Spaces:
Sleeping
Sleeping
TTsamurai
commited on
Commit
·
a4f70c9
1
Parent(s):
8d493b8
add loggiong function
Browse files
app.py
CHANGED
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@@ -1,6 +1,10 @@
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import sys
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import os
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import json
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import gradio as gr
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import markdown
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from together import Together
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@@ -49,6 +53,32 @@ SYSTEM_INSTRUECTION_PREFERENCE_ELICITATION_FILE = os.path.join(
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SUMMARIZATION_PROMPT_FILE = os.path.join(STATIC_FILE, "txt/system_summarization_user_preference_elicitation.txt")
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# Load the required static content from files
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def load_static_content(file_path):
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@@ -212,8 +242,9 @@ def add_user_profile_to_system_instruction(
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else:
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summ, _ = generate_response_debugging(summarization_instruction)
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user_preference_elicitation_data["summary_history"] = summ
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log_action(user_id, "Prompt", "Preference Elicitation Summarization", summ)
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-
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system_instruction += f"\nPrevious Conversations with the Customer about the User Profile: {user_preference_elicitation_data['summary_history']}\n"
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else:
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system_instruction += f"\nPrevious Conversations with the Customer about the User Profile: {user_preference_elicitation_data['history']}\n"
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@@ -634,17 +665,38 @@ def create_demo():
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print(f"Tab: {tab_name}\nSystem Output: {outputs_text}")
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# Log the user message and response
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-
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-
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# Store the updated history for this tab
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tab_data["history"] = history
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if user_elicitation:
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print(f"User Elicitation\nSystem Output: {outputs_text}")
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-
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-
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tab_data["history"] = history
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if SESSION_DEBUG:
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-
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return tab_data, "", history
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@@ -690,17 +742,38 @@ def create_demo():
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if tab_name is not None:
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print(f"Tab: {tab_name}\nHistory: {history}")
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# Log the user message and response
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# Store the updated history for this tab
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tab_data["history"] = history
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if user_elicitation:
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print(f"User Elicitation\nHistory: {history}")
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-
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-
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tab_data["history"] = history
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if SESSION_DEBUG:
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-
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return (
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tab_data,
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history,
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@@ -747,25 +820,47 @@ def create_demo():
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outputs_text, history = generate_response_debugging(history_with_user_utterance)
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history = huggingface_to_gradio_message(history)
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if tab_name is not None:
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-
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-
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# Update history for this tab
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tab_data["history"] = history
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if user_elicitation:
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print(f"User Elicitation\nSystem Output: {outputs_text}")
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tab_data["history"] = history
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if SESSION_DEBUG:
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return tab_data, history
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def respond_evaluation(user_id, tab_data, evals, tab_name):
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# dropdown, readon_button, multi-evaluator
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# Store the reason for this tab
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tab_data["multi_evaluator"] = evals
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return (
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@@ -804,11 +899,12 @@ def create_demo():
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<strong>Please make sure that you are not ranking the same stock multiple times.</strong>
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</div>"""
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else:
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log_action(user_id, "Final_Ranking",
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log_action(user_id, "Final_Ranking",
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log_action(user_id, "Final_Ranking",
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log_action(user_id, "Final_Ranking",
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return """<div style="background-color: #d4edda; color: #155724; padding: 15px; border: 1px solid #c3e6cb; border-radius: 5px; margin-bottom: 20px;">
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<strong>Thank you for participating in the experiment. This concludes the session. You may now close the tab.</strong>
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</div>"""
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import sys
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import os
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from datetime import datetime
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import json
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import uuid
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from pathlib import Path
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from huggingface_hub import CommitScheduler
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import gradio as gr
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import markdown
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from together import Together
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)
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SUMMARIZATION_PROMPT_FILE = os.path.join(STATIC_FILE, "txt/system_summarization_user_preference_elicitation.txt")
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uuid_this_session = str(uuid.uuid4())
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feedback_file = Path("user_feedback/") / f"data_{uuid_this_session}.json"
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feedback_folder = feedback_file.parent
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feedback_folder.mkdir(parents=True, exist_ok=True) # Ensure the directory exists
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scheduler = CommitScheduler(
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repo_id="report-translation-feedback",
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repo_type="dataset",
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folder_path=feedback_folder,
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path_in_repo="data",
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every=10,
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)
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# Function to save user feedback
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def save_feedback(user_id: str, uuid: str, type: str, value) -> None:
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"""
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Append input/outputs and user feedback to a JSON Lines file using a thread lock to avoid concurrent writes from different users.
