Spaces:
Sleeping
Sleeping
shigeru saito
commited on
Commit
·
3d9d048
1
Parent(s):
168b94f
リクエストごとにインスタンス化、出力メッセージをjsonからフリーテキストに変更、functionsにdescription, examplesを追加、テストコード追加
Browse files- .gitignore +1 -0
- app.py +149 -27
.gitignore
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@@ -0,0 +1 @@
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.env
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app.py
CHANGED
@@ -5,6 +5,7 @@ import os
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import fileinput
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from dotenv import load_dotenv
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import io
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import json
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from PIL import Image
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from stability_sdk import client
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@@ -48,6 +49,24 @@ def get_filetext(filename, cache={}):
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cache[filename] = text
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return text
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class OpenAI:
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@classmethod
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@@ -110,18 +129,20 @@ class OpenAI:
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)
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# ChatCompletion APIから返された結果を取得する
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-
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print(
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return
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class NajiminoAI:
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-
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-
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template = get_filetext(filename="template.md")
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prompt = f"""
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{user_message}
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---
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上記を元に、下記テンプレートを埋めてください。
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---
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@@ -129,22 +150,43 @@ class NajiminoAI:
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"""
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return prompt
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@classmethod
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def
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# prompt = NajiminoAI.generate_emo_prompt(user_message);
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# start_with = ""
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# result = OpenAI.chat_completion(prompt=prompt, start_with=start_with)
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# result = OpenAI.chat_completion(prompt=user_message, start_with=start_with)
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constraints = get_filetext(filename = "constraints.md")
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messages = [
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{"role": "system", "content": constraints}
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,{"role": "user", "content": user_message}
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]
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functions = [
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{
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"name": "
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"description": "どんな料理か教えてくれれば,新しいレシピを考えます",
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"parameters": {
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"type": "object",
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@@ -154,11 +196,11 @@ class NajiminoAI:
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"lang",
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"title",
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"description",
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"instruction",
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"comment_feelings_taste",
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-
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"
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# "prompt_for_visual_expression_in_en"
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],
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"properties": {
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"lang": {
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"title": {
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"type": "string",
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"default": "",
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"title": "
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"examples": [
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"
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]
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},
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"description": {
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"type": "string",
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"default": "",
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"title": "
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},
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"instruction": {
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"type": "string",
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"default": "",
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"title": "
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},
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"comment_feelings_taste": {
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"type": "string",
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"default": "",
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"title": "
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},
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"explanation_to_blind_person": {
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"type": "string",
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"default": "",
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"title": "
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},
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"prompt_for_visual_expression_in_en": {
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"type": "string",
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"default": "",
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"title": "The Schema of prompt for visual expression in English"
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}
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}
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}
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}
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]
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-
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-
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def main():
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iface = gr.Interface(fn=NajiminoAI.
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inputs=gr.Textbox(label=inputs_label),
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outputs=[gr.Textbox(label=inputs_label), gr.Image(label=visual_outputs_label)],
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title=title,
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iface.launch()
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if __name__ == '__main__':
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-
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import fileinput
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from dotenv import load_dotenv
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import io
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import sys
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import json
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from PIL import Image
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from stability_sdk import client
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cache[filename] = text
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return text
