app.py

import requests
import time
from rembg import remove
from PIL import Image
import streamlit as st
from bs4 import BeautifulSoup


def google_api(word):
    # Start timer
    start_time = time.time()

    query = word
    num = 5

    url = f'https://www.googleapis.com/customsearch/v1?q={query}&num={num}&searchType=image&key={api_key}&cx={cx}'

    response = requests.get(url)
    data = response.json()
    links = [item['link'] for item in data['items']]
    

    for i, link in enumerate(links):

        # Send a request to the image URL
        response = requests.get(link)

        # Save the image to a file
        image_path = f'image_{i}.png'
        with open(image_path, 'wb') as f:
            f.write(response.content)

        st.subheader(f"Image {i+1}:")

        try:
            # Remove the background from the image
            output_path = f'output_{i}.png'
            with Image.open(image_path) as input:
                # Open the downloaded image
                # Resize the image to 1000x1000
                fixed_height = 1000
                height_percent = (fixed_height / float(input.size[1]))
                width_size = int((float(input.size[0]) * float(height_percent)))
                img = input.resize((width_size, fixed_height),Image.NEAREST)

                # Save the resized image to the same file
                img.save(image_path)
                output = remove(img)
                output.save(output_path)
                image_list=[]
                image_list.append((Image.open(image_path), Image.open(output_path)))
                cols = st.columns(len(image_list[0]))
                for images in image_list:
                    for col, image in zip(cols, images):
                        col.image(image, use_column_width=True)

            
        except:
            st.error("An error occurred while processing the image.")
            continue
    # End timer and calculate elapsed time
    elapsed_time = time.time() - start_time
    st.success(f"Image processing completed in {elapsed_time:.2f} seconds.")

def web_scrape(word):
    # Start timer
    start_time = time.time()

    word = word.replace(" ","+")
    URL = "https://www.google.com/search?q="+word+"&sxsrf=ALeKk03xBalIZi7BAzyIRw8R4_KrIEYONg:1620885765119&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjv44CC_sXwAhUZyjgGHSgdAQ8Q_AUoAXoECAEQAw&cshid=1620885828054361"
    page = requests.get(URL)

    soup = BeautifulSoup(page.content, 'html.parser')
    image_tags = soup.find_all('img')

    links = []
    i = 0
    for image_tag in image_tags:
        if i == 0:
            i = i + 1
            continue
        if i >= 6 :
            break
        else:
            links.append(image_tag['src'])
            i = i + 1

    # Create a list to hold the original and output images

    for i, link in enumerate(links):

        # Send a request to the image URL
        response = requests.get(link)

        # Save the image to a file
        image_path = f'image_{i}.png'
        with open(image_path, 'wb') as f:
            f.write(response.content)

        st.subheader(f"Image {i+1}:")

        try:
            # Remove the background from the image
            output_path = f'output_{i}.png'
            with Image.open(image_path) as input:
                # Open the downloaded image
                # Resize the image 
                # fixed_height = 100
                # height_percent = (fixed_height / float(input.size[1]))
                # print(height_percent)
                # width_size = int((float(input.size[0]) * float(height_percent)))
                # print(width_size)
                # img = input.resize((width_size, fixed_height),Image.NEAREST)
                # # Save the resized image to the same file
                # img.save(image_path)
                output = remove(input)
                output.save(output_path)
                image_list = []
                image_list.append((Image.open(image_path), Image.open(output_path)))
                cols = st.columns(len(image_list[0]))
                for images in image_list:
                    for col, image in zip(cols, images):
                        col.image(image, use_column_width=True)

        except:
            st.error("An error occurred while processing the image.")
            continue

     # End timer and calculate elapsed time
    elapsed_time = time.time() - start_time
    st.success(f"Image processing completed in {elapsed_time:.2f} seconds.")


st.title("Image searcher")
st.subheader("(with Background Remover)")

api_key = 'AIzaSyAx4fTPrUVHPzN-BlDRBLkpd_BeIribnus'
cx = '6daf46cdb49a3770b'

word = st.text_input("Enter search term for images:")
options = ["google-api", "web-scrapping"]
selected_options = st.selectbox("Select options", options)
if st.button("Submit"):
    if selected_options=="google-api":
        google_api(word)
    elif selected_options=="web-scrapping":
        web_scrape(word)
    else:
        st.error("CHOOSE OPTION!!!")