Spaces:
Running
on
Zero
Running
on
Zero
Update genra_incremental.py
Browse files- genra_incremental.py +4 -0
genra_incremental.py
CHANGED
@@ -1,3 +1,4 @@
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import torch
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import numpy as np
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import pandas as pd
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@@ -27,6 +28,7 @@ class LLMGenerator:
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self.tokenizer = tokenizer
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self.llm_name = llm_name
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def generate_answer(self, texts, query, mode='validate'):
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template_texts =""
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for i, text in enumerate(texts):
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@@ -62,6 +64,7 @@ class LLMGenerator:
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class QAIndexer:
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def __init__(self, index_type, emb_model):
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self.document_embedder = SentenceTransformersDocumentEmbedder(model=emb_model)
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self.document_embedder.warm_up()
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@@ -126,6 +129,7 @@ def rank_aggregation(aggregator, lists, k):
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class GenraPipeline:
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def __init__(self, llm_name, emb_model, aggregator, contexts):
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self.qa_indexer = QAIndexer('in_memory', emb_model)
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self.qa_retriever = QARetriever(self.qa_indexer.document_store)
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import spaces
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import torch
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import numpy as np
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import pandas as pd
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self.tokenizer = tokenizer
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self.llm_name = llm_name
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@spaces.GPU(duration=120)
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def generate_answer(self, texts, query, mode='validate'):
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template_texts =""
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for i, text in enumerate(texts):
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class QAIndexer:
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@spaces.GPU(duration=60)
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def __init__(self, index_type, emb_model):
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self.document_embedder = SentenceTransformersDocumentEmbedder(model=emb_model)
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self.document_embedder.warm_up()
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class GenraPipeline:
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@spaces.GPU(duration=60)
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def __init__(self, llm_name, emb_model, aggregator, contexts):
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self.qa_indexer = QAIndexer('in_memory', emb_model)
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self.qa_retriever = QARetriever(self.qa_indexer.document_store)
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