diff --git a/.env.example b/.env.example
new file mode 100644
index 0000000..88b4bcd
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,3 @@
+API_KEY=Put Open AI key here
+GPT_MODEL=gpt-4o-mini
+#GPT_MODEL=gpt-4-turbo # More expensive model, use sparingly
\ No newline at end of file
diff --git a/README.md b/README.md
index 4ca5146..6042755 100644
--- a/README.md
+++ b/README.md
@@ -14,6 +14,23 @@ This applications uses the React Native + Expo framework and by extension is pri
 
 This is an [Expo](https://expo.dev) project created with [`create-expo-app`](https://www.npmjs.com/package/create-expo-app).
 
+### Setting Up Environment Variables
+
+To set up your environment variables:
+
+1. Copy the example environment variable file to create your own .env file:
+
+cp .env.example .env
+
+2. Open the .env file and add your OpenAI API key:
+
+API_KEY=your_openai_api_key_here
+MODEL_NAME=your_model_name
+
+3. Save the .env file.
+
+This setup allows you to run the application with your own API credentials, and you can switch models if needed.
+
 ### VSCode plugins
 
 - [Prettier](https://marketplace.visualstudio.com/items?itemName=esbenp.prettier-vscode)
diff --git a/babel.config.js b/babel.config.js
index e11269c..c0fa271 100644
--- a/babel.config.js
+++ b/babel.config.js
@@ -1,9 +1,5 @@
 module.exports = {
-  presets: [
-    "module:metro-react-native-babel-preset",
-    "babel-preset-expo",
-    "@babel/preset-typescript",
-  ],
+  presets: ["babel-preset-expo", "@babel/preset-typescript"],
   plugins: [
     [
       "module:react-native-dotenv",
@@ -14,5 +10,6 @@ module.exports = {
         allowUndefined: false,
       },
     ],
+    "react-native-reanimated/plugin",
   ],
 };
diff --git a/components/ChipDetection.tsx b/components/ChipDetection.tsx
index dac07c9..78815ec 100644
--- a/components/ChipDetection.tsx
+++ b/components/ChipDetection.tsx
@@ -8,7 +8,7 @@ import {
   ScrollView,
 } from "react-native";
 import * as ImagePicker from "expo-image-picker";
-import { API_KEY } from "@env";
+import { API_KEY, MODEL_NAME } from "@env";
 
 const ChipDetection = ({ updateChipCount }) => {
   const [imageUri, setImageUri] = useState(null);
@@ -16,7 +16,6 @@ const ChipDetection = ({ updateChipCount }) => {
   const [error, setError] = useState(null);
   const [lastDetectedChips, setLastDetectedChips] = useState({});
 
-  // Ensure early return does not break hooks
   const requestCameraPermissions = async () => {
     const cameraPermission = await ImagePicker.requestCameraPermissionsAsync();
     return cameraPermission.granted;
@@ -67,7 +66,7 @@ const ChipDetection = ({ updateChipCount }) => {
             "Content-Type": "application/json",
           },
           body: JSON.stringify({
-            model: "gpt-4o-mini",
+            model: MODEL_NAME,
             messages: [
               {
                 role: "system",
@@ -112,11 +111,10 @@ const ChipDetection = ({ updateChipCount }) => {
       setLastDetectedChips(filteredData); // Store detected chip counts
       updateChipCount(filteredData);
     } catch (error) {
-      console.error("Error processing image:", error);
       setError("Failed to analyze the image.");
+    } finally {
+      setLoading(false);
     }
-
-    setLoading(false);
   };
 
   return (
diff --git a/components/__tests__/ChipDetection.test.tsx b/components/__tests__/ChipDetection.test.tsx
index dd1d010..cf42513 100644
--- a/components/__tests__/ChipDetection.test.tsx
+++ b/components/__tests__/ChipDetection.test.tsx
@@ -1,18 +1,150 @@
-import ChipDetection from "@/components/ChipDetection";
-import { render } from "@testing-library/react-native";
 import React from "react";
+import { render, fireEvent, waitFor } from "@testing-library/react-native";
+import ChipDetection from "@/components/ChipDetection";
+import * as ImagePicker from "expo-image-picker";
 
-const totalChipsCount: number[] = [];
-const mockSetTotalChipsCount = jest.fn();
+const mockUpdateChipCount = jest.fn();
 
-const rend = render(
-  <ChipDetection
-    totalChipsCount={totalChipsCount}
-    setTotalChipsCount={mockSetTotalChipsCount}
-  />
-);
+jest.mock("expo-image-picker", () => ({
+  requestCameraPermissionsAsync: jest.fn(),
+  launchImageLibraryAsync: jest.fn(),
+  launchCameraAsync: jest.fn(),
+  MediaTypeOptions: {
+    Images: "image",
+  },
+}));
 
