Akshitha mamidala

scripts/Model training and testing.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "3c55ee87-71d5-43f3-8bc4-46fb8d67f884",
    "metadata": {},
    "outputs": [
@@ -33,7 +33,7 @@
     "import pandas as pd\n",
     "\n",
     "# Load the saved model\n",
-    "model = joblib.load(\"C:/Users/Akshi/FoodAllergyDetection/models/best_decision_tree_model.pkl\")\n",
+    "model = joblib.load(\"C:/Users/Akshi/SafeBite_Infosys_Internship_Oct2024/models/best_decision_tree_model.pkl\")\n",
     "\n",
     "# Load the unseen data\n",
     "unseen_data = pd.read_csv(\"sample.csv\")\n",
@@ -43,15 +43,15 @@
     "\n",
     "# Save predictions to CSV\n",
     "unseen_data['Predictions'] = predictions\n",
-    "unseen_data.to_csv(\"C:/Users/Akshi/FoodAllergyDetection/Predictions12.csv\", index=False)\n",
+    "unseen_data.to_csv(\"C:/Users/Akshi/SafeBite_Infosys_Internship_Oct2024/scripts/Predictions12.csv\", index=False)\n",
     "\n",
     "\n",
     "print(\"Predictions have been saved to Predictions12.csv\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "cd7011ba-e6ac-4d76-8f38-73f164ac6606",
    "metadata": {},
    "outputs": [

scripts/Predictions12.csv

@@ -1,11 +1,25 @@
-Food Product,Main Ingredient,Sweetener,Fat/Oil,Seasoning,Allergens,Price ($),Customer rating (Out of 5),Predictions
-Blueberry Protein Bar,Blueberries,Honey,Almond oil,Vanilla extract,Tree nuts,2.99,4.2,1
-Mango Chia Pudding,Mango,Coconut sugar,Coconut milk,Cardamom,Coconut,4.49,4.5,1
-Beetroot Chips,Beetroot,,Olive oil,Sea salt,,3.25,3.8,0
-Pumpkin Spice Muffin,Pumpkin,Maple syrup,Butter,"Cinnamon, Nutmeg","Wheat, Dairy",5.75,4.7,1
-Lentil Soup,Lentils,,Olive oil,Herbs de Provence,,4.0,4.0,0
-Quinoa Sushi Roll,Quinoa,,Avocado oil,Soy sauce,Soy,6.5,4.6,1
-Turmeric Latte,Turmeric,Date syrup,Coconut oil,"Ginger, Black pepper",,3.75,4.3,0
-Seaweed Snack,Seaweed,,Sesame oil,Nori seasoning,,2.5,3.9,0
-Hazelnut Milkshake,Hazelnuts,Agave syrup,Hazelnut oil,Cocoa powder,Tree nuts,5.25,4.8,1
-Spicy Black Bean Wrap,Black Beans,,,"Hot sauce, Lime",,6.0,4.1,0
+<<<<<<< HEAD
+Food Product,Main Ingredient,Sweetener,Fat/Oil,Seasoning,Allergens,Price ($),Customer rating (Out of 5),Predictions
+Blueberry Protein Bar,Blueberries,Honey,Almond oil,Vanilla extract,Tree nuts,2.99,4.2,1
+Mango Chia Pudding,Mango,Coconut sugar,Coconut milk,Cardamom,Coconut,4.49,4.5,1
+Beetroot Chips,Beetroot,,Olive oil,Sea salt,,3.25,3.8,0
+Pumpkin Spice Muffin,Pumpkin,Maple syrup,Butter,"Cinnamon, Nutmeg","Wheat, Dairy",5.75,4.7,1
+Lentil Soup,Lentils,,Olive oil,Herbs de Provence,,4.0,4.0,0
+Quinoa Sushi Roll,Quinoa,,Avocado oil,Soy sauce,Soy,6.5,4.6,1
+Turmeric Latte,Turmeric,Date syrup,Coconut oil,"Ginger, Black pepper",,3.75,4.3,0
+Seaweed Snack,Seaweed,,Sesame oil,Nori seasoning,,2.5,3.9,0
+Hazelnut Milkshake,Hazelnuts,Agave syrup,Hazelnut oil,Cocoa powder,Tree nuts,5.25,4.8,1
+Spicy Black Bean Wrap,Black Beans,,,"Hot sauce, Lime",,6.0,4.1,0
+=======
+Food Product,Main Ingredient,Sweetener,Fat/Oil,Seasoning,Allergens,Price ($),Customer rating (Out of 5),Predictions
+Blueberry Protein Bar,Blueberries,Honey,Almond oil,Vanilla extract,Tree nuts,2.99,4.2,1
+Mango Chia Pudding,Mango,Coconut sugar,Coconut milk,Cardamom,Coconut,4.49,4.5,1
+Beetroot Chips,Beetroot,,Olive oil,Sea salt,,3.25,3.8,0
+Pumpkin Spice Muffin,Pumpkin,Maple syrup,Butter,"Cinnamon, Nutmeg","Wheat, Dairy",5.75,4.7,1
+Lentil Soup,Lentils,,Olive oil,Herbs de Provence,,4.0,4.0,0
+Quinoa Sushi Roll,Quinoa,,Avocado oil,Soy sauce,Soy,6.5,4.6,1
+Turmeric Latte,Turmeric,Date syrup,Coconut oil,"Ginger, Black pepper",,3.75,4.3,0
+Seaweed Snack,Seaweed,,Sesame oil,Nori seasoning,,2.5,3.9,0
+Hazelnut Milkshake,Hazelnuts,Agave syrup,Hazelnut oil,Cocoa powder,Tree nuts,5.25,4.8,1
+Spicy Black Bean Wrap,Black Beans,,,"Hot sauce, Lime",,6.0,4.1,0
+>>>>>>> cd4c9fce709b200dce5d8728f7cbc560803e0d0c

scripts/flask_api.py

@@ -1,13 +1,22 @@
 from flask import Flask, request, jsonify
 import joblib
 import pandas as pd
+import os
 
 app = Flask(__name__)
 
