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samcoding5854
commited on
Commit
β’
f0a1f4f
1
Parent(s):
47acebd
Final Changes
Browse files- {bgImages β Assets/bgImages}/1.jpg +0 -0
- {bgImages β Assets/bgImages}/2.jpg +0 -0
- {bgImages β Assets/bgImages}/3.jpg +0 -0
- {bgImages β Assets/bgImages}/4.jpg +0 -0
- Assets/output/images/overlay_image.png +0 -0
- Assets/saved_masks/Screenshot from 2024-05-29 00-48-50.png +0 -0
- {saved_masks β Assets/saved_masks}/inverted_mask_0.png +0 -0
- Assets/uploaded_images/Screenshot from 2024-05-29 00-48-50.png +0 -0
- {uploaded_images β Assets/uploaded_images}/download.png +0 -0
- Pages/AboutMe.py +2 -2
- Pages/adScript.py +27 -0
- Pages/bgImages.py +9 -13
- Pages/createVideo.py +3 -3
- Pages/createVisual.py +2 -2
- Pages/createdVisuals.py +43 -0
- Pages/imageBB.py +5 -5
- Pages/objectRecognize.py +49 -0
- Pages/utils.py +0 -0
- app.py +26 -13
- output/overlay_image.png +0 -0
- requirements.txt +1 -0
{bgImages β Assets/bgImages}/1.jpg
RENAMED
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{bgImages β Assets/bgImages}/2.jpg
RENAMED
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{bgImages β Assets/bgImages}/3.jpg
RENAMED
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{bgImages β Assets/bgImages}/4.jpg
RENAMED
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Assets/output/images/overlay_image.png
ADDED
Assets/saved_masks/Screenshot from 2024-05-29 00-48-50.png
ADDED
{saved_masks β Assets/saved_masks}/inverted_mask_0.png
RENAMED
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Assets/uploaded_images/Screenshot from 2024-05-29 00-48-50.png
ADDED
{uploaded_images β Assets/uploaded_images}/download.png
RENAMED
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Pages/AboutMe.py
CHANGED
@@ -1,9 +1,9 @@
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import streamlit as st
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def ABOUTUS():
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-
st.title('About
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st.write("""
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-
Welcome to
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innovative solutions using Streamlit.
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""")
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import streamlit as st
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def ABOUTUS():
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st.title('About Me')
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st.write("""
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Welcome to the Streamlit app for making a photoshoot visual! We are a team of developers passionate about creating
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innovative solutions using Streamlit.
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""")
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Pages/adScript.py
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@@ -0,0 +1,27 @@
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import streamlit as st
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import google.generativeai as genai
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def CREATEAD():
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st.title("Create a script/idea")
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prompt = st.text_input("Write about product/Advertisement Idea you already have.")
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if prompt:
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# Or use `os.getenv('GOOGLE_API_KEY')` to fetch an environment variable.
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GOOGLE_API_KEY = st.secrets["GOOGLE_API_KEY"]
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel('gemini-1.5-flash')
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response = model.generate_content(f"Write a funny short advertisement script for this {prompt}", stream=True)
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response.resolve()
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st.write(response.text)
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if __name__ == "__main__":
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CREATEAD()
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Pages/bgImages.py
CHANGED
@@ -11,14 +11,13 @@ def load_images_from_folder(folder):
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images.append(os.path.join(folder, filename))
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return images
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# Main function
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def BGIMAGES():
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st.title("Background Images")
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st.header('Create a template', divider='orange')
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prompt = st.text_input("
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if prompt:
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# Load the pipeline
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with st.spinner("Loading model..."):
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image = pipeline(image_prompt, generator=generator).images[0]
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# Save the image
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output_dir = "bgImages"
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os.makedirs(output_dir, exist_ok=True)
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image_path = os.path.join(output_dir, f"{prompt}.png")
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image.save(image_path)
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else:
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st.write("Please enter a movie title to generate an image.")
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-
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# Path to the folder containing images
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image_folder = "bgImages"
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# Load images from the folder
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images = load_images_from_folder(image_folder)
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# Display images and information in a grid layout with three images per row
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-
col_width = 350
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num_images = len(images)
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images_per_row = 3
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num_rows = (num_images + images_per_row - 1) // images_per_row
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st.header('Available Templates', divider
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# Display images and information in a grid layout with three images per row
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for i in range(num_rows):
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for j in range(images_per_row):
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idx = i * images_per_row + j
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if idx < num_images:
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-
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if __name__ == "__main__":
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BGIMAGES()
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images.append(os.path.join(folder, filename))
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return images
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# Main function
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def BGIMAGES():
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st.title("Background Images")
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st.header('Create a template', divider='orange')
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prompt = st.text_input("Prompt for a Background")
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if prompt:
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# Load the pipeline
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with st.spinner("Loading model..."):
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image = pipeline(image_prompt, generator=generator).images[0]
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# Save the image
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output_dir = "Assets/bgImages"
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os.makedirs(output_dir, exist_ok=True)
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image_path = os.path.join(output_dir, f"{prompt}.png")
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image.save(image_path)
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else:
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st.write("Please enter a movie title to generate an image.")
