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Sleeping
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Commit
·
0be1b9d
1
Parent(s):
9dfefb7
Fix session_state issues
Browse files
app.py
CHANGED
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@@ -37,27 +37,6 @@ st.markdown(
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def send_evaluation(
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client, deployment_id, request_log_id, prediction_log_id, evaluation_input
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):
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"""Send evaluation to Deeploy."""
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try:
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with st.spinner("Submitting evaluation..."):
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# Call the explain endpoint as it also includes the prediction
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client.evaluate(
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deployment_id, request_log_id, prediction_log_id, evaluation_input
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)
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return True
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except Exception as e:
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logging.error(e)
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st.error(
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"Failed to submit feedback."
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+ "Check whether you are using the right model URL and token for evaluations. "
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+ "Contact Deeploy if the problem persists."
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)
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st.write(f"Error message: {e}")
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def get_model_url():
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model_url = st.text_area(
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"Model URL (without the /explain endpoint, default is the demo deployment)",
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@@ -112,10 +91,27 @@ with st.sidebar:
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}
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client = Client(**client_options)
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#
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# Attributes
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st.subheader("Loan Application")
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with st.expander("Application form", expanded=False):
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@@ -202,18 +198,17 @@ if deployment_token != "my-secret-token":
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)
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if predict_button:
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st.session_state.predict_button_clicked = True
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st.session_state.selected = "Loan Decision"
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if st.session_state.selected == "Loan Decision":
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# If no prediction, show "loading..."
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# FIXME: Cleanup session state so that it's not sending a request to the explain endpoint each time
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try:
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with st.spinner("Loading prediction and explanation..."):
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# Call the explain endpoint as it also includes the prediction
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exp = client.explain(
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request_body=request_body, deployment_id=deployment_id
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)
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# Read explanation to dataframe from json
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predictions = exp["predictions"]
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request_log_id = exp["requestLogId"]
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@@ -362,13 +357,14 @@ if st.session_state.selected == "Loan Decision":
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)
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ChangeButtonColour("No, I disagree", "white", "#DD360C")
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# ChangeButtonColour("No, I disagree", "#DD360C", "#F0F0F0")
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if yes_button:
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st.session_state.eval_selected = True
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st.session_state.evaluation_input = {
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"result": 0 # Agree with the prediction
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}
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placeholder = "Income is sufficient, given applicant's background"
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if no_button:
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st.session_state.eval_selected = True
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desired_output = not predictions[0]
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@@ -376,47 +372,14 @@ if st.session_state.selected == "Loan Decision":
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"result": 1, # Disagree with the prediction
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"value": {"predictions": [desired_output]},
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}
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placeholder = "Income is too low, given applicant's background"
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if 'success' not in st.session_state:
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st.session_state['success'] = False
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if st.session_state.eval_selected:
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comment = st.text_input("Would you like to add a comment?", placeholder=placeholder)
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if comment:
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st.session_state.evaluation_input["explanation"] = comment
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)
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success = True
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print(success)
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if st.button("Submit", key="submit_button"):
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with st.spinner("Submitting evaluation..."):
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try:
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# Call the explain endpoint as it also includes the prediction
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client.evaluate(
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deployment_id, request_log_id, prediction_log_id, evaluation_input
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)
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except Exception as e:
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success = False
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logging.error(e)
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st.error(
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"Failed to submit feedback."
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+ "Check whether you are using the right model URL and token for evaluations. "
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+ "Contact Deeploy if the problem persists."
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)
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st.write(f"Error message: {e}")
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print(success)
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if success:
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st.session_state.success = True
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else:
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st.error("Evaluation failed. Check whether your token allows for evaluations.")
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# st.session_state.eval_selected = False
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# yes_button = False
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# no_button = False
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# print(st.session_state.success)
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# print(st.session_state.success)
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if st.session_state.success:
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st.success("Feedback submitted successfully.")
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except Exception as e:
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logging.error(e)
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@@ -425,4 +388,3 @@ if st.session_state.selected == "Loan Decision":
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+ "Check whether you are using the right model URL and Token. "
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+ "Contact Deeploy if the problem persists."
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)
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# st.write(f"Error message: {e}")
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)
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def get_model_url():
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model_url = st.text_area(
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"Model URL (without the /explain endpoint, default is the demo deployment)",
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}
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client = Client(**client_options)
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def submit_and_clear():
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try:
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# Call the explain endpoint as it also includes the prediction
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client.evaluate(
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deployment_id, request_log_id, prediction_log_id, st.session_state.evaluation_input
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)
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st.toast(":green[Feedback submitted successfully.]", icon="✅")
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st.session_state.eval_selected = False
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st.session_state.predict_button_clicked = False
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st.session_state.eval_selected = False
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except Exception as e:
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logging.error(e)
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st.error(
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"Failed to submit feedback."
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+ "Check whether you are using the right model URL and token for evaluations. "
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+ "Contact Deeploy if the problem persists."
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)
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st.toast(f"Failed to submit feedback: {e}")
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+
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# Attributes
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st.subheader("Loan Application")
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with st.expander("Application form", expanded=False):
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)
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if predict_button:
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st.session_state.predict_button_clicked = True
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# st.session_state.selected = "Loan Decision"
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with st.spinner("Loading prediction and explanation..."):
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# Call the explain endpoint as it also includes the prediction
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exp = client.explain(
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request_body=request_body, deployment_id=deployment_id
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)
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st.session_state.exp = exp
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if st.session_state.predict_button_clicked:
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try:
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exp = st.session_state.exp
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# Read explanation to dataframe from json
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predictions = exp["predictions"]
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request_log_id = exp["requestLogId"]
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)
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ChangeButtonColour("No, I disagree", "white", "#DD360C")
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# ChangeButtonColour("No, I disagree", "#DD360C", "#F0F0F0")
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if "eval_selected" not in st.session_state:
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st.session_state["eval_selected"] = False
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if yes_button:
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st.session_state.eval_selected = True
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st.session_state.evaluation_input = {
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"result": 0 # Agree with the prediction
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}
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st.session_state.placeholder = "Income is sufficient, given applicant's background"
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if no_button:
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st.session_state.eval_selected = True
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desired_output = not predictions[0]
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"result": 1, # Disagree with the prediction
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"value": {"predictions": [desired_output]},
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}
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st.session_state.placeholder = "Income is too low, given applicant's background"
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if st.session_state.eval_selected:
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comment = st.text_input("Would you like to add a comment?", placeholder=st.session_state.placeholder)
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if comment:
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st.session_state.evaluation_input["explanation"] = comment
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st.button("Submit", key="submit_button", on_click=submit_and_clear)
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except Exception as e:
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logging.error(e)
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+ "Check whether you are using the right model URL and Token. "
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+ "Contact Deeploy if the problem persists."
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)
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