-# Load pre-trained model
-model_path = "C:/Users/Akshi/FoodAllergyDetection/models/best_decision_tree_model.pkl"  # Update with the correct model path
+
+
+# Get the absolute path to the 'models' directory
+model_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'models', 'best_decision_tree_model.pkl')
+
+# Now load the model
 model = joblib.load(model_path)
 
+
+
+
+
 @app.route('/')
 def home():
     return "Food Allergen Prediction API is running!"
@@ -37,4 +46,6 @@ def predict():
         return jsonify({"error": f"An error occurred: {e}"}), 500
 
 if __name__ == "__main__":
-    app.run(debug=True)
+    port = int(os.environ.get('PORT', 5000))
+    app.run(host='0.0.0.0', port=port, debug=True)
+

scripts/requirements.txt

@@ -0,0 +1,132 @@
+altair==5.4.1
+anyio==4.6.2.post1
+argon2-cffi==23.1.0
+argon2-cffi-bindings==21.2.0
+arrow==1.3.0
+asttokens==2.4.1
+async-lru==2.0.4
+attrs==24.2.0
+babel==2.16.0
+beautifulsoup4==4.12.3
+bleach==6.2.0
+blinker==1.9.0
+cachetools==5.5.0
+category-encoders==2.6.4
+certifi==2024.8.30
+cffi==1.17.1
+charset-normalizer==3.4.0
+click==8.1.7
+colorama==0.4.6
+comm==0.2.2
+contourpy==1.3.1
+cycler==0.12.1
+debugpy==1.8.9
+decorator==5.1.1
+defusedxml==0.7.1
+executing==2.1.0
+fastjsonschema==2.20.0
+Flask==3.1.0
+Flask-Cors==5.0.0
+fonttools==4.55.0
+fqdn==1.5.1
+gitdb==4.0.11
+GitPython==3.1.43
+h11==0.14.0
+httpcore==1.0.7
+httpx==0.27.2
+idna==3.10
+ipykernel==6.29.5
+ipython==8.29.0
+isoduration==20.11.0
+itsdangerous==2.2.0
+jedi==0.19.2
+Jinja2==3.1.4
+joblib==1.4.2
+json5==0.9.28
+jsonpointer==3.0.0
+jsonschema==4.23.0
+jsonschema-specifications==2024.10.1
+jupyter-events==0.10.0
+jupyter-lsp==2.2.5
+jupyter_client==8.6.3
+jupyter_core==5.7.2
+jupyter_server==2.14.2
+jupyter_server_terminals==0.5.3
+jupyterlab==4.2.6
+jupyterlab_pygments==0.3.0
+jupyterlab_server==2.27.3
+kiwisolver==1.4.7
+markdown-it-py==3.0.0
+MarkupSafe==3.0.2
+matplotlib==3.9.2
+matplotlib-inline==0.1.7
+mdurl==0.1.2
+mistune==3.0.2
+narwhals==1.14.1
+nbclient==0.10.0
+nbconvert==7.16.4
+nbformat==5.10.4
+nest-asyncio==1.6.0
+notebook==7.2.2
+notebook_shim==0.2.4
+numpy==2.1.3
+overrides==7.7.0
+packaging==24.2
+pandas==2.2.3
+pandocfilters==1.5.1
+parso==0.8.4
+patsy==1.0.1
+pillow==11.0.0
+platformdirs==4.3.6
+prometheus_client==0.21.0
+prompt_toolkit==3.0.48
+protobuf==5.28.3
+psutil==6.1.0
+pure_eval==0.2.3
+pyarrow==18.0.0
+pycparser==2.22
+pydeck==0.9.1
+Pygments==2.18.0
+pyparsing==3.2.0
+python-dateutil==2.9.0.post0
+python-json-logger==2.0.7
+pytz==2024.2
+pywin32==308; platform_system == "Windows"
+PyYAML==6.0.2
+pyzmq==26.2.0
+referencing==0.35.1
+requests==2.32.3
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rich==13.9.4
+rpds-py==0.21.0
+scikit-learn==1.5.2
+scipy==1.14.1
+seaborn==0.13.2
+Send2Trash==1.8.3
+setuptools==75.6.0
+six==1.16.0
+smmap==5.0.1
+sniffio==1.3.1
+soupsieve==2.6
+stack-data==0.6.3
+statsmodels==0.14.4
+streamlit==1.40.1
+tenacity==9.0.0
+terminado==0.18.1
+threadpoolctl==3.5.0
+tinycss2==1.4.0
+toml==0.10.2
+tornado==6.4.2
+traitlets==5.14.3
+types-python-dateutil==2.9.0.20241003
+typing_extensions==4.12.2
+tzdata==2024.2
+uri-template==1.3.0
+urllib3==2.2.3
+watchdog==6.0.0
+wcwidth==0.2.13
+webcolors==24.11.1
+webencodings==0.5.1
+websocket-client==1.8.0
+Werkzeug==3.1.3