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Update app.py
Browse files
app.py
CHANGED
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@@ -1,11 +1,16 @@
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from qdrant_client import QdrantClient
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import cohere
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import gradio as gr
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import os
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from dotenv import load_dotenv
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import smtplib
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from email.mime.text import MIMEText
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import json
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from pptx import Presentation
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from pptx.util import Pt
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load_dotenv(verbose=True)
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# Initialize Qdrant and Cohere clients
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client = QdrantClient(url=os.environ.get("QDRANT_URL"))
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cohere_client = cohere.Client(api_key=os.environ.get("COHERE_API_KEY"))
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co = cohere.ClientV2(api_key=os.environ.get("COHERE_API_KEY"))
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def create_metapptx(file_name,key):
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url = f"https://www.ryhintl.com/dbjson/getjson?sqlcmd=select * from ku_keyslides where main_title = '"+key+"'"
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response = requests.get(url)
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@@ -73,7 +115,7 @@ def create_metapptx(file_name,key):
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if os.path.exists(corplogoename):
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os.remove(corplogoename)
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else:
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picture = slide.shapes.add_picture("
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# 2枚目
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title_slide_layout = prs.slide_layouts[1]
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@@ -248,42 +290,122 @@ def create_metapptx(file_name,key):
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prs.save(file_name)
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return f"ファイル '{file_name}' が生成されました!"
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def send_gmail(mail_from, mail_to, mail_subject, mail_body):
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'''settings_file = open('settings.json','r')
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settings_data = json.load(settings_file)
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try:
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except Exception as e:
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# Function to handle search query
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def search(query: str):
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global sent_mails
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# Embed query using Cohere
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response = cohere_client.embed(
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limit=1,
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).points
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# Filter points based on similarity threshold
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similarity_threshold = 0.
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filtered_points = [point for point in results if point.score >= similarity_threshold]
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# Apply limit to the filtered points
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final_limit = len(filtered_points) # Example limit
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limited_points = filtered_points[:final_limit]
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'''# Output limited points
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divider = len(limited_points)
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total_score = 0
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for point in limited_points:
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total_score += point.score
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#print(f"ID: {point.id}, Similarity: {point.score}, Payload: {point.payload}")
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taken_avg = total_score / divider'''
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# Assuming `results` is a list of ScoredPoint objects
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payload_list = []
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# Iterate through the limited results and extract payloads
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for point in limited_points:
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# Access the payload attribute and append it to the list
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payload_list.append(point.payload)
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# Template for the invitation letter
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template = ""
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# Generate invitation letters
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letters = []
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for invitee in payload_list:
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# Replace placeholders in the template with actual invitee information
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letter = template.format(
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表題=invitee['kx_subject'],
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コンテンツ=invitee['kx_content'],
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業種=invitee['kx_industry'],
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作成者=invitee['kx_creator']
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)
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#send mails
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#sent_mails += send_gmail("info@mycompany.com", invitee['kx_creator'], "ご招待", letter)
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# Append the generated letter to the list
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letters.append(letter)
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# Print generated letters
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invitations = ""
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for idx, letter in enumerate(letters, start=1):
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invitations += f"Invitation Letter {idx}:\n{letter}\n"
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# Prepare results in a user-friendly format
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formatted_results = [
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f"kx_subject: {point.payload['kx_subject']}\nkx_content: {point.payload['kx_content']}\nkx_creator: {point.payload['kx_creator']}\nkx_industry: {point.payload['kx_industry']}\nkx_kind: {point.payload['kx_kind']}\nkx_category: {point.payload['kx_category']}\nkx_date: {point.payload['kx_date']}"
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for point in results
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]
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final_result = "\n\n".join(formatted_results)
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res = co.chat(
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start_index = final.find(start_marker) + len(start_marker)
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end_index = final.rfind(end_marker)
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#content_between = final[start_index:end_index].strip()
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#print("content_between:",content_between)
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#print("final:","\n\n".join(formatted_results))
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#return "\n\n".join(formatted_results)
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#return final_result,content_between
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#return final_result,invitations,sent_mails,taken_avg
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return final
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dataid = requests.get("https://www.ryhintl.com/dbjson/getjson?sqlcmd=select main_title from ku_keyslides")
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#
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with gr.
