Update core_creator/intent_parser.py
Browse files- core_creator/intent_parser.py +17 -14
core_creator/intent_parser.py
CHANGED
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# intent_parser.py - Extracts purpose and domain of the robotics app idea
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# Categories the system understands
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INTENT_CATEGORIES = [
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@@ -14,9 +23,10 @@ INTENT_CATEGORIES = [
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"creative"
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]
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#
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def classify_robot_idea(user_input: str) -> str:
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Classify this user idea into one of the following categories:
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{', '.join(INTENT_CATEGORIES)}.
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Only return the category word. If none fits, return 'creative'.
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@@ -25,17 +35,10 @@ def classify_robot_idea(user_input: str) -> str:
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Category:
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"""
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response =
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messages=[
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{"role": "system", "content": "You are a classification AI for robotics ideas."},
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{"role": "user", "content": system_prompt},
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],
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temperature=0
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)
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return response.choices[0].message.content.strip().lower()
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# Example
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if __name__ == "__main__":
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print("Predicted Intent:", classify_robot_idea(
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# intent_parser.py - Extracts purpose and domain of the robotics app idea
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import os
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import google.generativeai as genai
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# Use Gemini API Key from environment variable
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GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
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if not GEMINI_API_KEY:
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raise EnvironmentError("GEMINI_API_KEY not set in environment variables.")
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genai.configure(api_key=GEMINI_API_KEY)
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model = genai.GenerativeModel("gemini-pro")
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# Categories the system understands
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INTENT_CATEGORIES = [
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"creative"
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]
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# Classify robot idea using Gemini
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def classify_robot_idea(user_input: str) -> str:
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prompt = f"""
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Classify this user idea into one of the following categories:
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{', '.join(INTENT_CATEGORIES)}.
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Only return the category word. If none fits, return 'creative'.
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Category:
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"""
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response = model.generate_content(prompt)
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return response.text.strip().lower()
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# Example
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if __name__ == "__main__":
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idea = "Build a robot that reminds elderly people to take medicine."
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print("Predicted Intent:", classify_robot_idea(idea))
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