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https://github.com/open-webui/pipelines
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add more style options
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5e445df828
commit
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@ -31,6 +31,95 @@ class Pipeline:
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"vector_illustration",
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"vector_illustration",
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"icon"
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"icon"
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]
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]
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self.style_substyles = {
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"realistic_image": [
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"b_and_w",
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"enterprise",
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"evening_light",
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"faded_nostalgia",
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"forest_life",
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"hard_flash",
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"hdr",
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"motion_blur",
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"mystic_naturalism",
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"natural_light",
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"natural_tones",
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"organic_calm",
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"real_life_glow",
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"retro_realism",
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"retro_snapshot",
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"studio_portrait",
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"urban_drama",
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"village_realism",
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"warm_folk"
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],
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"digital_illustration": [
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"2d_art_poster",
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"2d_art_poster_2",
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"engraving_color",
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"grain",
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"hand_drawn",
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"hand_drawn_outline",
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"handmade_3d",
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"infantile_sketch",
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"pixel_art",
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"antiquarian",
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"bold_fantasy",
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"child_book",
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"child_books",
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"cover",
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"crosshatch",
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"digital_engraving",
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"expressionism",
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"freehand_details",
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"grain_20",
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"graphic_intensity",
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"hard_comics",
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"long_shadow",
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"modern_folk",
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"multicolor",
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"neon_calm",
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"noir",
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"nostalgic_pastel",
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"outline_details",
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"pastel_gradient",
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"pastel_sketch",
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"pop_art",
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"pop_renaissance",
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"street_art",
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"tablet_sketch",
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"urban_glow",
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"urban_sketching",
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"vanilla_dreams",
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"young_adult_book",
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"young_adult_book_2"
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],
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"vector_illustration": [
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"bold_stroke",
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"chemistry",
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"colored_stencil",
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"contour_pop_art",
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"cosmics",
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"cutout",
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"depressive",
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"editorial",
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"emotional_flat",
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"engraving",
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"infographical",
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"line_art",
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"line_circuit",
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"linocut",
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"marker_outline",
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"mosaic",
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"naivector",
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"roundish_flat",
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"segmented_colors",
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"sharp_contrast",
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"thin",
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"vector_photo",
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"vivid_shapes"
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]
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}
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async def on_startup(self):
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async def on_startup(self):
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print(f"on_startup:{__name__}")
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print(f"on_startup:{__name__}")
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@ -42,19 +131,45 @@ class Pipeline:
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async def on_shutdown(self):
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async def on_shutdown(self):
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print(f"on_shutdown:{__name__}")
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print(f"on_shutdown:{__name__}")
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def get_closest_style(self, input_style: str) -> str:
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def get_style_and_substyle(self, input_text: str) -> tuple[str, str | None]:
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# Convert input and available styles to lowercase for better matching
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"""
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input_style = input_style.lower()
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Find the best matching style and substyle from a single input.
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Returns a tuple of (style, substyle) where substyle may be None.
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"""
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input_text = input_text.lower()
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# First try to match the main style
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style_map = {s.lower(): s for s in self.available_styles}
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style_map = {s.lower(): s for s in self.available_styles}
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style_matches = get_close_matches(input_text, style_map.keys(), n=1, cutoff=0.6)
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# Try to find close matches
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# Create a map of all substyles to their parent styles
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matches = get_close_matches(input_style, style_map.keys(), n=1, cutoff=0.6)
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substyle_to_style = {}
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for style, substyles in self.style_substyles.items():
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for substyle in substyles:
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substyle_to_style[substyle.lower()] = (style, substyle)
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if matches:
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# Try to match substyle
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closest = matches[0]
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substyle_matches = get_close_matches(input_text, substyle_to_style.keys(), n=1, cutoff=0.6)
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print(f"Using style '{style_map[closest]}' for input '{input_style}'")
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return style_map[closest]
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# If we found a style match
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return "realistic_image" # default fallback
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if style_matches:
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matched_style = style_map[style_matches[0]]
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# If this style has substyles, try to find a default or matching substyle
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if matched_style in self.style_substyles:
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# If we also found a substyle match and it belongs to this style, use it
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if substyle_matches and substyle_to_style[substyle_matches[0]][0] == matched_style:
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return matched_style, substyle_to_style[substyle_matches[0]][1]
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# Otherwise return None for substyle
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return matched_style, None
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return matched_style, None
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# If we found a substyle match, use its parent style
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if substyle_matches:
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style, substyle = substyle_to_style[substyle_matches[0]]
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return style, substyle
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# Default to realistic_image with no substyle
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return "realistic_image", None
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def pipe(
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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@ -62,22 +177,35 @@ class Pipeline:
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print(f"pipe:{__name__}")
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print(f"pipe:{__name__}")
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try:
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try:
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# Extract style from prompt if provided in [style] format
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# Extract style/substyle specification from prompt if provided in [text] format
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style_match = re.search(r'\[(.*?)\]', user_message)
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style_match = re.search(r'\[(.*?)\]', user_message)
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selected_style = self.get_closest_style(style_match.group(1)) if style_match else "realistic_image"
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# Clean the prompt by removing the style specification
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# Get style and substyle from the input text
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if style_match:
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selected_style, selected_substyle = self.get_style_and_substyle(style_match.group(1))
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print(f"Matched style: {selected_style}, substyle: {selected_substyle}")
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else:
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selected_style, selected_substyle = "realistic_image", None
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# Clean the prompt by removing all bracketed content
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clean_prompt = re.sub(r'\[.*?\]', '', user_message).strip()
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clean_prompt = re.sub(r'\[.*?\]', '', user_message).strip()
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# Select model based on style
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# Select model based on style
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model = 'recraft20b' if selected_style == 'icon' else 'recraftv3'
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model = 'recraft20b' if selected_style == 'icon' else 'recraftv3'
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response = self.client.images.generate(
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# Prepare request parameters
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prompt=clean_prompt,
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params = {
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style=selected_style,
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'prompt': clean_prompt,
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size='1280x1024',
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'style': selected_style,
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model=model,
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'size': '1280x1024',
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)
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'model': model,
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}
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# Add substyle if specified and valid
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if selected_substyle:
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params['extra_body'] = {'substyle': selected_substyle}
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response = self.client.images.generate(**params)
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print(response)
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print(response)
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if response and response.data and len(response.data) > 0:
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if response and response.data and len(response.data) > 0:
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