Merge pull request #11 from rimjhimittal/main
Browse files- .github/workflows/teststreamlit.yml +1 -1
- app.py +41 -33
- examples/keras_to_MDF.json +0 -0
- page_icon.png +0 -0
.github/workflows/teststreamlit.yml
CHANGED
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@@ -20,4 +20,4 @@ jobs:
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- uses: streamlit/streamlit-app-action@v0.0.3
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with:
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app-path: app.py
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ruff:
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- uses: streamlit/streamlit-app-action@v0.0.3
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with:
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app-path: app.py
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+
ruff: false
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app.py
CHANGED
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@@ -5,7 +5,7 @@ from modeci_mdf.execution_engine import EvaluableGraph, EvaluableOutput
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import json
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import numpy as np
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import requests
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st.set_page_config(layout="wide", page_icon="
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'Report a bug': "https://github.com/ModECI/MDF/",
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'About': "ModECI (Model Exchange and Convergence Initiative) is a multi-investigator collaboration that aims to develop a standardized format for exchanging computational models across diverse software platforms and domains of scientific research and technology development, with a particular focus on neuroscience, Machine Learning and Artificial Intelligence. Refer to https://modeci.org/ for more."
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})
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@@ -71,25 +71,39 @@ def show_simulation_results(all_node_results, stateful_nodes):
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st.session_state.selected_columns = {node_id: {col: True for col in chart_data.columns}}
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elif node_id not in st.session_state.selected_columns:
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st.session_state.selected_columns[node_id] = {col: True for col in chart_data.columns}
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-
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for column in columns:
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st.checkbox(
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f"{column}",
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value=st.session_state.selected_columns[node_id][column],
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key=f"checkbox_{node_id}_{column}",
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on_change=update_selected_columns,
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args=(node_id, column,)
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)
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-
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# Filter the data based on selected checkboxes
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filtered_data = chart_data[[col for col, selected in st.session_state.selected_columns[node_id].items() if selected]]
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-
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# Display the line chart with filtered data
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st.line_chart(filtered_data, use_container_width=True, height=400)
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else:
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st.write(all_node_results[node_id])
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-
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def update_selected_columns(node_id, column):
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st.session_state.selected_columns[node_id][column] = st.session_state[f"checkbox_{node_id}_{column}"]
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@@ -99,7 +113,7 @@ def show_mdf_graph(mdf_model):
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image_path = mdf_model.id + ".png"
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st.image(image_path, caption="Model Graph Visualization")
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-
def
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st.subheader("JSON Model")
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st.json(mdf_model.to_json())
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@@ -107,27 +121,17 @@ def show_json_output(mdf_model):
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def view_tabs(mdf_model, param_inputs, stateful): # view
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tab1, tab2, tab3 = st.tabs(["Simulation Results", "MDF Graph", "Json Model"])
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with tab1:
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if
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-
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if st.session_state.simulation_results is not None:
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show_simulation_results(st.session_state.simulation_results, stateful)
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else:
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st.write("Run the simulation to see results.") # model
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else:
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-
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st.session_state.simulation_results = None
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if st.session_state.simulation_results is not None:
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show_simulation_results(st.session_state.simulation_results, stateful)
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else:
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st.write("Stateless.")
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with tab2:
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show_mdf_graph(mdf_model) # view
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with tab3:
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-
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def display_and_edit_array(array, key):
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if isinstance(array, list):
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@@ -241,6 +245,9 @@ def parameter_form_to_update_model_and_view(mdf_model):
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if param.id in param_inputs:
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param.value = param_inputs[param.id]
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st.session_state.simulation_results = run_simulation(param_inputs, mdf_model, stateful)
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view_tabs(mdf_model, param_inputs, stateful_nodes)
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@@ -250,13 +257,13 @@ def upload_file_and_load_to_model():
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github_url = st.sidebar.text_input("Enter GitHub raw file URL:", placeholder="Enter GitHub raw file URL")
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example_models = {
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"Newton Cooling Model": "./examples/NewtonCoolingModel.json",
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-
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"FN": "./examples/FN.mdf.json",
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"States": "./examples/States.json",
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"
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"Simple":"./examples/Simple.json",
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# "Arrays":"./examples/Arrays.json",
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# "RNN":"./examples/RNNs.json",
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"IAF":"./examples/IAFs.json",
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"Izhikevich Test":"./examples/IzhikevichTest.mdf.json"
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}
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@@ -311,6 +318,7 @@ def main():
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mdf_model = upload_file_and_load_to_model() # controller
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if mdf_model:
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header1, header2 = st.columns([1, 8], vertical_alignment="top")
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with header1:
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with st.container():
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import json
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import numpy as np
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import requests
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st.set_page_config(layout="wide", page_icon="page_icon.png", page_title="Model Description Format", menu_items={
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'Report a bug': "https://github.com/ModECI/MDF/",
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'About': "ModECI (Model Exchange and Convergence Initiative) is a multi-investigator collaboration that aims to develop a standardized format for exchanging computational models across diverse software platforms and domains of scientific research and technology development, with a particular focus on neuroscience, Machine Learning and Artificial Intelligence. Refer to https://modeci.org/ for more."