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with gr.
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with gr.Row():
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result = gr.Textbox(label="結果", show_copy_button=True)
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with gr.Row():
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submit_btn = gr.Button("実行")
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clear_btn = gr.Button("クリア")
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with gr.Row():
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gr.Markdown("📧 ベクターDBに保存されている知識ベースのインベントリを使用して
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with gr.Row():
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file_name_input = gr.Textbox(label="ファイル名を入力してください", value="test.pptx")
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generate_button = gr.Button("生成")
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generate_button.click(create_metapptx, inputs=[file_name_input,find_key], outputs=output)
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import gradio as gr
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import cohere
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import os
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from dotenv import load_dotenv
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from email.mime.text import MIMEText
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import json
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from huggingface_hub import list_models
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from qdrant_client.models import Distance, VectorParams
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from qdrant_client import QdrantClient, models
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import uuid
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import base64
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import requests
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from pptx import Presentation
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from pptx.util import Pt
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load_dotenv(verbose=True)
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# Initialize Qdrant and Cohere clients
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client = QdrantClient(url=os.environ.get("QDRANT_URL"), api_key=os.environ.get("QDRANT_API_KEY"))
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cohere_client = cohere.Client(api_key=os.environ.get("COHERE_API_KEY"))
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co = cohere.ClientV2(api_key=os.environ.get("COHERE_API_KEY"))
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'''# OAuthProfile example
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class OAuthProfile:
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def __init__(self, name, username, profile, picture):
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self.name = name
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self.username = username
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self.profile = profile
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self.picture = picture
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oauth_profile = OAuthProfile(
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name="",
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username="",
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profile="",
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picture=""
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)'''
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def create_metapptx(file_name,key):
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'''meta = {
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"main_title":"AIエージェントについて",
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"mokuji1":"AIエージェントの概要",
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"mokuji2":"主な特徴",
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"mokuji3":"仕組みと応用例",
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"mokuji4":"課題と展望",
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"p3_title":"AIエージェントの概要",
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"p3_body":"AIエージェントは、人間のように自律的に行動し、特定の目標を達成するために設計された高度なAIシステムです。これらのエージェントは、環境から情報を取得し、意思決定を行い、行動を実行する能力を持っています。その結果、複雑なタスクを自動化し、効果的な解決策を提供できます。",
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"p4_title":"主な特徴",
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"p4_body1":"自律性: エージェントは自ら判断を行い、与えられたタスクを進めます。",
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"p4_body2":"適応性: 環境の変化に応じて行動を調整し、新しい状況に適応します。",
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"p4_body3":"連携能力: 複数のエージェントが協力してタスクを実行し、より複雑な問題に対応します。",
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"p5_title":"応用例",
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"p5_body1":"バーチャルアシスタント: 自然言語処理を活用してカスタマーサポートやスケジュール管理を支援。",
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"p5_body2":"自動運転: 車両が周囲の状況を検出し、安全なルートを計画。",
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"p5_body3":"医療分野: 症状を分析し、診断をサポート。",
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"p6_title":"課題と展望",
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"p6_body":"Issues & Prospect",
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"p6_para1":"課題:・プライバシー問題や倫理的懸念。・誤った判断によるリスク。",
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"p6_para2":"展望:・生成AIと統合することで、より高度な機能を実現。・新しい産業への適用範囲の拡大。"
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}'''
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url = f"https://www.ryhintl.com/dbjson/getjson?sqlcmd=select * from ku_keyslides where main_title = '"+key+"'"
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response = requests.get(url)
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if os.path.exists(corplogoename):
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os.remove(corplogoename)
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else:
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picture = slide.shapes.add_picture("/Users/richardhuh/Desktop/stock_research/ryhlogo.png", Inches(0.2), Inches(0.2), width=Inches(0.5), height=Inches(0.5))
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# 2枚目
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title_slide_layout = prs.slide_layouts[1]
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prs.save(file_name)
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return f"ファイル '{file_name}' が生成されました!"
