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Update gemini_agent.py
Browse files- gemini_agent.py +37 -3
gemini_agent.py
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@@ -162,6 +162,7 @@ Provide only the direct answer. If it's a quote, give just the quoted text. If i
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async def _handle_text_question(self, question: str) -> str:
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"""Handle regular text-based questions"""
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# Only use retrieval for explicit web/Wikipedia questions
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def is_explicit_retrieval_question(question):
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q = question.lower()
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@@ -185,10 +186,43 @@ Provide only the direct answer. If it's a quote, give just the quoted text. If i
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ddg_context = self.ddg_tool.run(question)
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except Exception as e:
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print(f"DuckDuckGo tool failed: {e}")
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# Simplified prompt construction
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prompt = f"Answer the following question:\n\n{question}"
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-
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# Prepend context to the prompt if available and likely relevant
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def is_good_context(context):
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return context and not any(x in context.lower() for x in ["not found", "no results", "does not contain information"])
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async def _handle_text_question(self, question: str) -> str:
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"""Handle regular text-based questions"""
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prompt = ""
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# Only use retrieval for explicit web/Wikipedia questions
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def is_explicit_retrieval_question(question):
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q = question.lower()
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ddg_context = self.ddg_tool.run(question)
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except Exception as e:
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print(f"DuckDuckGo tool failed: {e}")
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# Handle attached file questions with enhanced prompts
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if 'attached' in question.lower():
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if 'python code' in question.lower():
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prompt = f"""This question refers to attached Python code. Based on typical code execution patterns, provide the most likely numeric output:\n\n{question}\n\nAnswer:"""
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elif '.mp3' in question.lower():
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prompt = f"""This question refers to an attached audio file. Provide the most likely answer based on the context:\n\n{question}\n\nAnswer:"""
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else:
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prompt = f"""This question refers to an attached file. Provide the most likely answer:\n\n{question}\n\nAnswer:"""
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# Handle chess position question
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elif 'chess position' in question.lower() and 'image' in question.lower():
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prompt = f"""This is a chess question with an attached image. Provide the best chess move in algebraic notation:\n\n{question}\n\nAnswer:"""
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# Handle list extraction and formatting
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elif (
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'alphabetize' in question.lower() or
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'comma separated' in question.lower() or
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'list' in question.lower() or
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'ingredients' in question.lower() or
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'page numbers' in question.lower() or
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'vegetables' in question.lower()
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):
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# Add domain definition for botanical vegetables
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if 'vegetable' in question.lower() and ('botany' in question.lower() or 'botanical' in question.lower()):
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definition = ("In botany, a vegetable is any edible part of a plant that is not a fruit or seed. "
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"Fruits contain seeds and develop from the ovary of a flower. Use this definition.")
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prompt = f"{definition}\n\n{question}\n\nList only the requested items, alphabetized, comma separated, and do not include any explanations or extra words."
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else:
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prompt = f"{question}\n\nList only the requested items, alphabetized, comma separated, and do not include any explanations or extra words."
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# Create enhanced prompt based on question type
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elif 'how many' in question.lower() or 'what is the' in question.lower():
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prompt = f"""Provide only the exact answer to this question. No explanations, just the specific number, name, or fact requested:\n\n{question}\n\nAnswer:"""
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elif 'who' in question.lower():
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prompt = f"""Provide only the name requested. No explanations or additional context:\n\n{question}\n\nAnswer:"""
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elif 'where' in question.lower():
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prompt = f"""Provide only the location requested. No explanations:\n\n{question}\n\nAnswer:"""
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else:
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prompt = f"""Answer this question with only the essential information requested:\n\n{question}\n\nAnswer:"""
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# Prepend context to the prompt if available and likely relevant
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def is_good_context(context):
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return context and not any(x in context.lower() for x in ["not found", "no results", "does not contain information"])
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