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TypeScript backend, HuggingFace models, JavaScript evaluators, Comment Nodes, and more (#81) * Beginning to convert Python backend to Typescript * Change all fetch() calls to fetch_from_backend switcher * wip converting query.py to query.ts * wip started utils.js conversion. Tested that OpenAI API call works * more progress on converting utils.py to Typescript * jest tests for query, utils, template.ts. Confirmed PromptPipeline works. * wip converting queryLLM in flask_app to TS * Tested queryLLM and StorageCache compressed saving/loading * wip execute() in backend.ts * Added execute() and tested w concrete func. Need to test eval() * Added craco for optional webpack config. Config'd for TypeScript with Node.js packages browserify'd * Execute JS code on iframe sandbox * Tested and working JS Evaluator execution. * wip swapping backends * Tested TypeScript backendgit status! :) woot * Added fetchEnvironAPIKeys to Flask server to fetch os.environ keys when running locally * Route Anthropic calls through Flask when running locally * Added info button to Eval nodes. Rebuilt react * Edits to info modal on Eval node * Remove/error out on Python eval nodes when not running locally. * Check browser compat and display error if not supported * Changed all example flows to use JS. Bug fix in query.ts * Refactored to LLMProvider to streamline model additions * Added HuggingFace models API * Added back Dalai call support, routing through Flask * Remove flask app calls and socketio server that are no longer used * Added Comment Nodes. Rebuilt react. * Fix PaLM temp=0 build, update package vers and rebuild react
2023-06-30 15:11:20 -04:00
{"flow": {"nodes": [{"width": 312, "height": 311, "id": "prompt-italian-rhyme", "type": "prompt", "data": {"prompt": "{prompt}", "n": 1, "llms": [{"key": "aa3c0f03-22bd-416e-af4d-4bf5c4278c99", "settings": {"system_msg": "For each pair of words, determine whether their Italian translations rhyme. If they do, output the pair of rhyming words in Italian. If they do not, output NONE.", "temperature": 1, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0}, "name": "GPT3.5", "emoji": "\ud83d\ude42", "model": "gpt-3.5-turbo", "base_model": "gpt-3.5-turbo", "temp": 1, "formData": {"shortname": "GPT3.5", "model": "gpt-3.5-turbo", "system_msg": "For each pair of words, determine whether their Italian translations rhyme. If they do, output the pair of rhyming words in Italian. If they do not, output NONE.", "temperature": 1, "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0}}]}, "position": {"x": 448, "y": 224}, "selected": false, "positionAbsolute": {"x": 448, "y": 224}, "dragging": false}, {"width": 333, "height": 182, "id": "eval-italian-rhyme", "type": "evaluator", "data": {"code": "function evaluate(response) {\n\tlet txt = response.text;\n\tlet ideals = JSON.parse(response.meta['Ideal']);\n\treturn ideals.some(i => (i.includes(txt) || txt.includes(i)));\n}", "language": "javascript"}, "position": {"x": 820, "y": 150}, "positionAbsolute": {"x": 820, "y": 150}}, {"width": 228, "height": 196, "id": "vis-italian-rhyme", "type": "vis", "data": {"input": "eval-italian-rhyme"}, "position": {"x": 1200, "y": 250}, "positionAbsolute": {"x": 1200, "y": 250}}, {"width": 302, "height": 260, "id": "inspect-italian-rhyme", "type": "inspect", "data": {"input": "prompt-italian-rhyme"}, "position": {"x": 820, "y": 400}, "positionAbsolute": {"x": 820, "y": 400}}, {"width": 423, "height": 417, "id": "table-italian-rhyme", "type": "table", "data": {"rows": [{"prompt": "orange, car", "ideal": "[\"NONE\"]"}, {"prompt": "car, afterlife", "ideal": "[\"NONE\"]"}, {"prompt": "mechanic, puzzle", "ideal": "[\"NONE\"]"}, {"prompt": "scream, joke", "ideal": "[\"NONE\"]"}, {"prompt": "tree, jug", "ideal": "[\"NONE\"]"}, {"prompt": "opened, laughter", "ideal": "[\"NONE\"]"}, {"prompt": "sees, brain", "ideal": "[\"NONE\"]"}, {"prompt": "ice cream, thank you", "ideal": "[\"NONE\"]"}, {"prompt": "child, skeleton", "ideal": "[\"NONE\"]"}, {"prompt": "gift, blessing", "ideal": "[\"NONE\"]"}, {"prompt": "model, reward", "ideal": "[\"NONE\"]"}, {"prompt": "window, balloon", "ideal": "[\"NONE\"]"}, {"prompt": "chest of drawers, thank you", "ideal": "[\"NONE\"]"}, {"prompt": "service, painting", "ideal": "[\"NONE\"]"}, {"prompt": "beach, angel", "ideal": "[\"NONE\"]"}, {"prompt": "tool, lighter", "ideal": "[\"NONE\"]"}, {"prompt": "treasure, window", "ideal": "[\"NONE\"]"}, {"prompt": "juicy, cheese", "ideal": "[\"NONE\"]"}, {"prompt": "space, crawling", "ideal": "[\"NONE\"]"}, {"prompt": "lesson, light", "ideal": "[\"NONE\"]"}, {"prompt": "light, generation", "ideal": "[\"NONE\"]"}, {"prompt": "mud, to jump", "ideal": "[\"NONE\"]"}, {"prompt": "earth, punishment", "ideal": "[\"NONE\"]"}, {"prompt": "once, scream", "ideal": "[\"NONE\"]"}, {"prompt": "peace, dream", "ideal": "[\"NONE\"]"}, {"prompt": "day, dream", "ideal": "[\"NONE\"]"}, {"prompt": "color, finger", "ideal": "[\"NONE\"]"}, {"prompt": "moon, fled", "ideal": "[\"NONE\"]"}, {"prompt": "butterfly, tomorrow", "ideal": "[\"NONE\"]"}, {"prompt": "laughed, played", "ideal": "[\"NONE\"]"}, {"prompt": "spotlight, drunk", "ideal": "[\"NONE\"]"}, {"prompt": "time, sneeze", "ideal": "[\"NONE\"]"}, {"prompt": "work, donut", "ideal": "[\"NONE\"]"}, {"prompt": "dream, nothing", "ideal": "[\"NONE\"]"}, {"prompt": "crumb, entertainment", "ideal": "[\"NONE\"]"}, {"prompt": "work, girl", "ideal": "[\"NONE\"]"}, {"prompt": "light, sky", "ideal": "[\"NONE\"]"}, {"prompt": "blanket, pinch", "ideal": "[\"NONE\"]"}, {"prompt": "reason, jam", "ideal": "[\"NONE\"]"}, {"prompt": "brigade, love", "ideal": "[\"NONE\"
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