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pdf_2_dify_workflow.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "2RCxpRzpqPrB"
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},
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"outputs": [],
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"source": [
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"!pip install gradio unstructured[pdf] langchain-community"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"import getpass\n",
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"\n",
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"DIFY_BASE_URL = getpass.getpass(\"DIFY_BASE_URL:\")\n",
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"DIFY_API_KEY_MYWORKFLOW = getpass.getpass(\"DIFY_API_KEY_MYWORKFLOW: \")\n",
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"\n"
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],
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"metadata": {
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"id": "iDbRDVzHqZh8"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"import requests\n",
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"import json\n",
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"url = DIFY_BASE_URL + \"/workflows/run\"\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json\",\n",
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" \"Authorization\": f\"Bearer {DIFY_API_KEY_MYWORKFLOW}\"\n",
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"}\n",
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"\n",
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"data = {\n",
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" \"inputs\": {\n",
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" \"url\":\"\",\n",
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" \"knowledge\":\"\"\"\n",
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" 本作の悪役。千年以上前に生まれた最初の鬼。鬼達の絶対的支配者で、自身の血を人間に与え大量の鬼を作り出した。炭治郎の家族を殺し、禰󠄀豆子を鬼に変えた仇である。\n",
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"鬼達を血に仕込んだ呪いで支配し、「あの方」と呼ばれ恐れられている。外見や攻撃は自由自在で、不死身の鬼を殺すことができる。性格は冷酷非情かつ支配的で、自らの意志に沿わない者は決して許さず、忠実に従っていた下弦の鬼達を些細なことで何ら躊躇なく惨殺したり、報告に来た猗窩座に理不尽な叱責を与えるなどしている。珠世からはその人物像を「いつも何かに怯えている臆病者」と皮肉られている。癇癪で暴力を振るったり、自分を棚に上げた言動をすることも多い。\n",
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"\n",
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" \"\"\",\n",
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" },\n",
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" \"query\": \"\", # クエリ(オプション)\n",
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" \"response_mode\": \"streaming\", # ストリーミング応答\n",
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" \"user\": \"abc_123\", # ユーザーID\n",
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"}\n",
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"\n",
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"response = requests.post(url, headers=headers, json=data, stream=True)\n",
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"\n",
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"response.raise_for_status() # エラーチェック\n",
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"\n",
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"response = requests.post(url, headers=headers, json=data, stream=True)\n",
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"response.raise_for_status()\n",
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"\n",
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"assistant_message = \"\"\n",
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"outputs = {}\n",
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"\n",
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"# APIレスポンスのチャンク処理\n",
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"for chunk in response.iter_lines(delimiter=b\"\\n\\n\"):\n",
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" if chunk:\n",
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" chunk_data = chunk.decode(\"utf-8\").strip()\n",
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" if chunk_data.startswith(\"data:\"):\n",
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" json_data = chunk_data[6:] # \"data: \"を取り除く\n",
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" if json_data:\n",
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" result = json.loads(json_data)\n",
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" if result.get(\"event\") == \"text_chunk\":\n",
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" answer = result.get(\"data\", \"\").get(\"text\", \"\")\n",
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" assistant_message += str(answer)\n",
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" print(str(answer), end=\"\", flush=True)\n",
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" elif result.get(\"event\") == \"workflow_finished\":\n",
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" outputs = result.get('data', \"\")\n",
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" print(assistant_message, outputs)"
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],
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"metadata": {
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"id": "_1LzsFX7rve1"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"import gradio as gr\n",
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"import requests\n",
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"from langchain_community.document_loaders import UnstructuredPDFLoader\n",
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"import json\n",
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"\n",
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"def run_workflow(message):\n",
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" try:\n",
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" file = message['files'][0]\n",
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" text_message = message['text']\n",
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"\n",
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" # PDFファイルが選択されているかチェック\n",
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" if not file:\n",
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" return \"PDFファイルを選択してください。\", \"\"\n",
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"\n",
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" # PDFファイルをロードしてテキストを抽出\n",
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" loader = UnstructuredPDFLoader(file)\n",
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" data = loader.load()\n",
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" raw_text = data[0].page_content\n",
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"\n",
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" # APIリクエストのための入力データを準備\n",
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" inputs = {\n",
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" \"url\": \"\",\n",
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" \"knowledge\": raw_text\n",
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" }\n",
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"\n",
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" yield raw_text, \"loading...\", {}\n",
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"\n",
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" # APIエンドポイントURL\n",
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" url = DIFY_BASE_URL + \"/workflows/run\"\n",
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"\n",
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" # APIリクエストのヘッダー\n",
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" headers = {\n",
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" \"Content-Type\": \"application/json\",\n",
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" \"Authorization\": f\"Bearer {DIFY_API_KEY_MYWORKFLOW}\"\n",
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" }\n",
