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precis

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compendious commited on Feb 28

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d0f2341

1 Parent(s): 3f3db0b

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README.md CHANGED Viewed

@@ -21,13 +21,13 @@ A system for compressing long-form content into clear, structured summaries. Pr
 ### Run the Fine-Tuning
-Follow the scripts in `scripts/`, using any model you prefer. This project has been primarily tested phi4-mini (from Microsot) and Qwen 3-3b (from Alibaba).
 ### Backend
 ```bash
 cd backend
-pip install fastapi uvicorn httpx python-multipart youtube-transcript-api
 uvicorn app:app --reload
 ```

 ### Run the Fine-Tuning
+Follow the scripts in `scripts/`, using any model you prefer. This project has been primarily tested with phi4-mini (from Microsoft) and Qwen 3-3b (from Alibaba).
 ### Backend
 ```bash
 cd backend
+pip install -r ../requirements.txt
 uvicorn app:app --reload
 ```

frontend/index.html CHANGED Viewed

+<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/src/assets/logo.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <meta name="description"
+        content="Précis — Summarize YouTube videos, articles, and text files with local AI models." />
+    <title>Précis</title>
+</head>
+<body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.jsx"></script>
+</body>
+</html>

requirements.txt CHANGED Viewed

@@ -1,4 +1,4 @@
-# Core ML (training pipeline — not needed to run the API)
 torch
 transformers
 accelerate
@@ -10,5 +10,6 @@ sentencepiece
 # API
 fastapi
 uvicorn
-httpx          # async HTTP client for Ollama calls
-python-multipart  # required by FastAPI for file uploads

+# ML Training vibes
 torch
 transformers
 accelerate
 # API
 fastapi
 uvicorn
+httpx                   # async HTTP client for Ollama calls
+python-multipart        # required by FastAPI for file uploads
+youtube-transcript-api  # YouTube transcript fetching