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47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
"""
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Basic example of scraping pipeline using SmartScraper
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"""
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import os
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from dotenv import load_dotenv
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from scrapegraphai.models import OpenAIImageToText, OpenAITextToSpeech
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from scrapegraphai.utils import save_audio_from_bytes
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load_dotenv()
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openai_key = os.getenv("OPENAI_APIKEY")
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# Define the configuration for the graph
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config = {
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"itt_model": {
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"api_key": openai_key,
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"model": "gpt-4-vision-preview",
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},
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"tts_model": {
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"api_key": openai_key,
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"model": "tts-1",
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"voice": "alloy"
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},
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}
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itt_model = OpenAIImageToText(config["itt_model"])
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img_to_text_result = itt_model.run(
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"https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/scrapegraphai_logo.png"
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)
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print(f"Image description: {img_to_text_result}")
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tts_model = OpenAITextToSpeech(config["tts_model"])
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audio = tts_model.run(
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img_to_text_result
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)
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# Save the audio to a file
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file_name = "image_description.mp3"
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curr_dir = os.path.dirname(os.path.realpath(__file__))
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output_path = os.path.join(curr_dir, file_name)
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save_audio_from_bytes(audio, output_path)
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print(f"Audio file saved to: {output_path}")
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