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"""
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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with scheduler.lock:
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with feedback_file.open("a") as f:
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f.write(
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json.dumps({"user_id": user_id, "uuid": uuid, "timestamp": timestamp, "type": type, "value": value})
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)
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f.write("\n")
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# Load the required static content from files
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def load_static_content(file_path):
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else:
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summ, _ = generate_response_debugging(summarization_instruction)
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user_preference_elicitation_data["summary_history"] = summ
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# log_action(user_id, "Prompt", "Preference Elicitation Summarization", summ)
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save_feedback(user_id, uuid_this_session, "Preference_Elicitation_Summarization", summ)
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# print(f"Preference Summary:{summ}")
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system_instruction += f"\nPrevious Conversations with the Customer about the User Profile: {user_preference_elicitation_data['summary_history']}\n"
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else:
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system_instruction += f"\nPrevious Conversations with the Customer about the User Profile: {user_preference_elicitation_data['history']}\n"
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print(f"Tab: {tab_name}\nSystem Output: {outputs_text}")
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# Log the user message and response
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save_feedback(
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user_id, uuid_this_session, "Interaction", {"type": tab_name, "role": "user", "content": message}
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)
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": tab_name, "role": "assistant", "content": outputs_text},
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)
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# log_action(user_id, tab_name, "User Message", message)
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# log_action(user_id, tab_name, "Response", outputs_text)
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# Store the updated history for this tab
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tab_data["history"] = history
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if user_elicitation:
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print(f"User Elicitation\nSystem Output: {outputs_text}")
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": "User_Elicitation", "role": "user", "content": message},
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)
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": "User_Elicitation", "role": "assistant", "content": outputs_text},
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)
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# log_action(user_id, "User_Elicitation", "User Message", message)
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# log_action(user_id, "User_Elicitation", "Response", outputs_text)
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tab_data["history"] = history
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# if SESSION_DEBUG:
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# log_action(user_id, "Session", "History", history)
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return tab_data, "", history
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if tab_name is not None:
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print(f"Tab: {tab_name}\nHistory: {history}")
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# Log the user message and response
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save_feedback(
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user_id, uuid_this_session, "Interaction", {"type": tab_name, "role": "user", "content": first_message}
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)
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": tab_name, "role": "assistant", "content": outputs_text},
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)
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# log_action(user_id, tab_name, "User Message", first_message)
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# log_action(user_id, tab_name, "Response", outputs_text)
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# Store the updated history for this tab
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tab_data["history"] = history
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if user_elicitation:
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print(f"User Elicitation\nHistory: {history}")
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": "User_Elicitation", "role": "user", "content": first_message},
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)
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": "User_Elicitation", "role": "assistant", "content": outputs_text},
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)
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# log_action(user_id, "User_Elicitation", "User Message", first_message)
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# log_action(user_id, "User_Elicitation", "Response", outputs_text)
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tab_data["history"] = history
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# if SESSION_DEBUG:
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# log_action(user_id, "Session", "History", history)
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return (
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tab_data,
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history,
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outputs_text, history = generate_response_debugging(history_with_user_utterance)
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history = huggingface_to_gradio_message(history)
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if tab_name is not None:
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save_feedback(
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user_id, uuid_this_session, "Interaction", {"type": tab_name, "role": "user", "content": message}
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)
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": tab_name, "role": "assistant", "content": outputs_text},
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)
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# log_action(user_id, tab_name, "Show More of the Advisor’s Answer", "User continued the conversation")
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# log_action(user_id, tab_name, "Response", outputs_text)
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# Update history for this tab
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tab_data["history"] = history
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if user_elicitation:
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print(f"User Elicitation\nSystem Output: {outputs_text}")
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": "User_Elicitation", "role": "user", "content": message},
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)
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save_feedback(
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user_id,
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uuid_this_session,
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"Interaction",
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{"type": "User_Elicitation", "role": "assistant", "content": outputs_text},
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)
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# log_action(user_id, "User_Elicitation", "Response", outputs_text)
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tab_data["history"] = history
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# if SESSION_DEBUG:
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# log_action(user_id, "Session", "History", history)
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return tab_data, history
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def respond_evaluation(user_id, tab_data, evals, tab_name):
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# dropdown, readon_button, multi-evaluator
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save_feedback(user_id, uuid_this_session, "Round_Evaluation", evals)
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# log_action(user_id, tab_name, "Round Evaluation", "Following")
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# for key, value in evals.items():
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# log_action(user_id, tab_name, key, value)
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# Store the reason for this tab
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tab_data["multi_evaluator"] = evals
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return (
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<strong>Please make sure that you are not ranking the same stock multiple times.</strong>
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</div>"""
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else:
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save_feedback(user_id, uuid_this_session, "Final_Ranking", {first_comp: ranking_first_comp, second_comp: ranking_second_comp, third_comp: ranking_third_comp, fourth_comp: ranking_fourth_comp, fifth_comp: ranking_fifth_comp})
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# log_action(user_id, "Final_Ranking", first_comp, ranking_first_comp)
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# log_action(user_id, "Final_Ranking", second_comp, ranking_second_comp)
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# log_action(user_id, "Final_Ranking", third_comp, ranking_third_comp)
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# log_action(user_id, "Final_Ranking", fourth_comp, ranking_fourth_comp)
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# log_action(user_id, "Final_Ranking", fifth_comp, ranking_fifth_comp)
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return """<div style="background-color: #d4edda; color: #155724; padding: 15px; border: 1px solid #c3e6cb; border-radius: 5px; margin-bottom: 20px;">
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<strong>Thank you for participating in the experiment. This concludes the session. You may now close the tab.</strong>
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</div>"""
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