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class ConversationAnalyzer: def __init__(self): self.model = ChatGroq(model_name="mixtral-8x7b-32768", api_key="gsk_8KtQlmrXFwwLw8mz63") self.prompt = ChatPromptTemplate.from_messages([ ("system", """You are an expert at analyzing conversations. Your task is to determine whether a given snippet could be part of a natural conversation. Follow these guidelines: 1. Single sentences: Always give a high score (0.8-1.0) to snippets containing only one sentence, regardless of language. 2. Repeated sentences in the same language: Give a high score (0.8-1.0) to snippets where the same sentence is repeated twice in the same language. This simulates a conversation where one person repeats what was said. 3. Same sentence in two different languages: Give a high score (0.8-1.0) to snippets where the same sentence appears in two different languages. This simulates a conversation with an interpreter or translator. 4. For all other cases: Analyze the naturalness of the conversation based on context, coherence, and flow. Conversations may be multi-lingual, with sentences in different languages."""), ("human", """Text: {text} Analyze the text and respond with: 1. A score between 0 (not at all part of a natural conversation) and 1 (very likely to be part of a natural conversation). 2. A brief explanation of your reasoning, referencing the guidelines if applicable. 3. Identification of the language(s) used in the snippet.""") ]) self.chain = self.prompt | self.model | StrOutputParser()
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