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def greeting(profile: gr.OAuthProfile | None) -> str:
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if profile is None:
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return "⛔️"
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else:
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print("profile:",profile)
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state.value["loginuser"] = profile.name
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return f"ようこそ! {profile.name}さん"
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#if profile is None:
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#return "⛔️"
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#return f"ようこそ! {profile.name}さん"
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+
|
| 306 |
+
|
| 307 |
+
def list_private_models(profile: gr.OAuthProfile | None, oauth_token: gr.OAuthToken | None) -> tuple[str, gr.update, gr.update]:
|
| 308 |
+
gr.Textbox(oauth_token)
|
| 309 |
+
if oauth_token is None:
|
| 310 |
+
state.value["loginuser"] = "HuggingFaceにログインしてください。"
|
| 311 |
+
state.value["picture"] = ""
|
| 312 |
+
return "HuggingFaceにログインしてください。", gr.update(visible=False), gr.update(visible=False) #, gr.update(visible=False)
|
| 313 |
+
#models = [
|
| 314 |
+
#f"{model.id} ({'private' if model.private else 'public'})"
|
| 315 |
+
#for model in list_models(author=profile.username, token=oauth_token.token)
|
| 316 |
+
#]
|
| 317 |
+
userinfo = f"""名前: {profile.name}さん\nID: {profile.username}\nプロファイル: {profile.profile}"""
|
| 318 |
+
print("userinfo:",userinfo)
|
| 319 |
+
state.value["loginuser"] = userinfo
|
| 320 |
+
state.value["picture"] = profile.picture
|
| 321 |
+
|
| 322 |
+
print("pic:",state.value["picture"],profile.picture)
|
| 323 |
+
print("login-user:",state.value["loginuser"],userinfo)
|
| 324 |
+
|
| 325 |
+
'''global oauth_profile
|
| 326 |
+
oauth_profile = OAuthProfile(
|
| 327 |
+
name=profile.name,
|
| 328 |
+
username=profile.username,
|
| 329 |
+
profile=profile.profile,
|
| 330 |
+
picture=profile.picture
|
| 331 |
+
)'''
|
| 332 |
+
|
| 333 |
+
#return profile.username, gr.update(visible=True), gr.update(visible=True) #, gr.update(visible=True)
|
| 334 |
+
return userinfo, gr.update(visible=True), gr.update(visible=True) #, gr.update(visible=True)
|
| 335 |
+
|
| 336 |
+
def user_info(state):
|
| 337 |
+
print("state:", state)
|
| 338 |
+
uinfo = f"""情報: {state["loginuser"]}"""
|
| 339 |
+
gr.Info(uinfo)
|
| 340 |
+
#gr.Info("情報: Created by RYH International.")
