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from langchain.llms import HuggingFacePipeline |
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llm = HuggingFacePipeline.from_model_id( |
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model_id="bigscience/bloom-1b7", |
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task="text-generation", |
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model_kwargs={"temperature": 0, "max_length": 64}, |
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) |
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from langchain.prompts import PromptTemplate |
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template = """Question: {question} |
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Answer: Let's think step by step.""" |
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prompt = PromptTemplate.from_template(template) |
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chain = prompt | llm |
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question = st.text_input("Enter your question:") |
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result=chain.invoke({"question": question}) |
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print(result) |
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st.write(result) |