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})
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st.session_state.selected_columns = {node_id: {col: True for col in chart_data.columns}}
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elif node_id not in st.session_state.selected_columns:
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st.session_state.selected_columns[node_id] = {col: True for col in chart_data.columns}
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+
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# Filter the data based on selected checkboxes
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filtered_data = chart_data[[col for col, selected in st.session_state.selected_columns[node_id].items() if selected]]
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# Display the line chart with filtered data
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st.line_chart(filtered_data, use_container_width=True, height=400)
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columns = chart_data.columns
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checks = st.columns(8)
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if len(columns) > 0 and len(st.session_state.selected_columns[node_id])>1:
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for l, column in enumerate(columns):
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with checks[l]:
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st.checkbox(
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f"{column}",
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value=st.session_state.selected_columns[node_id][column],
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key=f"checkbox_{node_id}_{column}",
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on_change=update_selected_columns,
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args=(node_id, column,)
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)
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#show checkboxes horizontally
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# in case we late go back to vertical
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# for column in columns:
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# st.checkbox(
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# f"{column}",
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# value=st.session_state.selected_columns[node_id][column],
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# key=f"checkbox_{node_id}_{column}",
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# on_change=update_selected_columns,
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# args=(node_id, column,)
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# )
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else:
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st.write(all_node_results[node_id])
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def update_selected_columns(node_id, column):
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st.session_state.selected_columns[node_id][column] = st.session_state[f"checkbox_{node_id}_{column}"]
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image_path = mdf_model.id + ".png"
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st.image(image_path, caption="Model Graph Visualization")
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def show_json_model(mdf_model):
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st.subheader("JSON Model")
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st.json(mdf_model.to_json())
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def view_tabs(mdf_model, param_inputs, stateful): # view
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tab1, tab2, tab3 = st.tabs(["Simulation Results", "MDF Graph", "Json Model"])
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with tab1:
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if 'simulation_run' not in st.session_state or not st.session_state.simulation_run:
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st.write("Run the simulation to see results.")
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elif st.session_state.simulation_results is not None:
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show_simulation_results(st.session_state.simulation_results, stateful)
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else:
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st.write("No simulation results available.")
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with tab2:
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show_mdf_graph(mdf_model) # view
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with tab3:
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show_json_model(mdf_model) # view
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def display_and_edit_array(array, key):
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if isinstance(array, list):
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if param.id in param_inputs:
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param.value = param_inputs[param.id]
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st.session_state.simulation_results = run_simulation(param_inputs, mdf_model, stateful)
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st.session_state.simulation_run = True
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else:
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st.error("Please correct the invalid inputs before running the simulation.")
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view_tabs(mdf_model, param_inputs, stateful_nodes)
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github_url = st.sidebar.text_input("Enter GitHub raw file URL:", placeholder="Enter GitHub raw file URL")
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example_models = {
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"Newton Cooling Model": "./examples/NewtonCoolingModel.json",
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"ABCD": "./examples/ABCD.json",
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"FN": "./examples/FN.mdf.json",
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"States": "./examples/States.json",
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"Switched RLC Circuit": "./examples/switched_rlc_circuit.json",
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"Simple":"./examples/Simple.json",
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# "Arrays":"./examples/Arrays.json",
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# "RNN":"./examples/RNNs.json", # some issue
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"IAF":"./examples/IAFs.json",
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"Izhikevich Test":"./examples/IzhikevichTest.mdf.json"
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}
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mdf_model = upload_file_and_load_to_model() # controller
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if mdf_model:
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st.session_state.current_model = mdf_model
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header1, header2 = st.columns([1, 8], vertical_alignment="top")
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with header1:
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with st.container():
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examples/keras_to_MDF.json
ADDED
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The diff for this file is too large to render.
See raw diff
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page_icon.png
ADDED
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