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Dataframe Example Fixed/Updated #198

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Merged
sepandhaghighi merged 3 commits into from
Dec 18, 2025
Merged

Dataframe Example Fixed/Updated #198

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2b78d70
update : sample messages updated to make it more like a prompt.
sadrasabouri Dec 18, 2025
6582d90
replace : pickle file replaced by a csv.
sadrasabouri Dec 18, 2025
5a9bce2
Merge remote-tracking branch 'origin/dev' into fix/dataframe-example
sadrasabouri Dec 18, 2025
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14 changes: 7 additions & 7 deletions examples/dataframe_usage/1_secure_chat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,12 +6,12 @@


sample_messages = [
"Hey, I need help planning my 3-month Europe trip. I'll be visiting France, Italy, and Germany.",
"My budget is around $7,200. I'm trying to keep track of flight costs, hotels, and food.",
"Also here is my email just in case: personal.email@example.com",
"I'm thinking of booking a multi-city flight. Found one for $1240 on Lufthansa.",
"Here's a chunk of my notes: " + "lorem ipsum " * 400, # intentionally long
"My passport number is X12345678. Please remind me to renew it.",
"Hey, I need help planning my 3-month Europe trip. I'll be visiting France, Italy, and Germany. What else information should I give to you?",
"My budget is around $7,200. I'm trying to keep track of flight costs, hotels, and food. Do you need any contact information?",
"Here is my email just in case: personal.email@example.com. What are the options I have for the flight?",
"I'm thinking of booking a multi-city flight. Found one for $1240 on Lufthansa. Do you need more information?",
"OK! Here's a chunk of my notes: " + "lorem ipsum " * 400 + "\n\nCan you book it for me if I give you my information?", # intentionally long
"My passport number is X12345678. Please remind me to renew it, it's a bit old. Should we start the daily plan of the trip?",
"Can you help me create a daily itinerary for France first?",
]

Expand Down Expand Up @@ -41,4 +41,4 @@
session.add_message(r)

df = session.to_dataframe()
df.to_pickle('2_session_df.pkl')
df.to_csv('2_session_df.csv')
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