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class StabilityAI:
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@classmethod
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def generate_image(cls, visualize_prompt):
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print("visualize_prompt:"+visualize_prompt)
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answers = stability_api.generate(
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prompt=visualize_prompt,
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)
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for resp in answers:
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for artifact in resp.artifacts:
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if artifact.finish_reason == generation.FILTER:
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print("NSFW")
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if artifact.type == generation.ARTIFACT_IMAGE:
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img = Image.open(io.BytesIO(artifact.binary))
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return img
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class OpenAI:
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@classmethod
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)
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# ChatCompletion APIから返された結果を取得する
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message = response.choices[0].message
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print(json.dumps(message, indent=2))
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return message
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class NajiminoAI:
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def __init__(self, user_message):
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self.user_message = user_message
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def generate_recipe_prompt(self):
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template = get_filetext(filename="template.md")
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prompt = f"""
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{self.user_message}
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---
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上記を元に、下記テンプレートを埋めてください。
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---
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"""
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return prompt
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def format_recipe(self, lang, title, description, ingredients, instruction, comment_feelings_taste, explanation_to_blind_person, prompt_for_visual_expression_in_en):
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debug_message = f"""
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lang: {lang}
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title: {title}
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description: {description}
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ingredients: {ingredients}
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instruction: {instruction}
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comment_feelings_taste: {comment_feelings_taste}
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explanation_to_blind_person: {explanation_to_blind_person}
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prompt_for_visual_expression_in_en: {prompt_for_visual_expression_in_en}
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"""
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print(debug_message)
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return debug_message
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@classmethod
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def generate(cls, user_message):
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najiminoai = NajiminoAI(user_message)
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return najiminoai.generate_recipe()
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def generate_recipe(self):
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user_message = self.user_message
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constraints = get_filetext(filename = "constraints.md")
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messages = [
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{"role": "system", "content": constraints}
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,{"role": "user", "content": user_message}
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]
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functions = [
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{
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"name": "format_recipe",
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"description": "どんな料理か教えてくれれば,新しいレシピを考えます",
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"parameters": {
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"type": "object",
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"lang",
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"title",
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"description",
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"ingredients",
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"instruction",
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"comment_feelings_taste",
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"explanation_to_blind_person",
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"prompt_for_visual_expression_in_en"
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],
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"properties": {
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"lang": {
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"title": {
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"type": "string",
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"default": "",
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"title": "Title of New Recipe.",
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"description": "Write your title of new recipe.",
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"examples": [
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"グルテンフリーサバのお好み焼き"
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]
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},
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"description": {
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"type": "string",
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"default": "",
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"title": "Your New Recipe",
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"description": "Write new recipe and brainstorm and work out the details of every aspect of the new recipe.",
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"examples": [
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"サバを使ったお好み焼きのレシピです。グルテンフリー仕様で作られているので、小麦粉を使わずに作ることができます。"
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]
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},
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"ingredients": {
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"type": "string",
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"default": "",
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"title": "Your Ingredients",
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"description": "Brainstorm the ingredients needed to cook a new recipe and come up with all the ingredients for the new recipe.",
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"examples": [
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"・サバのフィレ 200g\n・卵 2個\n・キャベツ 1/4個\n・もやし 50g\n・紅しょうが(刻んだもの) 2片\n・ネギ(小口切り) 適量\n・酒大さじ2\n・しょうゆ 大さじ2\n・だし汁 100ml\n・片栗粉 大さじ2\n・サラダ油 お好みで"
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]
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},
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"instruction": {
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"type": "string",
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"default": "",
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"title": "Your Instruction",
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"description": "Instruct them to cook a new recipe, brainstorming and working out every aspect and detail of the new recipe.",
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"examples": [