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# Path to the folder containing images
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image_folder = "Assets/bgImages"
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# Load images from the folder
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images = load_images_from_folder(image_folder)
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# Display images and information in a grid layout with three images per row
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col_width = 350 # Adjust this value according to your preference
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num_images = len(images)
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images_per_row = 3
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num_rows = (num_images + images_per_row - 1) // images_per_row
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st.header('Available Templates', divider='red')
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# Display images and information in a grid layout with three images per row
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for i in range(num_rows):
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for j in range(images_per_row):
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idx = i * images_per_row + j
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if idx < num_images:
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image_path = images[idx]
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image_name = os.path.splitext(os.path.basename(image_path))[0] # Get the file name without extension
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cols[j].image(image_path, width=col_width)
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cols[j].write(image_name)
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if __name__ == "__main__":
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BGIMAGES()
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Pages/createVideo.py
CHANGED
@@ -12,13 +12,13 @@ def CREATEGIF():
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)
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pipeline.enable_model_cpu_offload()
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image = load_image("output/overlay_image.png")
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image = image.resize((1024, 576))
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generator = torch.manual_seed(42)
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frames = pipeline(image, decode_chunk_size=8, generator=generator).frames[0]
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export_to_video(frames, "output/generated.mp4", fps=7)
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video_file = open('output/generated.mp4', 'rb')
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video_bytes = video_file.read()
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st.video(video_bytes)
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)
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pipeline.enable_model_cpu_offload()
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image = load_image("Assets/output/images/overlay_image.png")
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image = image.resize((1024, 576))
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generator = torch.manual_seed(42)
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frames = pipeline(image, decode_chunk_size=8, generator=generator).frames[0]
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export_to_video(frames, "Assets/output/videos/generated.mp4", fps=7)
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video_file = open('Assets/output/videos/generated.mp4', 'rb')
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video_bytes = video_file.read()
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st.video(video_bytes)
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Pages/createVisual.py
CHANGED
@@ -8,14 +8,14 @@ def CREATEVISUALS():
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st.title("Create photoshoot visual")
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# Set the directory where the uploaded images will be saved
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UPLOAD_DIR = 'uploaded_images'
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# Create the directory if it doesn't exist
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if not os.path.exists(UPLOAD_DIR):
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os.makedirs(UPLOAD_DIR)
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# Streamlit app title
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st.header("
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# File uploader allows user to upload an image
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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st.title("Create photoshoot visual")
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# Set the directory where the uploaded images will be saved
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UPLOAD_DIR = 'Assets/uploaded_images'
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# Create the directory if it doesn't exist
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if not os.path.exists(UPLOAD_DIR):
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os.makedirs(UPLOAD_DIR)
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# Streamlit app title
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st.header("Upload image")
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# File uploader allows user to upload an image
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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Pages/createdVisuals.py
ADDED
@@ -0,0 +1,43 @@
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import os
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import streamlit as st
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def load_images_from_folder(folder):
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images = []
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for filename in os.listdir(folder):
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if filename.endswith(".jpg") or filename.endswith(".png"):
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images.append(os.path.join(folder, filename))
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return images
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# Main function
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def CREATEDIMAGES():
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st.title("Created Images")
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# Path to the folder containing images
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image_folder = "Assets/output/images"
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# Load images from the folder
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images = load_images_from_folder(image_folder)
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# Display images and information in a grid layout with three images per row
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col_width = 350 # Adjust this value according to your preference
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num_images = len(images)
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images_per_row = 3
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num_rows = (num_images + images_per_row - 1) // images_per_row
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st.header('Available Templates', divider = 'red')
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# Display images and information in a grid layout with three images per row
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for i in range(num_rows):
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cols = st.columns(images_per_row)
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for j in range(images_per_row):
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idx = i * images_per_row + j
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if idx < num_images:
