first commit

Author: Ataba29

.github/workflows/deploy.yml

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+name: Deploy to GitHub Pages
+on:
+  push:
+    branches: [ master ]  
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '18'
+          cache: 'npm'
+          cache-dependency-path: './frontend/package-lock.json'
+      
+      - name: Install dependencies
+        run: |
+          cd frontend
+          npm ci
+      
+      - name: Build
+        run: |
+          cd frontend
+          npm run build
+      
+      - name: Setup Pages
+        uses: actions/configure-pages@v4
+      
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          path: './frontend/dist'
+      
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

.gitignore

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+# Node modules
+frontend/node_modules/
+
+# Build outputs (uncomment based on your tool)
+frontend/dist/
+frontend/build/
+frontend/.next/
+frontend/out/
+
+# Logs
+backend/*.log
+*.log
+npm-debug.log*
+yarn-debug.log*
+pnpm-debug.log*
+
+# Environment variables
+backend/.env
+
+# System files
+.DS_Store
+Thumbs.db
+
+# IDE/editor folders
+.vscode/
+.idea/

README.md

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+import os
+import logging
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from openai import OpenAI
+from dotenv import load_dotenv
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(levelname)s - %(message)s",
+    handlers=[logging.StreamHandler()],
+)
+
+# Initialize Flask app
+app = Flask(__name__)
+CORS(app, resources={r"/*": {"origins": "*"}})
+
+# Load environment variables
+load_dotenv()
+
+# Initialize OpenAI client
+api_key = os.getenv("OPENAI_API_KEY")
+client = OpenAI(api_key=api_key)
+
+
+def text_to_isl_gloss(text):
+    """Convert English text to ISL gloss notation"""
+    if not text.strip():
+        return ""
+
+    try:
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {
+                    "role": "system",
+                    "content": """
+You are an expert ISL gloss translator. Follow these rules:
+1. Use UPPERCASE for signs
+2. Fingerspell names with hyphens (e.g., J-O-H-N)
+3. Omit English words like 'is', 'the', 'a'
+4. Use classifiers for spatial relationships
+5. Maintain ISL grammar structure (time-topic-comment)
+
+Example Translations:
+English: "Hello, my name is John."
+ISL Gloss: "HELLO, ME NAME J-O-H-N."
+
+English: "I have two cats at home."
+ISL Gloss: "HOME, TWO CAT HAVE-ME."
+
+English: "Where is the nearest restaurant?"
+ISL Gloss: "NEAREST RESTAURANT WHERE?"
+
+write only the translated ISL gloss without any additional words
+""",
+                },
+                {"role": "user", "content": f"Translate to ISL gloss: '{text}'"},
+            ],
+            temperature=0.2,
+            max_tokens=150,
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        logging.error(f"Translation error: {e}")
+        return "Translation error"
+
+
+@app.route("/translate", methods=["POST"])
+def translate():
+    data = request.get_json()
+    text = data.get("text", "")
+
+    if not text:
+        return jsonify({"error": "No text provided"}), 400
+
+    isl_gloss = text_to_isl_gloss(text)
+    return jsonify({"isl": isl_gloss})
+
+
+@app.route("/health", methods=["GET"])
+def health_check():
+    return jsonify({"status": "healthy", "service": "ISL Translator"})
+
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=5000, debug=True)