|
| 341 |
+
|
| 342 |
+
return gr.update(visible=True)
|
| 343 |
|
| 344 |
+
def auth(user_name, password):
|
| 345 |
+
encoded = base64.b64encode(password.encode("utf-8"))
|
| 346 |
+
|
| 347 |
+
# APIエンドポイントのURL
|
| 348 |
+
url = "https://www.ryhintl.com/dbjson/getjson?sqlcmd=select userid from ku_credential where password = '" + encoded.decode("utf-8") + "'"
|
| 349 |
+
|
| 350 |
+
# GETリクエストの例
|
| 351 |
+
response = requests.get(url)
|
| 352 |
+
if response.status_code == 200:
|
| 353 |
+
credential_id = response.content.decode('utf-8')
|
| 354 |
+
parsed_data = json.loads(credential_id)
|
| 355 |
+
|
| 356 |
+
# useridを取得
|
| 357 |
+
taken_userid = parsed_data[0]["userid"]
|
| 358 |
+
if (taken_userid == user_name):
|
| 359 |
+
state.value["loginuser"] = user_name
|
| 360 |
+
return True # 認証成功
|
| 361 |
+
else:
|
| 362 |
+
return False
|
| 363 |
+
|
| 364 |
+
def process_invitees(state,input_json):
|
| 365 |
try:
|
| 366 |
+
# Parse the JSON input
|
| 367 |
+
invitees = json.loads(input_json)
|
| 368 |
+
|
| 369 |
+
# Generate embeddings using Cohere
|
| 370 |
+
response = cohere_client.embed(
|
| 371 |
+
texts=[
|
| 372 |
+
f"{note.get('kx_subject', '')}, {note.get('kx_creator', '')}, {note.get('kx_content', '')}, {note.get('kx_industry', '')}, {note.get('kx_kind', '')}, {note.get('kx_category', '')}, {note.get('kx_date', '')}"
|
| 373 |
+
for note in invitees
|
| 374 |
+
],
|
| 375 |
+
model="embed-multilingual-v3.0",
|
| 376 |
+
input_type="search_document",
|
| 377 |
+
)
|
| 378 |
+
|
| 379 |
+
# Upload points to Qdrant
|
| 380 |
+
client.upload_points(
|
| 381 |
+
collection_name="knowledge_utility",
|
| 382 |
+
points=[
|
| 383 |
+
models.PointStruct(
|
| 384 |
+
id=uuid.uuid4().hex,
|
| 385 |
+
vector=embedding,
|
| 386 |
+
payload=note,
|
| 387 |
+
)
|
| 388 |
+
for note, embedding in zip(invitees, response.embeddings)
|
| 389 |
+
]
|
| 390 |
+
)
|
| 391 |
+
|
| 392 |
+
return "Data uploaded successfully!"
|
| 393 |
|
| 394 |
except Exception as e:
|
| 395 |
+
return f"Error: {str(e)}"
|
| 396 |
+
|
| 397 |
+
# Function to send Gmail
|
| 398 |
+
def send_gmail(mail_from, mail_to, mail_subject, mail_body):
|
| 399 |
+
try:
|
| 400 |
+
sent_mails = f"From: {mail_from}\nTo: {mail_to}\nSubject: {mail_subject}\nBody:\n{mail_body}\n"
|
| 401 |
+
except Exception as e:
|
| 402 |
+
sent_mails = f"Error sending mail: {str(e)}"
|
| 403 |
+
return sent_mails
|
| 404 |
|
| 405 |
# Function to handle search query
|
| 406 |
+
def search(state,query: str):
|
| 407 |
+
#state["userid"] = "kuuser"
|
| 408 |
+
|
| 409 |
global sent_mails
|
| 410 |
# Embed query using Cohere
|
| 411 |
response = cohere_client.embed(
|
|
|
|
| 421 |
limit=1,
|
| 422 |
).points
|
| 423 |
|
| 424 |
+
for result in results:
|
| 425 |
+
state["score"] = result.score
|
| 426 |
+
|
| 427 |
# Filter points based on similarity threshold
|