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cols[j].image(images[idx], width=col_width)
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cols[j].write(images[idx])
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if __name__ == "__main__":
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CREATEDIMAGES()
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Pages/imageBB.py
CHANGED
@@ -51,7 +51,7 @@ def run(img_path):
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rects = st_img_label(resized_img, box_color="red", rects=st.session_state.rects)
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st.session_state.rects = rects
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else:
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st.image(resized_img, caption="
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for rect in st.session_state.rects:
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# st.write(f"Rectangle: {rect}")
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masks = get_masks(rect,img_path)
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save_dir = "saved_masks"
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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@@ -71,7 +71,7 @@ def run(img_path):
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print(f"Inverted masks saved to directory: {save_dir}")
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image_files = [f for f in os.listdir("bgImages") if os.path.isfile(os.path.join("bgImages", f))]
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st.header("Template Selection")
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# Create a dropdown with the list of image files
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if selected_image:
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# Display the selected image
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image_pathBG = os.path.join("bgImages", selected_image)
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image = Image.open(image_pathBG)
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st.image(image, width=300, caption=f"Selected image: {selected_image}")
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overlay_image[:, :, 3] = np.clip(overlay[:, :, 3] + background_bgra[:, :, 3], 0, 255)
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# Save the result
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output_path = 'output/overlay_image.png'
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cv2.imwrite(output_path, overlay_image)
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# Display the overlay image
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rects = st_img_label(resized_img, box_color="red", rects=st.session_state.rects)
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st.session_state.rects = rects
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else:
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st.image(resized_img, caption="Uploaded Image",width=300, use_column_width=True)
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for rect in st.session_state.rects:
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# st.write(f"Rectangle: {rect}")
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masks = get_masks(rect,img_path)
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save_dir = "Assets/saved_masks"
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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print(f"Inverted masks saved to directory: {save_dir}")
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image_files = [f for f in os.listdir("Assets/bgImages") if os.path.isfile(os.path.join("Assets/bgImages", f))]
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st.header("Template Selection")
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# Create a dropdown with the list of image files
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if selected_image:
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# Display the selected image
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image_pathBG = os.path.join("Assets/bgImages", selected_image)
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image = Image.open(image_pathBG)
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st.image(image, width=300, caption=f"Selected image: {selected_image}")
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overlay_image[:, :, 3] = np.clip(overlay[:, :, 3] + background_bgra[:, :, 3], 0, 255)
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# Save the result
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output_path = 'Assets/output/images/overlay_image.png'
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cv2.imwrite(output_path, overlay_image)
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# Display the overlay image
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Pages/objectRecognize.py
ADDED
@@ -0,0 +1,49 @@
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import PIL.Image
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import streamlit as st
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import google.generativeai as genai
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import os
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from PIL import Image
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def DETECTIMAGE():
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st.title("Create photoshoot visual")
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# Set the directory where the uploaded images will be saved
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11 |
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UPLOAD_DIR = 'Assets/uploaded_images'
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13 |
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# Create the directory if it doesn't exist
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14 |
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if not os.path.exists(UPLOAD_DIR):
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os.makedirs(UPLOAD_DIR)
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+
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# Streamlit app title
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18 |
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st.header("Upload Image")
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19 |
+
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20 |
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# File uploader allows user to upload an image
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21 |
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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22 |
+
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23 |
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if uploaded_file is not None:
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24 |
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with st.spinner('Processing the image...'):
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25 |
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# Open the uploaded image
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26 |
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image = Image.open(uploaded_file)
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27 |
+
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28 |
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# Save the uploaded image to the specified directory
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29 |
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image_path = os.path.join(UPLOAD_DIR, uploaded_file.name)
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30 |
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image.save(image_path)
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31 |
+
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32 |
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img = PIL.Image.open(image_path)
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33 |
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st.image(img, caption="Uploaded Image")
