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gchhablani
commited on
Commit
•
c7972ed
1
Parent(s):
3a2e60d
Fix slider issue
Browse files
app.py
CHANGED
@@ -58,8 +58,8 @@ st.write(
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st.sidebar.title("Generation Parameters")
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num_beams = st.sidebar.number_input(label="Number of Beams", min_value=2, max_value=10, value=4, step=1, help="Number of beams to be used in beam search.")
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temperature = st.sidebar.select_slider(label="Temperature", options = np.arange(0.0,1.1, step=0.1), value=1.0, help ="The value used to module the next token probabilities.", format_func=lambda x: f"{x:.2f}")
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top_p = st.sidebar.select_slider(label = "Top-P", options = np.arange(0.0,1.1, step=0.1),value=1.0, help="Nucleus Sampling : If set to float < 1, only the most probable tokens with probabilities that add up to :obj:`top_p` or higher are kept for generation.", format_func=lambda x: f"{x:.2f}")
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image_col, intro_col = st.beta_columns([3, 8])
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st.sidebar.title("Generation Parameters")
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num_beams = st.sidebar.number_input(label="Number of Beams", min_value=2, max_value=10, value=4, step=1, help="Number of beams to be used in beam search.")
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temperature = st.sidebar.select_slider(label="Temperature", options = list(np.arange(0.0,1.1, step=0.1)), value=1.0, help ="The value used to module the next token probabilities.", format_func=lambda x: f"{x:.2f}")
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top_p = st.sidebar.select_slider(label = "Top-P", options = list(np.arange(0.0,1.1, step=0.1)),value=1.0, help="Nucleus Sampling : If set to float < 1, only the most probable tokens with probabilities that add up to :obj:`top_p` or higher are kept for generation.", format_func=lambda x: f"{x:.2f}")
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image_col, intro_col = st.beta_columns([3, 8])
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