מעבר מ-PaLM API ל-Gemini API

במדריך הזה מוסבר איך להעביר את קוד Python מהשימוש ב-PaLM API ו-Gemini API. אפשר ליצור גם שיחות טקסט וגם שיחות עם ריבוי פניות (צ'אט) עם Gemini, אבל חשוב לבדוק את התשובות שלכם, כי יכול להיות שונות מפלטי PaLM.

סיכום ההבדלים ב-API

  1. שמות ה-method השתנו. במקום להשתמש בשיטות נפרדות כדי ליצור בטקסט ובצ'אט, יש שיטה אחת generate_content שאפשר לעשות את שתי הפעולות.
  2. ל-Chat יש שיטת עזרה start_chat שמאפשרת להתכתב בצ'אט פשוט יותר.
  3. במקום להשתמש בפונקציות עצמאיות, ממשקי ה-API החדשים הם שיטות כיתה אחת (GenerativeModel).
  4. המבנה של תגובת הפלט השתנה.
  5. הקטגוריות של הגדרות הבטיחות השתנו. עיינו ב פרטים נוספים במדריך בנושא הגדרות בטיחות.

יצירת טקסט: בסיסי

PaLM Gemini
pip install google-generativeai

import google.generativeai as palm
import os

palm.configure(
    api_key=os.environ['API_KEY'])

response = palm.generate_text(
    prompt="The opposite of hot is")
print(response.result) #  'cold.'
        
pip install google-generativeai

import google.generativeai as genai
import os

genai.configure(
    api_key=os.environ['API_KEY'])
model = genai.GenerativeModel(
    model_name='gemini-pro')

response = model.generate_content(
          'The opposite of hot is')
print(response.text)
    #  The opposite of hot is cold.'
        

יצירת טקסט: פרמטרים אופציונליים

PaLM Gemini
pip install google-generativeai

import google.generativeai as palm
import os

palm.configure(
    api_key=os.environ['API_KEY'])

prompt = """
You are an expert at solving word
problems.

Solve the following problem:

I have three houses, each with three
cats. Each cat owns 4 mittens, and a hat.
Each mitten was knit from 7m of yarn,
each hat from 4m. How much yarn was
needed to make all the items?

Think about it step by step, and show
your work.
"""

completion = palm.generate_text(
    model=model,
    prompt=prompt,
    temperature=0,
    # The maximum length of response
    max_output_tokens=800,
)

print(completion.result)
        
pip install google-generativeai

import google.generativeai as genai
import os

genai.configure(
    api_key=os.environ['API_KEY'])
model = genai.GenerativeModel(
    model_name='gemini-pro')

prompt = """
You are an expert at solving word
problems.

Solve the following problem:

I have three houses, each with three
cats. Each cat owns 4 mittens, and a hat.
Each mitten was knit from 7m of yarn,
each hat from 4m. How much yarn was
needed to make all the items?

Think about it step by step, and show
your work.
"""

completion = model.generate_content(
    prompt,
    generation_config={
        'temperature': 0,
        'max_output_tokens': 800
    }
)

print(completion.text)
        

Chat: בסיסי

PaLM Gemini
pip install google-generativeai

import google.generativeai as palm
import os

palm.configure(
    api_key=os.environ['API_KEY'])

chat = palm.chat(
    messages=["Hello."])
print(chat.last)
    #  'Hello! What can I help you with?'
chat = chat.reply(
    "Just chillin'")
print(chat.last)
    #  'That's great! ...'
        
pip install google-generativeai

import google.generativeai as genai
import os

genai.configure(
    api_key=os.environ['API_KEY'])
model = genai.GenerativeModel(
    model_name='gemini-pro')
chat = model.start_chat()

response = chat.send_message(
          "Hello.")
print(response.text)
response = chat.send_message(
          "Just chillin'")
print(response.text)
        

Chat: היסטוריית השיחות

PaLM Gemini
chat.messages

[{'author': '0', 'content': 'Hello'},
 {'author': '1', 'content': 'Hello! How can I help you today?'},
 {'author': '0', 'content': "Just chillin'"},
 {'author': '1',
  'content': "That's great! I'm glad you're able to relax and
      take some time for yourself. What are you up to today?"}]
        
chat.history

[parts {
   text: "Hello."
 }
 role: "user",
 parts {
   text: "Greetings! How may I assist you today?"
 }
 role: "assistant",
 parts {
   text: "Just chillin\'"
 }
 role: "user",
 parts {
   text: "That\'s great! I\'m glad to hear
   you\'re having a relaxing time.
   May I offer you any virtual entertainment
   or assistance? I can provide
   you with music recommendations, play
   games with you, or engage in a
   friendly conversation.\n\nAdditionally,
   I\'m capable of generating
   creative content, such as poems, stories,
   or even song lyrics.
   If you\'d like, I can surprise you with
   something unique.\n\nJust
   let me know what you\'re in the mood for,
   and I\'ll be happy to oblige."
 }
 role: "assistant"]
        

Chat: טמפרטורה

PaLM Gemini
# Setting temperature=1 usually produces more zany responses!
chat = palm.chat(messages="What should I eat for dinner tonight? List a few options", temperature=1)
chat.last

'Here are a few ideas ...
        
model = genai.GenerativeModel(model_name='gemini-pro')
chat = model.start_chat()

# Setting temperature=1 usually produces more zany responses!
response = chat.send_message(
        "What should I eat for dinner tonight? List a few options",
          generation_config={
          'temperature': 1.0
        })

print(response.text)

'1. Grilled Salmon with Roasted Vegetables: ...'
        

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