graphics
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Enter your custom graphic prompt here.
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"""
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iface = gr.Interface(
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fn=generate_image,
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inputs=[
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gr.components.Textbox(lines=10, placeholder="Enter your Brand and campaign details here", value=default_value, label="Campaign Details")
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],
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outputs=[
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gr.components.Image(label="Generated Image")
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