tweaks
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@ -38,8 +38,11 @@ const HomePage = forwardRef<ConversationHandle, BackstoryPageProps>((props: Back
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title: 'Welcome to Backstory',
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disableCopy: true,
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content: `
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Backstory is a RAG enabled expert system with access to real-time data running self-hosted
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(no cloud) versions of industry leading Large and Small Language Models (LLM/SLMs).
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Backstory is a RAG enabled expert system with access to real-time data running
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self-hosted (no cloud) versions of industry leading Large and Small Language
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Models (LLM/SLMs). It provides potential employees the opportunityt to ask
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questions about a job candidate, as well as to allow the job candidate to
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generate resumes based on their personal data.
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This instances has been launched for ${user.full_name}.
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@ -283,7 +283,7 @@ class JobDescription(Agent):
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Create a polished, concise, and ATS-friendly resume for the candidate based on the assessment data provided.
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## CANDIDATE INFORMATION:
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Name: {candidate_info.full_name}
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Name: {candidate_info["full_name"]}
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{contact_info_str}
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## SKILL ASSESSMENT RESULTS:
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@ -190,7 +190,7 @@ class User(BaseModel):
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logger.error(f"info={info}")
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self.first_name = info.get("first_name", self.username)
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self.last_name = info.get("first_name", "")
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self.last_name = info.get("last_name", "")
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self.full_name = info.get("full_name", f"{self.first_name} {self.last_name}")
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self.contact_info = info.get("contact_info", {})
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self.user_questions = info.get("questions", [ f"Tell me about {self.first_name}.", f"What are {self.first_name}'s professional strengths?"])
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