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"\n",
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" # APIリクエストのデータ\n",
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" data = {\n",
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" \"inputs\": inputs,\n",
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" \"query\": \"\",\n",
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" \"response_mode\": \"streaming\",\n",
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" \"user\": \"abc_123\",\n",
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" }\n",
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"\n",
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" # APIにリクエストを送信\n",
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" response = requests.post(url, headers=headers, json=data, stream=True)\n",
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" response.raise_for_status()\n",
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"\n",
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" assistant_message = \"\"\n",
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" outputs = {}\n",
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"\n",
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" # APIレスポンスのチャンク処理\n",
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" for chunk in response.iter_lines(delimiter=b\"\\n\\n\"):\n",
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+
" if chunk:\n",
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" chunk_data = chunk.decode(\"utf-8\").strip()\n",
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159 |
+
" if chunk_data.startswith(\"data:\"):\n",
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" json_data = chunk_data[6:] # \"data: \"を取り除く\n",
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" if json_data:\n",
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" result = json.loads(json_data)\n",
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" if result.get(\"event\") == \"text_chunk\":\n",
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" answer = result.get(\"data\", \"\").get(\"text\", \"\")\n",
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" assistant_message += str(answer)\n",
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" yield raw_text, assistant_message, result.get(\"data\", \"\")\n",
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" elif result.get(\"event\") == \"workflow_finished\":\n",
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" outputs = result.get('data', \"\")\n",
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" yield raw_text, assistant_message, outputs\n",
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"\n",
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" except Exception as e:\n",
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" error_message = str(e)\n",
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" print(f\"Error: {error_message}\")\n",
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" return \"error\", error_message, {}\n",
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"\n",
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"# Gradioインターフェイスの設定\n",
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"iface = gr.Interface(\n",
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" fn=run_workflow,\n",
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" inputs=[gr.MultimodalTextbox(label=\"PDFファイルをアップロード\", file_types=[\".pdf\"], interactive=True)],\n",
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" outputs=[\n",
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" gr.Textbox(label=\"生テキスト\", show_copy_button=True, max_lines=5),\n",
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" gr.Markdown(),\n",
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" gr.JSON()\n",
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" ],\n",
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" title=\"PDF to Dify Workflow\",\n",
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" description=\"PDFファイルを入力すると、Dify APIのワークフローによって処理された結果が表示されます。\",\n",
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" article=\"\"\"\n",
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"\n",
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" © 2024 @tregu0458. All rights reserved.\n",
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"\n",
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" ## 使用コンポーネント\n",
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" - dify\n",
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" - gradio\n",
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" - langchain_community.document_loaders\n",
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"\n",
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" ## 今回のworkflowの仕様\n",
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" ### 入力\n",
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" - url\n",
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" - knowledge\n",
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" ### 出力\n",
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" - result\n",
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" - row_content\n",
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" - url\n",
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" ### LLM\n",
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" - gemini-1.5-flash\n",
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" ```\n",
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" PDFファイルを入力として受け取り、Dify APIのワークフローを使用してファイルを処理し、結果を返す関数。\n",
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" Args:\n",
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" message (dict): 入力メッセージ。以下のキーを含む辞書。\n",
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" - 'files' (list): アップロードされたPDFファイルのリスト。\n",
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" - 'text' (str): テキストメッセージ。\n",
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" Yields:\n",
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" tuple: 以下の要素を含むタプル。\n",
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" - raw_text (str): PDFファイルから抽出された生テキスト。\n",
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" - assistant_message (str): アシスタントからのメッセージ。\n",
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" - outputs (dict): APIレスポンスのデータ。\n",
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" Returns:\n",
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" tuple: 以下の要素を含むタプル。\n",
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" - status (str): 処理の状態。\"error\" または \"\" (空文字列)。\n",
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" - error_message (str): エラーメッセージ (エラーが発生した場合)。\n",
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" - data (dict): APIレスポンスのデータ。\n",
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" Raises:\n",
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" Exception: 処理中にエラーが発生した場合。\n",
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" Notes:\n",
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" - 関数は非同期的に実行され、処理の進行状況に応じて段階的に結果を返す。\n",
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" - `yield` を使用して、処理の途中経過を表示しながら、最終的な結果を返す。\n",
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" ```\n",
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" \"\"\"\n",
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")\n",
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"\n",
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"if __name__ == \"__main__\":\n",
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" iface.queue().launch()"
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],
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"metadata": {
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"id": "yx9f1RwJtFi9"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}
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