umaiku commited on
Commit
f7848c9
·
verified ·
1 Parent(s): 1e57bef

Update app.py

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Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -50,21 +50,21 @@ def respond(
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  prompt_fr = client.text_generation(prompt_template.format(language="French") + message)
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  prompt_it = client.text_generation(prompt_template.format(language="Italian") + message)
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- print(prompt_en)
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- print(prompt_de)
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- print(prompt_fr)
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- print(prompt_it)
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-
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-
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  # retriever = vector_db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": score, "k": 10})
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  # retriever = vector_db.as_retriever(search_type="similarity", search_kwargs={"k": 10})
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  # retriever = vector_db.as_retriever(search_type="mmr")
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  # documents = retriever.invoke(message)
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  documents_en = vector_db.similarity_search_with_score(prompt_en, k=4)
 
 
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  documents_de = vector_db.similarity_search_with_score(prompt_de, k=4)
 
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  documents_fr = vector_db.similarity_search_with_score(prompt_fr, k=4)
 
 
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  documents_it = vector_db.similarity_search_with_score(prompt_it, k=4)
 
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  documents = documents_en + documents_de + documents_fr + documents_it
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  prompt_fr = client.text_generation(prompt_template.format(language="French") + message)
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  prompt_it = client.text_generation(prompt_template.format(language="Italian") + message)
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  # retriever = vector_db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": score, "k": 10})
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  # retriever = vector_db.as_retriever(search_type="similarity", search_kwargs={"k": 10})
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  # retriever = vector_db.as_retriever(search_type="mmr")
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  # documents = retriever.invoke(message)
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  documents_en = vector_db.similarity_search_with_score(prompt_en, k=4)
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+ print(prompt_en)
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+
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  documents_de = vector_db.similarity_search_with_score(prompt_de, k=4)
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+ print(prompt_de)
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  documents_fr = vector_db.similarity_search_with_score(prompt_fr, k=4)
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+ print(prompt_fr)
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+
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  documents_it = vector_db.similarity_search_with_score(prompt_it, k=4)
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+ print(prompt_it)
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  documents = documents_en + documents_de + documents_fr + documents_it
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