From 71a5c4dca58a16ef121300e6447253b5c70d2cd1 Mon Sep 17 00:00:00 2001 From: Joise S Arakkal <110761281+joise-s-arakkal@users.noreply.github.com> Date: Tue, 16 Dec 2025 23:21:48 +0530 Subject: [PATCH 1/2] Add files via upload --- youtube-zero-shot-classifier/LICENSE | 21 + youtube-zero-shot-classifier/README.md | 40 + ...t_Classifier_with_Zero_Shot_Learning.ipynb | 2384 +++++++++++++++++ youtube-zero-shot-classifier/requirements.txt | 4 + 4 files changed, 2449 insertions(+) create mode 100644 youtube-zero-shot-classifier/LICENSE create mode 100644 youtube-zero-shot-classifier/README.md create mode 100644 youtube-zero-shot-classifier/YouTube_Comment_Classifier_with_Zero_Shot_Learning.ipynb create mode 100644 youtube-zero-shot-classifier/requirements.txt diff --git a/youtube-zero-shot-classifier/LICENSE b/youtube-zero-shot-classifier/LICENSE new file mode 100644 index 000000000..8a80ff1d1 --- /dev/null +++ b/youtube-zero-shot-classifier/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 Joise S Arakkal + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/youtube-zero-shot-classifier/README.md b/youtube-zero-shot-classifier/README.md new file mode 100644 index 000000000..5e1a53a91 --- /dev/null +++ b/youtube-zero-shot-classifier/README.md @@ -0,0 +1,40 @@ +# šŸŽÆ YouTube Comment Classifier using Zero-Shot Learning + +Analyze and classify top comments from any YouTube video into custom intent-style labels using šŸ¤— Hugging Face's `facebook/bart-large-mnli`. Built with a clean Gradio UI, and deployed on both **Google Colab** and **Hugging Face Spaces**. + +--- + +## šŸ” Features + +- šŸŽ„ Accepts any YouTube video URL +- šŸ§  Uses Zero-Shot Learning to classify comments into: + - `Question`, `Appreciation`, `Complaint`, `Suggestion`, `Joke`, `Spam`, `Toxic`, `Story` +- šŸ“ˆ Displays results dynamically as comments are processed +- šŸ›”ļø API Key is securely handled (in Colab) or via Hugging Face secrets +- šŸŒ Accessible via Colab + Hugging Face Spaces + +--- + +## šŸš€ Try It Now + +[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1LY-mCCn-w1g25gTGH2tQyBGqAz_npZ9C?usp=sharing) +  +[![Hugging Face Spaces](https://img.shields.io/badge/Hugging%20Face-Space-blue?logo=huggingface&style=flat-square)](https://huggingface.co/spaces/joise-s-arakkal/ZeroShotTube) + +--- + +## šŸ§± Tech Stack + +[![Transformers](https://img.shields.io/badge/HuggingFace-Transformers-orange?logo=huggingface)](https://huggingface.co/transformers) +  +[![Gradio](https://img.shields.io/badge/Gradio-UI-blue?logo=Gradio&logoColor=white&style=flat-square)](https://gradio.app/) +  +[![Google Colab](https://img.shields.io/badge/Google%20Colab-Notebook-F9AB00?logo=Google%20Colab&logoColor=white&style=flat-square)](https://colab.research.google.com/) +  +[![YouTube API](https://img.shields.io/badge/YouTube%20Data%20API-v3-red?logo=YouTube&logoColor=white&style=flat-square)](https://developers.google.com/youtube/v3) +  +[![Hugging Face Spaces](https://img.shields.io/badge/Spaces-HuggingFace-blue?logo=huggingface&style=flat-square)](https://huggingface.co/spaces) + +--- + +Made with ā¤ļø using Hugging Face, Transformers, and Gradio diff --git a/youtube-zero-shot-classifier/YouTube_Comment_Classifier_with_Zero_Shot_Learning.ipynb 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+ ], + "metadata": { + "id": "Hgf7vzmklcFa" + }, + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import gradio as gr\n", + "from transformers import pipeline\n", + "from googleapiclient.discovery import build\n", + "from google.colab import userdata\n", + "import re\n", + "import time\n", + "\n", + "# Load API key securely from Colab\n", + "API_KEY = userdata.get('YOUTUBE_API_KEY')\n", + "\n", + "# Load zero-shot classifier\n", + "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-large-mnli\")\n", + "\n", + "# Labels to classify comments into\n", + "LABELS = [\n", + " \"Question\", \"Appreciation\", \"Complaint\",\n", + " \"Suggestion\", \"Joke\", \"Spam\", \"Toxic\", \"Story\"\n", + "]\n", + "\n", + "# Extract YouTube video ID from URL\n", + "def get_video_id(url):\n", + " pattern = r\"(?:v=|\\/)([0-9A-Za-z_-]{11}).