| 428 |
+
similarity_threshold = 0.1 # Example threshold for filtering
|
| 429 |
filtered_points = [point for point in results if point.score >= similarity_threshold]
|
| 430 |
|
| 431 |
+
#print("filtered_points:",filtered_points)
|
| 432 |
+
|
| 433 |
# Apply limit to the filtered points
|
| 434 |
final_limit = len(filtered_points) # Example limit
|
| 435 |
limited_points = filtered_points[:final_limit]
|
| 436 |
+
#print("finals:",final_limit,limited_points)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 437 |
|
| 438 |
# Assuming `results` is a list of ScoredPoint objects
|
| 439 |
payload_list = []
|
|
|
|
| 441 |
# Iterate through the limited results and extract payloads
|
| 442 |
for point in limited_points:
|
| 443 |
# Access the payload attribute and append it to the list
|
| 444 |
+
#print("point:",point)
|
| 445 |
payload_list.append(point.payload)
|
| 446 |
+
|
| 447 |
+
#print("payload_list:",payload_list)
|
| 448 |
|
| 449 |
# Template for the invitation letter
|
| 450 |
template = ""
|
| 451 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 452 |
# Prepare results in a user-friendly format
|
| 453 |
formatted_results = [
|
| 454 |
f"kx_subject: {point.payload['kx_subject']}\nkx_content: {point.payload['kx_content']}\nkx_creator: {point.payload['kx_creator']}\nkx_industry: {point.payload['kx_industry']}\nkx_kind: {point.payload['kx_kind']}\nkx_category: {point.payload['kx_category']}\nkx_date: {point.payload['kx_date']}"
|
| 455 |
for point in results
|
| 456 |
]
|
| 457 |
|
| 458 |
+
#print("formatted_results",formatted_results)
|
| 459 |
final_result = "\n\n".join(formatted_results)
|
| 460 |
|
| 461 |
res = co.chat(
|
|
|
|
| 475 |
start_index = final.find(start_marker) + len(start_marker)
|
| 476 |
end_index = final.rfind(end_marker)
|
| 477 |
|
| 478 |
+
return final,state["score"]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 479 |
|
| 480 |
+
# Gradio Blocks Interface
|
| 481 |
+
with gr.Blocks(css="footer {visibility: hidden;} .custom-image {width: 64px; height: 64px;} .custom-btn {width: 150px; height: 30px; background-color: lightblue; border-radius: 10px; font-size: 12px; color: #3C82F6;} #header {display: flex; justify-content: space-between; align-items: center; font-size: 24px; font-weight: bold;} #logo {width: 50px; height: 50px;}",title="Knowledge Utility",theme=gr.themes.Glass()) as ku:
|
| 482 |
+
state = gr.State({
|
| 483 |
+
"userid": "",
|
| 484 |
+
"loginuser": "",
|
| 485 |
+
"picture": "",
|
| 486 |
+
"score": 0
|
| 487 |
+
})
|
| 488 |
+
|
| 489 |
+
gr.LoginButton()
|
| 490 |
+
# ^ add a login button to the Space
|
| 491 |
+
m1 = gr.Markdown()
|
| 492 |
+
m2 = gr.Markdown()
|
| 493 |
+
ku.load(greeting, inputs=None, outputs=m1)
|
| 494 |
+
|
| 495 |
+
with gr.Column():
|
| 496 |
+
