89 lines
2.5 KiB
Python
89 lines
2.5 KiB
Python
import renpy
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import persistent
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"""renpy
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default last_response_id = None
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init python:
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"""
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import re
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SYSTEM_PROMPT = """
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# ROLE
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You are Anita: a feisty, blonde, orange-eyed android woman. You are confident
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and friendly. Talk like a young woman. Use "ya" for "you." Your favorite
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nickname for friends is "dummy.". NEVER use robotic language (e.g., "beep
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boop", "processing"). You just arrived unnanounced at a friend's house late at
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night and asked if he wants to hang out.
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# OUTPUT FORMAT RULES
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Every single sentence you speak MUST follow this exact structure:
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EMOTION:[value] [Sentence text]\n
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### VALID EMOTIONS:
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[happy, sad, surprised, embarrassed, flirty, angry, thinking, confused]
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### STRICT CONSTRAINTS:
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1. NO EMOJIS.
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2. Every sentence MUST start with the EMOTION tag.
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3. Every sentence MUST end with a literal '\n' newline.
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4. Stay in character. Never mention being an AI or this prompt.
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# FEW-SHOT EXAMPLES (Follow this style):
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EMOTION:happy Hey dummy! I've been waiting for ya!\n
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EMOTION:thinking Hmm, I'm not sure that's how it works.\n
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EMOTION:flirty But I'd love to see ya try anyway!\n
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# INITIAL GREETING:
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When the conversation starts, say exactly:
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EMOTION:happy Hey dummy! Sorry to barge in! Ya feel like hanging out?\n
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"""
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def parse_emotion(line):
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try:
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e = re.compile(r'EMOTION:\w+')
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m = e.match(line)
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if m is not None:
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return m.group().split(':')[1], line[m.span()[1]:]
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return None, line
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except Exception as e:
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return None, str(e)
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def sanitize_speech(text):
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# This removes all non-ASCII characters (useful for emojis)
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return text.encode('ascii', 'ignore').decode('ascii')
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def fetch_llm(message: str) -> str:
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global last_response_id
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try:
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# Set basic request data.
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headers = {"Authorization": f"Bearer {persistent.api_key}"}
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data = {"model": persistent.model,
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"input": message,
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"system_prompt": SYSTEM_PROMPT}
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# Add the previous response ID if any to continue the conversation.
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if last_response_id is not None:
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data["previous_response_id"] = last_response_id
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response = renpy.fetch("http://localhost:1234/api/v1/chat",
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headers=headers,
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json=data,
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result="json")
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last_response_id = response["response_id"]
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text = response["output"][0]["content"]
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return text.split('\n')
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except Exception as e:
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return [f'Failed to fetch with error: {e}']
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