*\"\n", + " match = re.search(pattern, url)\n", + " return match.group(1) if match else None\n", + "\n", + "# Fetch top-level YouTube comments\n", + "def get_comments(video_id, max_results=20):\n", + " youtube = build(\"youtube\", \"v3\", developerKey=API_KEY)\n", + " comments = []\n", + "\n", + " request = youtube.commentThreads().list(\n", + " part=\"snippet\",\n", + " videoId=video_id,\n", + " maxResults=min(max_results, 100),\n", + " textFormat=\"plainText\"\n", + " )\n", + "\n", + " while request and len(comments) < max_results:\n", + " response = request.execute()\n", + " for item in response[\"items\"]:\n", + " comment = item[\"snippet\"][\"topLevelComment\"][\"snippet\"][\"textDisplay\"]\n", + " comments.append(comment)\n", + " if len(comments) >= max_results:\n", + " break\n", + " request = youtube.commentThreads().list_next(request, response)\n", + "\n", + " return comments\n", + "\n", + "# Generator function to yield results dynamically\n", + "def classify_comments_live(youtube_url):\n", + " video_id = get_video_id(youtube_url)\n", + " if not video_id:\n", + " yield \"āŒ Invalid YouTube URL\", []\n", + " return\n", + "\n", + " try:\n", + " comments = get_comments(video_id)\n", + " table = [] # āœ… No header row in data\n", + " yield f\"šŸ“„ Fetched {len(comments)} comments. Starting classification...\", table\n", + "\n", + " for i, comment in enumerate(comments):\n", + " result = classifier(comment, candidate_labels=LABELS, multi_label=True)\n", + " top_label = result[\"labels\"][0]\n", + " confidence = round(result[\"scores\"][0], 2)\n", + " table.append([comment, top_label, confidence])\n", + " yield f\"āœ… Classified comment {i+1} / {len(comments)}\", table\n", + " time.sleep(0.1)\n", + "\n", + " yield \"šŸŽ‰ All comments classified!\", table\n", + "\n", + " except Exception as e:\n", + " yield f\"āŒ Error: {str(e)}\", []\n", + "\n", + "# Gradio App\n", + "with gr.Blocks(theme=gr.themes.Soft()) as app:\n", + " gr.Markdown(\"# šŸ§  YouTube Comment Classifier with Zero-Shot Learning (Live)\")\n", + " gr.Markdown(\"Paste a YouTube video URL. We'll classify the top 20 comments dynamically into intent-style labels.\")\n", + "\n", + " youtube_url = gr.Textbox(label=\"šŸ”— YouTube Video URL\")\n", + " classify_btn = gr.Button(\"šŸš€ Classify Comments\")\n", + "\n", + " status = gr.Textbox(label=\"Status\", interactive=False)\n", + " result_table = gr.Dataframe(\n", + " headers=[\"Comment\", \"Top Label\", \"Confidence\"],\n", + " row_count=(1, \"dynamic\"),\n", + " col_count=(3, \"fixed\"),\n", + " wrap=True\n", + " )\n", + "\n", + " classify_btn.click(fn=classify_comments_live, inputs=[youtube_url], outputs=[status, result_table])\n", + "\n", + "app.launch()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 861, + "referenced_widgets": [ + "f4e10590b1d2451e80b6b23982a6de33", + "58a0c9c8da5141738d135f71032961cf", + "9c556fd86e2e443f8e27bcb186cd4af0", + "7ecfdb627ec7431e9d133071423c9b95", + "580b88d008fd46a199b14bcf71aa11ee", + "e2a2eb853fb142ec9c716d9ad7942dec", + "203a5c36c7ef429c85b58c2183da2c72", + "fd29aa1bd7c94f1fa197980f47ae6138", + "712e51dfd4274c33be14c69dec885a89", + "31ee358a48b94d409da42dd0ad5c86d1", + "eae066bfaf7a4b6ba94df33f2e26cc51", + "ad865a44bb064990917170cc13aeedba", + "33169e44ae6c4421b3322f643c59eaf4", + "5191fab41a0444bab7ccfa5336f27f19", + "e6a41a78c7364961b0fa1d637afe7a4d", + "998d49214b2e44ee8b9e3d0f70