gr.HTML('<div id="header"><span>🛡️ Knowledge Utility</span><img id="logo" src="https://www.ryhintl.com/images/ryhlogo/ryhlogo.png" width="64" height="64" alt="Logo"></div>')
|
| 497 |
+
gr.Markdown("# ナレッジ・エージェント")
|
| 498 |
+
gr.Markdown("📧 ベクターDBに保存されている知識ベースのインベントリを使用して知識共有します。")
|
| 499 |
+
|
| 500 |
|
| 501 |
+
with gr.Sidebar(open=False):
|
| 502 |
+
#gr.Image(value=oauth_profile.picture, elem_classes=["custom-image"])
|
| 503 |
+
|
| 504 |
+
gr.HTML("""
|
| 505 |
+
<!DOCTYPE html>
|
| 506 |
+
<html lang="ja">
|
| 507 |
+
<head>
|
| 508 |
+
<meta charset="UTF-8">
|
| 509 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 510 |
+
<title>Knowledge Utility</title>
|
| 511 |
+
<style>
|
| 512 |
+
body {
|
| 513 |
+
font-family: Arial, sans-serif;
|
| 514 |
+
line-height: 1.6;
|
| 515 |
+
background-color: #f4f4f9;
|
| 516 |
+
color: #333;
|
| 517 |
+
margin: 0;
|
| 518 |
+
padding: 0;
|
| 519 |
+
}
|
| 520 |
+
header {
|
| 521 |
+
background: #0078d7;
|
| 522 |
+
color: #fff;
|
| 523 |
+
padding: 1rem 0;
|
| 524 |
+
text-align: center;
|
| 525 |
+
}
|
| 526 |
+
section {
|
| 527 |
+
max-width: 800px;
|
| 528 |
+
margin: 2rem auto;
|
| 529 |
+
padding: 1rem;
|
| 530 |
+
background: #fff;
|
| 531 |
+
border-radius: 5px;
|
| 532 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
|
| 533 |
+
}
|
| 534 |
+
h1, h2, h3 {
|
| 535 |
+
color: #0078d7;
|
| 536 |
+
}
|
| 537 |
+
ul {
|
| 538 |
+
padding-left: 1.5rem;
|
| 539 |
+
}
|
| 540 |
+
footer {
|
| 541 |
+
text-align: center;
|
| 542 |
+
padding: 1rem 0;
|
| 543 |
+
margin-top: 2rem;
|
| 544 |
+
background: #0078d7;
|
| 545 |
+
color: white;
|
| 546 |
+
}
|
| 547 |
+
</style>
|
| 548 |
+
</head>
|
| 549 |
+
<body>
|
| 550 |
+
<header>
|
| 551 |
+
<h1 style="color: white;">Knowledge Utility</h1>
|
| 552 |
+
<p style="color: white;">知識をシェアし、成長を加速させる。</p>
|
| 553 |
+
</header>
|
| 554 |
+
<section>
|
| 555 |
+
<h2>Knowledge Utilityとは?</h2>
|
| 556 |
+
<p>
|
| 557 |
+
Knowledge Utilityは、企業や個人が知識を効果的に共有し、成長を促進するためのプラットフォームです。
|
| 558 |
+
データ、アイデア、専門知識をシームレスに交換し、新たな価値を生み出します。
|
| 559 |
+
</p>
|
| 560 |
+
<h2>主な機能</h2>
|
| 561 |
+
<ul>
|
| 562 |
+
<li><strong>情報の検索:</strong> 高速かつ正確なクエリによる知識の取得。</li>
|
| 563 |
+
<li><strong>データの登録:</strong> 個人または企業の資産をデータベースに統合。</li>
|
| 564 |
+
<li><strong>コラボレーション:</strong> チームやコミュニティ間の知識交換を促進。</li>
|
| 565 |
+
</ul>
|
| 566 |
+
<h2>メリット</h2>
|
| 567 |
+
<p>
|
| 568 |
+
Knowledge Utilityを活用することで、効率の向上、意思決定のスピードアップ、そして
|
| 569 |
+
組織の成長が期待できます。
|
| 570 |
+
</p>
|
| 571 |
+
</section>
|
| 572 |
+
<footer>
|
| 573 |
+
<p>© 2025 Knowledge Utility Platform. All rights reserved.</p>
|
| 574 |
+
</footer>
|
| 575 |
+
</body>
|
| 576 |
+
</html>
|
| 577 |
+
""")
|
| 578 |
+
|
| 579 |
+
with gr.Blocks(css=".custom-btn-container { display: flex; justify-content: center; } .custom-btn { width: 150px; height: 30px; background-color: lightblue; border-radius: 10px; font-size: 12px; color: #3C82F6; }") as ubutton:
