Spaces:
Sleeping
Sleeping
File size: 2,146 Bytes
446bbff 51c5711 446bbff d443e19 446bbff d443e19 446bbff |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
import os
import httpx
async def generate_image_script(text):
try:
with httpx.Client(timeout=10.0) as client:
response = client.post(
url="https://openrouter.ai/api/v1/chat/completions",
headers={
"Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}",
"Content-Type": "application/json",
"HTTP-Referer": "https://sreepathi-ravikumar-sample.hf.space",
"X-Title": "Educational AI Assistant"
},
json={
"model": "deepseek/deepseek-chat-v3-0324:free",
"messages": [{
"role": "user",
"content": f"""topic:\n{text} \n prompt :\n *Educational Video Image Search Prompt Generator*
*Task:*
- You provide a topic or paragraph (e.g., "AC generator").
- I return *literal, search-friendly terms* for finding concrete 16:9 images (480p/720p).
*Rules Applied:*
1. *Concrete Objects/Scenes Only* (e.g., "rotating copper coil in magnetic field" not "electromagnetic induction").
2. *Natural Language* (phrases you’d actually type into Google Images).
3. *No Abstraction* (avoid "illustration," "diagram" unless critical).
4. *but that image easily available on internet same thing that related to that topics so that simple image that script
*Output Format:*
- Bulletless list of 3–7 exact search terms.
---
### *Example Usage:*
*Your Input:*
"Generate image search prompts for this topic: AC generator"
*My Output:*
rotating copper coil in magnetic field
AC generator industrial machine close-up
sinusoidal alternating current waveform graph
slip rings and carbon brushes close-up
power plant turbine generating electricity """
}],
"temperature": 0.7,
"max_tokens": 500
}
)
response.raise_for_status()
return response.json()['choices'][0]['message']['content']
except Exception as e:
return f"Error generating answer: {str(e)}" |