c51186", + "d5ef304176f440ebb8198c805ece13a0", + "92ed9b0dabd74e2c896eb3e454da3d74", + "74ef5235a79349fbbe6d8d31f2dd999b", + "b40a89b9d6324b369df76ec6a5632203", + "13406fa879ae452488e5ac9338cc7e75", + "6284b42179454df4b31170e65dbb9ceb", + "80398d82671244d3825e18bb79c2e01e", + "eb68febbdefb4b24af4dacdd3aebf15e", + "283220a054594573a4db724b9ae1178f", + "428946863cf24db59012a1e086aec09d", + "b597046b4f5a4aa89645061e207bfb47", + "6ae85ae16075417a92d0cd240d37af93", + "ac4e950ff86e4a918c01e86ec7b1327b", + "3c7fa56c4ca44969936b061e6ba4be58", + "b62f0436f1ca44f1913e4e95c5b7607b", + "d69962eba0aa4772959ea297b646e60b", + "b33cce1aac404e10b5ac2a33cb3fa507", + "f9220e0dc8b446159328f67276696812", + "96b7db14600949d8a0e6c4d5605a4394", + "6b98378d9ccf41c9a9bd51624fcd1042", + "e011dd41d0ca460db7387ddcefa3ed7e", + "350f3fc1a67d41f6b59f73531190a320", + "9e6ef22bdb75432bb6a1cd33e95e5c45", + "aa28306e598c4dfcad3e1779c42b8aba", + "1299a7e89da5448f8d700cd15148ded2", + "d31b65e54e544cfcb6fdb13f9d0242ae", + "33e4c16d569b40438b10b6b1ac57a962", + "f61220efd2b845fd8a988ceabe7f361e", + "4554ce0bf4464c06aafd900975d1ace1", + "d65872307879423fbd538e869f69f095", + "6c65da4722834b598aca937e912cc274", + "49b2311b3d8548f7a2ac5a3e54d7e423", + "9261b5c238a5481fbf60bd54b9de75e1", + "8026231626c5451282ef211efb8bb187", + "e9637027ac6a44c08b1834001e2238b1", + "6c1d0e21a8664285a286bd16ffc22438", + "9d8ec65c3e584499b39474a53b8ce35b", + "e096128fa9e74eae91f749e541c6f1fd", + "67273eb6eaf94791b87f0dff01348d74", + "ee3456f8585a4f1385ab99883d40bb53", + "5f5ecc1bb410475b862a41660e4ad538", + "785134d578f34732aad9d908e9cc5cd1", + "aa6a0501876a4d50bb300bf9b411eada", + "92d4d52d8f0148a8b3e69e96f4121aad", + "b12075cc7b6d4676bcb1170066231a1e", + "f5a11e58f0be4ce9a574e558c80f9a91", + "c1018e95fb504e2c9f1721f054042e09", + "ea72e7396f1a41c3a37653b624ba66c4", + "1fe8cf3a69914610b030108a64bf8c84", + "da2e88d987bc4228925a11856ac78133" + ] + }, + "id": "C4YpouPOrZRY", + "outputId": "fab67a63-0010-4e51-9249-f400d89a821e" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "config.json: 0.00B [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "f4e10590b1d2451e80b6b23982a6de33" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "model.safetensors: 0%| | 0.00/1.63G [00:00" + ], + "text/html": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [] + }, + "metadata": {}, + "execution_count": 2 + } + ] + } + ] +} \ No newline at end of file diff --git a/youtube-zero-shot-classifier/requirements.txt b/youtube-zero-shot-classifier/requirements.txt new file mode 100644 index 000000000..81ba8b12f --- /dev/null +++ b/youtube-zero-shot-classifier/requirements.txt @@ -0,0 +1,4 @@ +transformers +gradio +google-api-python-client +torch From b6aeb6704436507dcde712dd1186cd00b78ca4e4 Mon Sep 17 00:00:00 2001 From: Joise S Arakkal <110761281+joise-s-arakkal@users.noreply.github.com> Date: Tue, 16 Dec 2025 23:27:39 +0530 Subject: [PATCH 2/2] Add YouTube Comment Classifier to project list Added YouTube Comment Classifier project to the README. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 6c65ab121..15c3a260e 100644 --- a/README.md +++ b/README.md @@ -78,6 +78,7 @@ Perfect for getting started with AI engineering. These projects focus on single - [**Qwen3 Thinking UI**](./qwen3-thinking-ui) - Thinking UI with Qwen3:4B and Streamlit - [**GPT-OSS Thinking UI**](./gpt-oss-thinking-ui) - GPT-OSS with reasoning visualization - [**Streaming AI Chatbot**](./streaming-ai-chatbot) - Real-time AI streaming with Motia framework +- [**YouTube Comment Classifier**](./youtube-zero-shot-classifier) - classify comments from YouTube video into custom labels using facebook/bart-large-mnli #### Basic RAG - [**Simple RAG Workflow**](./simple-rag-workflow) - Basic RAG with LlamaIndex and Ollama