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Update components/pexels.py
Browse files- components/pexels.py +66 -58
components/pexels.py
CHANGED
@@ -1,81 +1,89 @@
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import requests
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import shutil
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# Searching for the videos
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def search_pexels(keyword, api_key, orientation='
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if size not in ['medium', 'small', 'large']:
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raise Exception("Error! size must be one of ['medium', 'small', 'large']")
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base_url = 'https://api.pexels.com/'
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headers = {
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'Authorization': f'{api_key}'
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}
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url = f'{base_url}{endpoint}/search?query={keyword}&per_page={num_pages}&orientation={orientation}&size={size}'
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response = requests.get(url, headers=headers)
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# Check if request was successful (status code 200)
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if response.status_code == 200:
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data = response.json()
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return data
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else:
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print(f'Error: {response.status_code}')
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# Video download function
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def download_video(
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for
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if
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continue
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#
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def generate_videos(product, api_key, orientation, height, width
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prod = product.strip().replace(" ", "_")
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links = []
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try :
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# Split the paragraph by sentences
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sentences = llm_chain.run(product.strip())
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print('Sentence :', sentences)
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# sentences = sentences.split(".")[:-1]
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sentences = [x.strip() for x in re.split(r'\d+\.', sentences) if len(x) > 6]
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# Create directory with the product's name
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if os.path.exists(prod):
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shutil.rmtree(prod)
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os.mkdir(prod)
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# Generate video for every sentence
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print("
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for i,
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keyword =
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print(i+1
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data = search_pexels(keyword, api_key, orientation.lower())
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link = download_video(data, prod, height, width, links,i)
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links.append(link)
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print(e)
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return prod, sentences
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import requests
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import shutil
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import os
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import re
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# Searching for the videos
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def search_pexels(keyword, api_key, orientation='portrait', size='medium', endpoint='videos', num_pages=50):
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if orientation not in ['portrait', 'landscape', 'square']:
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raise ValueError("Error! orientation must be one of {'portrait', 'landscape', 'square'}")
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if size not in ['medium', 'small', 'large']:
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raise ValueError("Error! size must be one of ['medium', 'small', 'large']")
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base_url = 'https://api.pexels.com/'
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headers = {'Authorization': api_key}
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url = f'{base_url}{endpoint}/search?query={keyword}&per_page={num_pages}&orientation={orientation}&size={size}'
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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data = response.json()
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return data
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else:
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print(f'Error: {response.status_code}')
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return None
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# Video download function
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def download_video(video_data, parent_path, height, width, links, index):
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for video in video_data['videos']:
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if video['id'] in links:
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continue
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for video_file in video['video_files']:
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if video_file['height'] == height and video_file['width'] == width:
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# Stream the video to avoid memory issues
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video_url = video_file['link']
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file_path = os.path.join(parent_path, f"{index}_{video['id']}.mp4")
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with requests.get(video_url, stream=True) as r:
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r.raise_for_status()
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with open(file_path, 'wb') as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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print(f"Successfully saved video in {file_path}")
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return video['id']
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return None
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# Generate videos without LLM dependency
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def generate_videos(product, api_key, orientation, height, width):
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prod = product.strip().replace(" ", "_")
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links = []
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try:
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# Create directory with the product's name
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if os.path.exists(prod):
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shutil.rmtree(prod)
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os.mkdir(prod)
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# Define static sentences based on the product
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sentences = [
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f"Introducing {product}, the ultimate solution for your needs.",
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f"Experience the power of {product} today.",
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f"Why choose {product}? Discover its amazing features.",
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f"Transform your life with {product}.",
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f"Get ready to enjoy {product} like never before."
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]
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# Generate video for every sentence
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print("Keywords:")
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for i, sentence in enumerate(sentences):
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keyword = extract_keywords(sentence) # Replace with a simple keyword extraction function
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print(f"{i+1}: {keyword}")
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data = search_pexels(keyword, api_key, orientation.lower())
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if data and 'videos' in data:
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link = download_video(data, prod, height, width, links, i)
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if link:
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links.append(link)
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print("Success! Videos have been generated.")
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except Exception as e:
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print("Error! Failed generating videos.")
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print(e)
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return prod, sentences
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# Simple keyword extraction function (replace this with a more advanced method if needed)
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def extract_keywords(sentence):
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# Extract nouns and key phrases using regex or simple heuristics
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keywords = re.findall(r'\b\w+\b', sentence)
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return " ".join(keywords[:3]) # Return the first 3 words as keywords
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