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Browse files- app.py +4 -1
- retrieval.py +0 -2
app.py
CHANGED
@@ -5,6 +5,9 @@ from evaluation import calculate_metrics
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from data_processing import load_recent_questions, save_recent_question
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import time
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import matplotlib.pyplot as plt
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# Page Title
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st.title("RAG7 - Real World RAG System")
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@@ -118,7 +121,7 @@ if recent_questions and "questions" in recent_questions and recent_questions["qu
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for q in recent_qns: # Show latest first
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st.sidebar.write(f"🔹 {q['question']}")
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else:
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st.sidebar.
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if st.button("Submit"):
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start_time = time.time()
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from data_processing import load_recent_questions, save_recent_question
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import time
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import matplotlib.pyplot as plt
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import nltk
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nltk.download('punkt')
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# Page Title
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st.title("RAG7 - Real World RAG System")
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for q in recent_qns: # Show latest first
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st.sidebar.write(f"🔹 {q['question']}")
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else:
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st.sidebar.title("No recent questions")
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if st.button("Submit"):
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start_time = time.time()
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retrieval.py
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@@ -13,8 +13,6 @@ reranker = CrossEncoder("cross-encoder/ms-marco-MiniLM-L-6-v2")
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retrieved_docs = None
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nltk.download('punkt')
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# Tokenize the documents and remove punctuation
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def preprocess(doc):
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return [word.lower() for word in word_tokenize(doc) if word not in string.punctuation]
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retrieved_docs = None
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# Tokenize the documents and remove punctuation
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def preprocess(doc):
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return [word.lower() for word in word_tokenize(doc) if word not in string.punctuation]
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