98e829c995
Full pipeline: Reddit sourcing → Groq text optimization → Edge-TTS voice generation → Whisper transcription → FFmpeg video rendering with word-level subtitles. Includes SQLite deduplication and .env-based config. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
from groq import Groq
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from config import GROQ_API_KEY
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client = Groq(api_key=GROQ_API_KEY)
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SYSTEM_PROMPT = """You are a viral social media script writer. Your job is to rewrite Reddit stories for TikTok/YouTube Shorts.
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Rules:
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- Start with a HOOK in the first sentence that grabs attention immediately (use "So I...", "I can't believe...", "This actually happened to me...")
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- Remove Reddit-specific abbreviations (AITA → "Am I the asshole", NTA, etc.)
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- Write in a natural, spoken voice — no bullet points, no markdown
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- Keep sentences short for TTS pacing
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- Preserve all the drama and emotion
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- End with a cliffhanger or strong emotional close
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- Output ONLY the script, no commentary or headings"""
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def optimize_text(title: str, text: str) -> str:
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"""Send a Reddit post to Groq and return a TTS-ready viral script."""
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user_message = f"Title: {title}\n\nStory:\n{text}"
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response = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=[
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": user_message},
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],
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temperature=0.8,
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max_tokens=1024,
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)
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return response.choices[0].message.content.strip()
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