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"1. キャベツは粗みじん切りにし、もやしは石づきを取っておく。\n2. ボウルに卵を割り入れ、よく混ぜる。酒、しょうゆ、だし汁を加えてさらに混ぜる。\n3. キャベツ、もやし、紅しょうが、ネギを卵液に加え、さらに混ぜる。\n4. サバのフィレを食べやすい大きさに切り、片栗粉をまぶす。\n5. フライパンにサラダ油を熱し、サバを並べ入れる。両面をこんがり焼く。\n6. サバの上に卵液を流し入れ、蓋をして約5分ほど蒸し焼きにする。\n7. ひっくり返して、もう片面も蓋をして約5分ほど蒸し焼きにする。\n8. お好み焼きを取り出し、お好みでソースやマヨネーズをかけて完成です。"
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]
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},
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"comment_feelings_taste": {
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"type": "string",
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"default": "",
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"title": "Your Comment and Feelings, taste of new recipe.",
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"description": "Review commnet of new recipe and brainstorm every point of new recipe to fill the details.",
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"examples": [
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"このグルテンフリーサバのお好み焼きは、サバの旨味とキャベツの甘みが絶妙にマッチしています。表面はサクサク、中はもちもちとした食感で、一度食べたらやみつきになる美味しさです。"
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]
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},
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"explanation_to_blind_person": {
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"type": "string",
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"default": "",
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"title": "Your Explanation to Blind Person",
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"description": "Review commnet of new recipe here to explain to the blind people more concretely in detail. Please brainstorm every point of new recipe to fill the details.",
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"examples": [
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"このグルテンフリーサバのお好み焼きは、サバのフィレとキャベツを主な材料としています。まず、キャベツを細かく刻んでおきます。次に、卵をボウルに割り入れ、酒、しょうゆ、だし汁と一緒によく混ぜます。その後、刻んだキャベツ、もやし、紅しょうが、ネギを卵液に加えて混ぜます。サバのフィレは食べやすい大きさに切り、片栗粉をまぶしてから焼きます。フライパンにサラダ油を熱し、サバを焼きます。その上に卵液を流し入れ、蓋をして約5分蒸し焼きにします。ひっくり返して、もう片面も蓋をして約5分蒸し焼きにします。最後にお好み焼きを取り出し、ソースやマヨネーズをかけて完成です。"
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]
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},
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"prompt_for_visual_expression_in_en": {
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"type": "string",
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"default": "",
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"title": "The Schema of prompt for visual expression in English",
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"examples": [
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"Imagine a delicious gluten-free okonomiyaki with mackerel. The okonomiyaki is crispy on the outside and chewy on the inside. It is topped with savory sauce and creamy mayonnaise, creating a mouthwatering visual. The dish is garnished with finely chopped green onions and red pickled ginger, adding a pop of color. The mackerel fillets are beautifully grilled and placed on top of the okonomiyaki, adding a touch of elegance. The dish is served on a traditional Japanese plate, completing the visual presentation."
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]
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}
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}
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}
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}
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]
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message = OpenAI.chat_completion_with_function(prompt=user_message, messages=messages, functions=functions)
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# resultからfunction_callを取り出す
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# message = result["function_call"]
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print(json.dumps(message, indent=2))
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if message.get("function_call"):
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function_name = message["function_call"]["name"]
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args = json.loads(message["function_call"]["arguments"])
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lang=args.get("lang")
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title=args.get("title")
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description=args.get("description")
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ingredients=args.get("ingredients")
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instruction=args.get("instruction")
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comment_feelings_taste=args.get("comment_feelings_taste")
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explanation_to_blind_person=args.get("explanation_to_blind_person")
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prompt_for_visual_expression_in_en=args.get("prompt_for_visual_expression_in_en")
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function_response = self.format_recipe(
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lang=lang,
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title=title,
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description=description,
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ingredients=ingredients,
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instruction=instruction,
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comment_feelings_taste=comment_feelings_taste,
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explanation_to_blind_person=explanation_to_blind_person,
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prompt_for_visual_expression_in_en=prompt_for_visual_expression_in_en
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)
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answers = StabilityAI.generate_image(prompt_for_visual_expression_in_en)
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return [function_response, answers]
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def main():
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iface = gr.Interface(fn=NajiminoAI.generate,
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inputs=gr.Textbox(label=inputs_label),
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outputs=[gr.Textbox(label=inputs_label), gr.Image(label=visual_outputs_label)],
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title=title,
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iface.launch()
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if __name__ == '__main__':
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function = ''
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if len(sys.argv) > 1:
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function = sys.argv[1]
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if function == 'generate':
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NajiminoAI.generate("グルテンフリーの香ばしいサバのお好み焼き")
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elif function == 'generate_image':
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answers = StabilityAI.generate_image("Imagine a delicious gluten-free okonomiyaki with mackerel. The okonomiyaki is crispy on the outside and chewy on the inside. It is topped with savory sauce and creamy mayonnaise, creating a mouthwatering visual. The dish is garnished with finely chopped green onions and red pickled ginger, adding a pop of color. The mackerel fillets are beautifully grilled and placed on top of the okonomiyaki, adding a touch of elegance. The dish is served on a traditional Japanese plate, completing the visual presentation.")
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print(answers)
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# <PIL.PngImagePlugin.PngImageFile image mode=RGB size=512x512 at 0x139900430>
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import PIL
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# answersが何のクラス確認する
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if type(answers) == PIL.PngImagePlugin.PngImageFile:
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#save image
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answers.save("image.png")
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else:
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main()
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