Create app.py

app.py

@@ -0,0 +1,42 @@
+from flask import Flask, request, jsonify
+import cv2
+import numpy as np
+from sign_language_model import predict_sign_language
+
+app = Flask(__name__)
+
+@app.route('/')
+def home():
+    return "Welcome to the Learning App for Deaf and Mute"
+
+@app.route('/convert', methods=['POST'])
+def convert_sign_to_text():
+    """
+    Accepts an image of a sign language gesture and converts it to text.
+    """
+    try:
+        file = request.files['image']
+        image = cv2.imdecode(np.fromstring(file.read(), np.uint8), cv2.IMREAD_COLOR)
+        text = predict_sign_language(image)
+        return jsonify({"text": text, "status": "success"}), 200
+    except Exception as e:
+        return jsonify({"error": str(e), "status": "failure"}), 500
+
+@app.route('/learn', methods=['GET'])
+def learning_module():
+    """
+    Provides learning content for deaf and mute individuals.
+    """
+    # Example learning content (can be extended)
+    content = {
+        "title": "Learn Sign Language",
+        "lessons": [
+            {"id": 1, "title": "Alphabet A-Z"},
+            {"id": 2, "title": "Common Words and Phrases"},
+            {"id": 3, "title": "Numbers 1-10"}
+        ]
+    }
+    return jsonify(content), 200
+
+if __name__ == '__main__':
+    app.run(debug=True)