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Update art_explorer.py
Browse files- art_explorer.py +11 -9
art_explorer.py
CHANGED
@@ -1,17 +1,19 @@
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from typing import Optional, List, Dict
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import json
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from openai import OpenAI
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from instructor_function_calling import InstructorFunctionCalling
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from prompts import SYSTEM_PROMPT, format_exploration_prompt, DEFAULT_RESPONSE
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from models import ExplorationResponse
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class ExplorationPathGenerator:
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def __init__(self, api_key: str):
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-
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base_url="https://api.groq.com/openai/v1",
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api_key=api_key
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)
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self.client = InstructorFunctionCalling(client=base_client)
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def generate_exploration_path(
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self,
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@@ -35,9 +37,9 @@ class ExplorationPathGenerator:
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exploration_parameters=exploration_parameters
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)
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# Use
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response =
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messages=[
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{
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"role": "system",
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@@ -48,12 +50,12 @@ class ExplorationPathGenerator:
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"content": formatted_prompt
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}
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],
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temperature=0.7,
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max_tokens=2000
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response_model=ExplorationResponse
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)
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#
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return response.model_dump()
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except Exception as e:
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from typing import Optional, List, Dict
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import json
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import instructor
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from openai import OpenAI
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from prompts import SYSTEM_PROMPT, format_exploration_prompt, DEFAULT_RESPONSE
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from models import ExplorationResponse
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# Configure instructor for GROQ
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instructor.patch(backend="groq")
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+
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class ExplorationPathGenerator:
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def __init__(self, api_key: str):
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self.client = OpenAI(
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base_url="https://api.groq.com/openai/v1",
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api_key=api_key
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)
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def generate_exploration_path(
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self,
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exploration_parameters=exploration_parameters
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)
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# Use instructor with GROQ backend
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response = instructor.llm_mode(mode="groq")(ExplorationResponse).from_response(
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client=self.client,
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messages=[
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{
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"role": "system",
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"content": formatted_prompt
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}
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],
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model="mixtral-8x7b-32768",
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temperature=0.7,
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max_tokens=2000
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)
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# Convert to dict for JSON serialization
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return response.model_dump()
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except Exception as e:
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