preview memory state sequence
Browse files- app.py +27 -3
- requirements.txt +1 -1
app.py
CHANGED
@@ -1,3 +1,4 @@
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import gradio as gr
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import os
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import sys
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@@ -5,10 +6,12 @@ import sys
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if os.environ.get("DEV_MODE"):
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# for local development
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sys.path.insert(0, os.path.abspath("../fsrs-optimizer/src/fsrs_optimizer/"))
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from fsrs_optimizer import Optimizer, DEFAULT_WEIGHT
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def interface_func(
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weights = weights.replace("[", "").replace("]", "")
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optimizer = Optimizer()
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optimizer.w = list(map(lambda x: float(x.strip()), weights.split(",")))
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@@ -16,7 +19,26 @@ def interface_func(weights: str, ratings: str, request_retention: float) -> str:
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ratings.replace(" ", ""), request_retention
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)
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default_preview = optimizer.preview(request_retention)
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-
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iface = gr.Interface(
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@@ -28,6 +50,7 @@ iface = gr.Interface(
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default=str(DEFAULT_WEIGHT)[1:-1],
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),
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gr.inputs.Textbox(label="ratings", lines=1, default="3,3,3,3,1,3,3"),
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gr.inputs.Slider(
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label="Your Request Retention",
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minimum=0.6,
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@@ -39,6 +62,7 @@ iface = gr.Interface(
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outputs=[
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gr.outputs.Textbox(label="test sequences"),
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gr.outputs.Textbox(label="default preview"),
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],
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)
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+
from typing import List, Tuple
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import gradio as gr
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import os
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import sys
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if os.environ.get("DEV_MODE"):
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# for local development
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sys.path.insert(0, os.path.abspath("../fsrs-optimizer/src/fsrs_optimizer/"))
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from fsrs_optimizer import Optimizer, DEFAULT_WEIGHT, FSRS, lineToTensor
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def interface_func(
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weights: str, ratings: str, delta_ts: str, request_retention: float
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) -> str:
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weights = weights.replace("[", "").replace("]", "")
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optimizer = Optimizer()
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optimizer.w = list(map(lambda x: float(x.strip()), weights.split(",")))
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ratings.replace(" ", ""), request_retention
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)
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default_preview = optimizer.preview(request_retention)
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if delta_ts:
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s_history, d_history = memory_state_sequence(ratings, delta_ts, optimizer.w)
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return (
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test_sequence,
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default_preview,
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f"s: {(', '.join(s_history))}\nd: {', '.join(d_history)}",
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)
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return test_sequence, default_preview, ""
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def memory_state_sequence(
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r_history: str, t_history: str, weights: List[float]
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) -> Tuple[List[float], List[float]]:
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fsrs = FSRS(weights)
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line_tensor = lineToTensor(list(zip([t_history], [r_history]))[0]).unsqueeze(1)
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outputs, _ = fsrs(line_tensor)
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stabilities, difficulties = outputs.transpose(0, 1)[0].transpose(0, 1)
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return map(lambda x: str(round(x, 2)), stabilities.tolist()), map(
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lambda x: str(round(x, 2)), difficulties.tolist()
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)
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iface = gr.Interface(
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default=str(DEFAULT_WEIGHT)[1:-1],
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),
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gr.inputs.Textbox(label="ratings", lines=1, default="3,3,3,3,1,3,3"),
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gr.inputs.Textbox(label="delta_ts", lines=1, optional=True),
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gr.inputs.Slider(
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label="Your Request Retention",
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minimum=0.6,
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outputs=[
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gr.outputs.Textbox(label="test sequences"),
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gr.outputs.Textbox(label="default preview"),
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gr.outputs.Textbox(label="state history"),
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],
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)
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requirements.txt
CHANGED
@@ -1 +1 @@
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-
FSRS-Optimizer==4.28.
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FSRS-Optimizer==4.28.2
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