Bermigrasi dari PaLM API ke Gemini API

Panduan ini menunjukkan cara memigrasikan kode Python dari PaLM API ke Gemini API. Anda dapat membuat percakapan teks dan percakapan multi-giliran (chat) dengan Gemini, tetapi pastikan untuk memeriksa respons Anda karena mungkin berbeda dengan output PaLM.

Ringkasan perbedaan API

  1. Nama metode telah berubah. Daripada memiliki metode terpisah untuk menghasilkan teks dan chat, ada satu metode generate_content yang dapat melakukan keduanya.
  2. Chat memiliki metode bantuan start_chat yang membuat chat lebih sederhana.
  3. Sebagai ganti fungsi mandiri, API baru merupakan metode class GenerativeModel.
  4. Struktur respons output telah berubah.
  5. Kategori setelan keamanan telah diubah. Lihat panduan setelan keamanan untuk mengetahui detailnya.

Pembuatan Teks: Dasar

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.'

Pembuatan Teks: Parameter opsional

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: Dasar

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: Histori percakapan

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: Suhu

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: ...'

Langkah berikutnya