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34 |
+
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35 |
+
# Or use `os.getenv('GOOGLE_API_KEY')` to fetch an environment variable.
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36 |
+
GOOGLE_API_KEY = st.secrets["GOOGLE_API_KEY"]
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37 |
+
|
38 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
39 |
+
|
40 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
41 |
+
|
42 |
+
# Generate content
|
43 |
+
response = model.generate_content(["Is the image anything from this list? (Shoe,Sneaker, Bottle, Cup, Sandal, Perfume, Toy, Sunglasses, Car, Water Bottle,Chair, Office Chair, Can, Cap, Hat, Couch, Wristwatch, Glass, Bag, Handbag, Baggage, Suitcase, Headphones, Jar, Vase) If yes then give only the object name, if no simply say 'Not Recognized' and dont give any fullstop at the end.", img], stream=True)
|
44 |
+
response.resolve()
|
45 |
+
|
46 |
+
st.subheader(f"Output: {response.text}")
|
47 |
+
|
48 |
+
if __name__ == "__main__":
|
49 |
+
DETECTIMAGE()
|
Pages/utils.py
DELETED
File without changes
|
app.py
CHANGED
@@ -3,7 +3,10 @@ import streamlit as st
|
|
3 |
from Pages.createVisual import CREATEVISUALS
|
4 |
from Pages.AboutMe import ABOUTUS
|
5 |
from Pages.bgImages import BGIMAGES
|
|
|
6 |
from Pages.createVideo import CREATEGIF
|
|
|
|
|
7 |
|
8 |
|
9 |
st.set_page_config(
|
@@ -13,19 +16,24 @@ st.set_page_config(
|
|
13 |
initial_sidebar_state="expanded" # 'auto', 'expanded', 'collapsed'
|
14 |
)
|
15 |
|
|
|
|
|
|
|
16 |
|
17 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
# Execute the command
|
25 |
-
|
26 |
-
os.system(folder_Command)
|
27 |
-
|
28 |
-
os.system(download_command)
|
29 |
|
30 |
# Verify the file is downloaded
|
31 |
file_path = os.path.expanduser("~/weights/sam_vit_h_4b8939.pth")
|
@@ -37,7 +45,7 @@ def MAIN():
|
|
37 |
# Rest of your application code
|
38 |
|
39 |
st.sidebar.title('LumiereIQ')
|
40 |
-
app = st.sidebar.selectbox('', ['Create Visuals','Background Images','Create Video', 'About Me'])
|
41 |
if app == "Create Visuals":
|
42 |
CREATEVISUALS()
|
43 |
elif app == "About Me":
|
@@ -46,6 +54,11 @@ def MAIN():
|
|
46 |
BGIMAGES()
|
47 |
elif app == "Create Video":
|
48 |
CREATEGIF()
|
49 |
-
|
|
|
|
|
|
|
|
|
|
|
50 |
|
51 |
MAIN()
|
|
|
3 |
from Pages.createVisual import CREATEVISUALS
|
4 |
from Pages.AboutMe import ABOUTUS
|
5 |
from Pages.bgImages import BGIMAGES
|
6 |
+
from Pages.createdVisuals import CREATEDIMAGES
|
7 |
from Pages.createVideo import CREATEGIF
|
8 |
+
from Pages.objectRecognize import DETECTIMAGE
|
9 |
+
from Pages.adScript import CREATEAD
|
10 |
|
11 |
|
12 |
st.set_page_config(
|
|
|
16 |
initial_sidebar_state="expanded" # 'auto', 'expanded', 'collapsed'
|
17 |
)
|
18 |
|
19 |
+
def MAIN():
|
20 |
+
weights_dir = 'weights'
|
21 |
+
weights_file = os.path.join(weights_dir, 'sam_vit_h_4b8939.pth')
|
22 |
|
23 |
+
# Check if the weights file already exists
|
24 |
+
if not os.path.exists(weights_file):
|
25 |
+
# Create the directory if it doesn't exist
|
26 |
+
if not os.path.exists(weights_dir):
|
27 |
+
os.makedirs(weights_dir)
|
28 |
+
|
29 |
+
# Define the download command
|
30 |
+
download_command = f"wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth -P {weights_dir}"
|
31 |
|
32 |
+
# Execute the download command
|
33 |
+
os.system(download_command)
|
34 |
+
print("Weights downloaded.")
|
35 |
+
else:
|
36 |
+
print("Weights file already exists. No download needed.")
|
|
|
|
|
|
|
|
|
|
|
37 |
|
38 |
# Verify the file is downloaded
|
39 |
file_path = os.path.expanduser("~/weights/sam_vit_h_4b8939.pth")
|
|
|
45 |
# Rest of your application code
|
46 |
|
47 |
st.sidebar.title('LumiereIQ')
|
48 |
+
app = st.sidebar.selectbox('', ['Create Visuals','Background Images','Recognize Object', 'Create Script', 'Created Images','Create Video', 'About Me'])
|
49 |
if app == "Create Visuals":
|
50 |
CREATEVISUALS()
|
51 |
elif app == "About Me":
|
|
|
54 |
BGIMAGES()
|
55 |
elif app == "Create Video":
|
56 |
CREATEGIF()
|
57 |
+
elif app == "Created Images":
|
58 |
+
CREATEDIMAGES()
|
59 |
+
elif app == "Recognize Object":
|
60 |
+
DETECTIMAGE()
|
61 |
+
elif app == "Create Script":
|
62 |
+
CREATEAD()
|
63 |
|
64 |
MAIN()
|
output/overlay_image.png
DELETED
Binary file (79.8 kB)
|
|
requirements.txt
CHANGED
@@ -8,3 +8,4 @@ roboflow
|
|
8 |
dataclasses-json
|
9 |
supervision
|
10 |
torchvision
|
|
|
|
8 |
dataclasses-json
|
9 |
supervision
|
10 |
torchvision
|
11 |
+
google-generativeai
|