{"id":16206,"date":"2025-07-30T18:56:38","date_gmt":"2025-07-30T13:26:38","guid":{"rendered":"https:\/\/projectworlds.com\/?p=16206"},"modified":"2025-09-02T01:42:39","modified_gmt":"2025-09-01T20:12:39","slug":"chat-with-pdf-notes-system-using-python-flask-with-source-code","status":"publish","type":"post","link":"https:\/\/projectworlds.com\/chat-with-pdf-notes-system-using-python-flask-with-source-code\/","title":{"rendered":"Chat with PDF Notes system using Python Flask with Source Code"},"content":{"rendered":"<div id=\"pl-16206\"  class=\"panel-layout\" ><div id=\"pg-16206-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-16206-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-16206-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<p>This project demonstrates how to create a local AI chatbot that can read and answer questions from PDF files. Using Python, LangChain, a local LLM (GPT4All), and Flask for the web interface, you can upload any PDF and start chatting with it \u2013 all offline, without using any third-party APIs.<\/p>\n<h2>Features<\/h2>\n<ul>\n<li>Upload and preview PDF files.<\/li>\n<li>Ask questions about the PDF and get contextual answers.<\/li>\n<li>All processing is done locally with no internet or API required.<\/li>\n<li>Real-time typing effect for responses.<\/li>\n<li>Clear chat functionality.<\/li>\n<\/ul>\n<h2>Tech Stack<\/h2>\n<ul>\n<li>Python 3.10+<\/li>\n<li>Flask<\/li>\n<li>LangChain<\/li>\n<li>GPT4All (local model)<\/li>\n<li>FAISS (for vector similarity search)<\/li>\n<li>HuggingFace Sentence Transformers<\/li>\n<li>HTML + CSS + JavaScript<\/li>\n<\/ul>\n<h2>Installation Steps<\/h2>\n<ol>\n<li>Clone or download the project folder.<\/li>\n<li>Install dependencies:<br \/>\npip install -r requirements.txt<\/li>\n<li>Download the local LLM model (e.g., <a href=\"https:\/\/huggingface.co\/orel12\/ggml-gpt4all-j-v1.3-groovy\/resolve\/main\/ggml-gpt4all-j-v1.3-groovy.bin?download=true\">ggml-gpt4all-j-v1.3-groovy.bin<\/a>) and place it in the models folder.<\/li>\n<li>Run the Flask app:<br \/>\npython app.py<\/li>\n<li>Open your browser and visit http:\/\/127.0.0.1:5000<\/li>\n<\/ol>\n<h2>\u00a0Folder Structure<\/h2>\n<p>project\/<br \/>\n\u251c\u2500\u2500 app.py<br \/>\n\u251c\u2500\u2500 uploads\/<br \/>\n\u251c\u2500\u2500 models\/<br \/>\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 ggml-gpt4all-j-v1.3-groovy.bin<br \/>\n\u251c\u2500\u2500 static\/<br \/>\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 styles.css<br \/>\n\u251c\u2500\u2500 templates\/<br \/>\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 index.html<br \/>\n\u2514\u2500\u2500 requirements.txt<\/p>\n<h2>\u00a0Note<\/h2>\n<p>This system works completely offline. However, initial model download (GPT4All) and dependencies like HuggingFace models may require one-time internet access.<\/p>\n<h2>Credit<\/h2>\n<p>Made with \u2764\ufe0f by ProjectWorlds.in \u2013 AI Projects, Source Code, and Video Tutorials.<\/p>\n<h2><a href=\"https:\/\/projectworlds.com\/wp-content\/uploads\/2025\/07\/Chat-with-PDF-Notes-system-using-Python-Flask.zip\">Download Link<\/a><\/h2>\n<\/div>\n<\/div><\/div>        <div id=\"panel-16206-0-0-1\" class=\"so-panel widget widget_wylwidget panel-last-child\" data-index=\"1\" >        <h3 class=\"widget-title\">Demo Video<\/h3>        <div class=\"lyte-wrapper lidget\" style=\"width:711px; height:400px; min-width:200px; max-width:100%;\"><div class=\"lyMe\" id=\"YLW_f2XRlZe3Sc4\"><div id=\"lyte_f2XRlZe3Sc4\" data-src=\"https:\/\/img.youtube.com\/vi\/f2XRlZe3Sc4\/hqdefault.jpg\" class=\"pL\"><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/f2XRlZe3Sc4\"><img decoding=\"async\" src=\"https:\/\/img.youtube.com\/vi\/f2XRlZe3Sc4\/hqdefault.jpg\" alt=\"\" \/><\/a><\/noscript><\/div>\n        <div><\/div>\n        <\/div>        <\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>This project demonstrates how to create a local AI chatbot that can read and answer [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":17217,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45760,1597],"tags":[48106,48110,48112,3578,48111,48105,48108,48109,48107,49,11286],"class_list":{"0":"post-16206","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-ai-ml","8":"category-machine-learning-projects-with-source-code","9":"tag-ai-chatbot","10":"tag-chat-with-pdf","11":"tag-faiss","12":"tag-flask","13":"tag-gpt4all","14":"tag-langchain","15":"tag-local-llm","16":"tag-machine-learning-project","17":"tag-pdf-processing","18":"tag-python","19":"tag-source-code","21":"post-with-thumbnail","22":"post-with-thumbnail-large"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/posts\/16206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/comments?post=16206"}],"version-history":[{"count":0,"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/posts\/16206\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/media\/17217"}],"wp:attachment":[{"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/media?parent=16206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/categories?post=16206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/projectworlds.com\/wp-json\/wp\/v2\/tags?post=16206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}