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Create image_scripter.py
Browse files- image_scripter.py +53 -0
image_scripter.py
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import os
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import httpx
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def generate_image_script(text):
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try:
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with httpx.Client(timeout=10.0) as client:
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response = client.post(
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url="https://openrouter.ai/api/v1/chat/completions",
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headers={
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"Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}",
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"Content-Type": "application/json",
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"HTTP-Referer": "https://sreepathi-ravikumar-sample.hf.space",
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"X-Title": "Educational AI Assistant"
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},
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json={
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"model": "deepseek/deepseek-chat-v3-0324:free",
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"messages": [{
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"role": "user",
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"content": f"""topic:\n{text} \n prompt :\n *Educational Video Image Search Prompt Generator*
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*Task:*
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- You provide a topic or paragraph (e.g., "AC generator").
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- I return *literal, search-friendly terms* for finding concrete 16:9 images (480p/720p).
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*Rules Applied:*
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1. *Concrete Objects/Scenes Only* (e.g., "rotating copper coil in magnetic field" not "electromagnetic induction").
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2. *Natural Language* (phrases you’d actually type into Google Images).
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3. *No Abstraction* (avoid "illustration," "diagram" unless critical).
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*Output Format:*
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- Bulletless list of 3–7 exact search terms.
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---
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### *Example Usage:*
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*Your Input:*
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"Generate image search prompts for this topic: AC generator"
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*My Output:*
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rotating copper coil in magnetic field
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AC generator industrial machine close-up
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sinusoidal alternating current waveform graph
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slip rings and carbon brushes close-up
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power plant turbine generating electricity """
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}],
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"temperature": 0.7,
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"max_tokens": 2000
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}
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)
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response.raise_for_status()
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return response.json()['choices'][0]['message']['content']
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except Exception as e:
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return f"Error generating answer: {str(e)}"
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