multiline code for openai doc (#1929)

This commit is contained in:
Dev Khant
2024-09-30 23:21:32 +05:30
committed by GitHub
parent 23279d4248
commit 0dbfcbe6d9

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@@ -17,24 +17,32 @@ client = Mem0(api_key="m0-xxx")
# First interaction: Storing user preferences
messages = [
{
"role": "user",
"content": "I love indian food but I cannot eat pizza since allergic to cheese."
},
{
"role": "user",
"content": "I love indian food but I cannot eat pizza since allergic to cheese."
},
]
user_id = "alice"
chat_completion = client.chat.completions.create(messages=messages, model="gpt-4o-mini", user_id=user_id)
chat_completion = client.chat.completions.create(
messages=messages,
model="gpt-4o-mini",
user_id=user_id
)
# Memory saved after this will look like: "Loves Indian food. Allergic to cheese and cannot eat pizza."
# Second interaction: Leveraging stored memory
messages = [
{
"role": "user",
"content": "Suggest restaurants in San Francisco to eat.",
}
{
"role": "user",
"content": "Suggest restaurants in San Francisco to eat.",
}
]
chat_completion = client.chat.completions.create(messages=messages, model="gpt-4o-mini", user_id=user_id)
chat_completion = client.chat.completions.create(
messages=messages,
model="gpt-4o-mini",
user_id=user_id
)
print(chat_completion.choices[0].message.content)
# Answer: You might enjoy Indian restaurants in San Francisco, such as Amber India, Dosa, or Curry Up Now, which offer delicious options without cheese.
```