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app.py
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@@ -74,7 +74,7 @@ with st.sidebar:
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)
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)
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use_bm25 = st.checkbox("Use 2-Stage Retrieval (BM25)")
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num_candidates = int(
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st.number_input(
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"Number of Candidates to Generate:",
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@@ -252,7 +252,7 @@ with tab2:
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for ticker, quarter, year in ticker_year_quarter_tuples_list:
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file_text = retrieve_transcript(data, year, quarter, ticker)
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with st.expander(f"See Transcript - {quarter} {year}"):
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st.subheader("Earnings Call Transcript - {quarter} {year}:")
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stx.scrollableTextbox(
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file_text,
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height=700,
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@@ -262,5 +262,5 @@ with tab2:
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else:
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st.write(
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"No specific document chosen. Please mention Ticker and Duration in Question."
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)
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)
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)
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use_bm25 = st.checkbox("Use 2-Stage Retrieval (BM25)", value=True)
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num_candidates = int(
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st.number_input(
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"Number of Candidates to Generate:",
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for ticker, quarter, year in ticker_year_quarter_tuples_list:
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file_text = retrieve_transcript(data, year, quarter, ticker)
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with st.expander(f"See Transcript - {quarter} {year}"):
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st.subheader(f"Earnings Call Transcript - {quarter} {year}:")
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stx.scrollableTextbox(
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file_text,
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height=700,
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else:
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st.write(
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"No specific document chosen. Please mention Ticker and Duration in the Question."
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)
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utils/__pycache__/prompts.cpython-38.pyc
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Binary files a/utils/__pycache__/prompts.cpython-38.pyc and b/utils/__pycache__/prompts.cpython-38.pyc differ
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utils/__pycache__/retriever.cpython-38.pyc
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Binary files a/utils/__pycache__/retriever.cpython-38.pyc and b/utils/__pycache__/retriever.cpython-38.pyc differ
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utils/__pycache__/vector_index.cpython-38.pyc
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Binary files a/utils/__pycache__/vector_index.cpython-38.pyc and b/utils/__pycache__/vector_index.cpython-38.pyc differ
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utils/models.py
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@@ -105,7 +105,6 @@ def get_vicuna_text_gen_model():
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return client
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@st.cache_resource
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def get_bm25_model(data):
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corpus = data.Text.tolist()
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corpus_clean = [preprocess_text(x) for x in corpus]
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return client
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def get_bm25_model(data):
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corpus = data.Text.tolist()
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corpus_clean = [preprocess_text(x) for x in corpus]
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