|
| 580 |
+
with gr.Row(elem_classes=["custom-btn-container"]): # 中央揃え用のクラス
|
| 581 |
+
user_btn = gr.Button("情報", elem_classes=["custom-btn"])
|
| 582 |
+
user_btn.click(fn=user_info, inputs=[state], outputs=user_btn)
|
| 583 |
+
|
| 584 |
+
#user_btn = gr.Button("情報", elem_classes=["custom-btn"])
|
| 585 |
+
|
| 586 |
+
#user_btn.click(fn=user_info, inputs=[state], outputs=None)
|
| 587 |
+
|
| 588 |
|
| 589 |
+
with gr.Tab("KU 検索") as tab_find:
|
| 590 |
+
with gr.Row():
|
| 591 |
+
query_input = gr.Textbox(
|
| 592 |
+
label="クエリ",
|
| 593 |
+
placeholder="例)物流・流通業界向けの提案書を内容を教えてください。",
|
| 594 |
+
info="例)物流・流通業界向けの提案書を内容を教えてください。AI市場の動向を調べています。参考できる事例を教えてください。",
|
| 595 |
+
value="経営デジタル・トランスフォーメーション関連のプロジェクトの提案書を書こうと思っています。参考できる事例を教えてください。",
|
| 596 |
+
lines=2,
|
| 597 |
+
)
|
| 598 |
+
with gr.Column():
|
| 599 |
+
search_button = gr.Button("実行", elem_classes=["custom-btn"])
|
| 600 |
+
clear_button = gr.Button("クリア", elem_classes=["custom-btn"])
|
| 601 |
+
|
| 602 |
+
result_output = [gr.Textbox(label="結果", show_copy_button=True),gr.Textbox(label="スコア")]
|
| 603 |
|
| 604 |
+
# Button click events
|
| 605 |
+
search_button.click(fn=search, inputs=[state,query_input], outputs=result_output)
|
| 606 |
+
clear_button.click(lambda: "", None, result_output)
|
| 607 |
|
| 608 |
+
with gr.Tab("KU インベントリ登録") as tab_reg:
|
| 609 |
+
with gr.Row():
|
| 610 |
+
input_text = gr.Textbox(label="KU JSON Payroll", lines=10, placeholder="Paste your JSON Payroll here...", info="""[{"kx_subject": "中古車販売における現状と問題点", "kx_creator": "username", "kx_content": "事前情報の収集: 顧客動向、問題・課題の想定、3C分析を通じて仮説を策定する。企業動向、顧客動向、競合動向を分析し、仮説を立案する。仮説提案営業の商談フロー: あいさつ、自社紹介、詳細ヒアリング、仮説検証、解決策の提案、ディスカッション、宿題の出し合い、あいさつのステップを踏む。効果的な商談の進め方: 訪問の趣旨を伝え、基本的な質問をし、相手に話させる。仮説をぶつけ、次回の日付と宿題を決める。ヒアリングの技術: 荷主担当者と営業担当者の知識の差を理解し、必要に応じて役割を分担する。ロジスティクスフローを描き、詳細な設問項目を作成する。", "kx_industry": "物流・流通", "kx_kind": "小売", "kx_category": "提案書", "kx_date": "2025/06/02"}]""")
|
| 611 |
+
output_text = gr.Textbox(label="Result")
|
| 612 |
+
with gr.Row():
|
| 613 |
+
submit_button = gr.Button("実行", elem_classes=["custom-btn"])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 614 |
|
| 615 |
+
submit_button.click(process_invitees, inputs=[state,input_text], outputs=output_text)
|
| 616 |
|
| 617 |
+
with gr.Tab("スライド作成"):
|
| 618 |
with gr.Row():
|
| 619 |
+
gr.Markdown("📧 ベクターDBに保存されている知識ベースのインベントリを使用してスライドを作成します。")
|
| 620 |
|
| 621 |
with gr.Row():
|
| 622 |
file_name_input = gr.Textbox(label="ファイル名を入力してください", value="test.pptx")
|
|
|
|
| 629 |
generate_button = gr.Button("生成")
|
| 630 |
generate_button.click(create_metapptx, inputs=[file_name_input,find_key], outputs=output)
|
| 631 |
|
| 632 |
+
# Launch the app
|
| 633 |
+
ku.load(list_private_models, inputs=None, outputs=[m2, tab_find, tab_reg])
|
| 634 |
+
ku.launch(favicon_path="favicon.ico",share=True)
|