-describe("tests for ChipDetection", () => {
-  it.todo("first test");
-  it.todo("second test");
+describe("ChipDetection", () => {
+  beforeEach(() => {
+    jest.clearAllMocks();
+    global.fetch = jest.fn(() =>
+      Promise.resolve({
+        ok: true,
+        json: () =>
+          Promise.resolve({
+            choices: [
+              {
+                message: {
+                  content: JSON.stringify({ red: 5, green: 3, blue: 0 }),
+                },
+              },
+            ],
+          }),
+      })
+    );
+  });
+
+  it("renders correctly", () => {
+    const { getByText } = render(
+      <ChipDetection updateChipCount={mockUpdateChipCount} />
+    );
+    expect(getByText("Pick an Image")).toBeTruthy();
+    expect(getByText("Take a Photo")).toBeTruthy();
+  });
+
+  it("picks an image from the library", async () => {
+    ImagePicker.launchImageLibraryAsync.mockResolvedValueOnce({
+      canceled: false,
+      assets: [{ uri: "test-uri", base64: "test-base64" }],
+    });
+
+    const { getByText } = render(
+      <ChipDetection updateChipCount={mockUpdateChipCount} />
+    );
+    fireEvent.press(getByText("Pick an Image"));
+
+    await waitFor(() => expect(mockUpdateChipCount).toHaveBeenCalled());
+  });
+
+  it("takes a photo with the camera", async () => {
+    ImagePicker.requestCameraPermissionsAsync.mockResolvedValueOnce({
+      granted: true,
+    });
+    ImagePicker.launchCameraAsync.mockResolvedValueOnce({
+      canceled: false,
+      assets: [{ uri: "test-camera-uri", base64: "test-camera-base64" }],
+    });
+
+    const { getByText } = render(
+      <ChipDetection updateChipCount={mockUpdateChipCount} />
+    );
+    fireEvent.press(getByText("Take a Photo"));
+
+    await waitFor(() => expect(mockUpdateChipCount).toHaveBeenCalled());
+  });
+
+  it("handles camera permission denied", async () => {
+    ImagePicker.requestCameraPermissionsAsync.mockResolvedValueOnce({
+      granted: false,
+    });
+
+    const { getByText } = render(
+      <ChipDetection updateChipCount={mockUpdateChipCount} />
+    );
+    fireEvent.press(getByText("Take a Photo"));
+
+    await waitFor(() =>
+      expect(
+        getByText("Camera permission is required to take a photo.")
+      ).toBeTruthy()
+    );
+  });
+
+  it("displays error message on image processing failure", async () => {
+    ImagePicker.launchImageLibraryAsync.mockResolvedValueOnce({
+      canceled: false,
+      assets: [{ uri: "test-uri", base64: "test-base64" }],
+    });
+
+    global.fetch.mockImplementationOnce(() =>
+      Promise.resolve({
+        ok: false,
+        json: () => Promise.resolve({ choices: [] }),
+      })
+    );
+
+    const { getByText } = render(
+      <ChipDetection updateChipCount={mockUpdateChipCount} />
+    );
+    fireEvent.press(getByText("Pick an Image"));
+
+    await waitFor(() =>
+      expect(getByText("Failed to analyze the image.")).toBeTruthy()
+    );
+  });
+
+  it("handles valid API response correctly", async () => {
+    ImagePicker.launchImageLibraryAsync.mockResolvedValueOnce({
+      canceled: false,
+      assets: [{ uri: "test-uri", base64: "test-base64" }],
+    });
+
+    global.fetch.mockImplementationOnce(() =>
+      Promise.resolve({
+        ok: true,
+        json: () =>
+          Promise.resolve({
+            choices: [
+              {
+                message: {
+                  content: JSON.stringify({ red: 5, green: 3 }),
+                },
+              },
+            ],
+          }),
+      })
+    );
+
+    const { getByText } = render(
+      <ChipDetection updateChipCount={mockUpdateChipCount} />
+    );
+    fireEvent.press(getByText("Pick an Image"));
+
+    await waitFor(() =>
+      expect(mockUpdateChipCount).toHaveBeenCalledWith({
+        red: 5,
+        green: 3,
+      })
+    );
+  });
 });
diff --git a/package-lock.json b/package-lock.json
index 852170d..46b6d12 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -12,8 +12,6 @@
         "@expo/vector-icons": "^14.0.2",
         "@react-navigation/bottom-tabs": "^7.2.0",
         "@react-navigation/native": "^7.0.14",
-        "@tensorflow/tfjs": "^4.22.0",
-        "@tensorflow/tfjs-react-native": "^1.0.0",
         "expo": "~52.0.31",
         "expo-blur": "~14.0.3",
         "expo-constants": "~17.0.5",
@@ -54,8 +52,9 @@
         "eslint-plugin-prettier": "^5.2.3",
         "eslint-plugin-react": "^7.37.4",
         "eslint-plugin-react-native": "^5.0.0",
-        "jest": "^29.2.1",
+        "jest": "^29.7.0",
         "jest-expo": "~52.0.3",
+        "jest-fetch-mock": "^3.0.3",
         "prettier": "^3.4.2",
         "react-test-renderer": "18.3.1",
         "typescript": "^5.7.3"
@@ -3948,19 +3947,6 @@
         "react": "^16.8 || ^17.0 || ^18.0"
       }
     },
-    "node_modules/@react-native-async-storage/async-storage": {
-      "version": "1.24.0",
-      "resolved": "https://registry.npmjs.org/@react-native-async-storage/async-storage/-/async-storage-1.24.0.tgz",
-      "integrity": "sha512-W4/vbwUOYOjco0x3toB8QCr7EjIP6nE9G7o8PMguvvjYT5Awg09lyV4enACRx4s++PPulBiBSjL0KTFx2u0Z/g==",
-      "license": "MIT",
-      "peer": true,
-      "dependencies": {
-        "merge-options": "^3.0.4"
-      },
-      "peerDependencies": {
-        "react-native": "^0.0.0-0 || >=0.60 <1.0"
-      }
-    },
     "node_modules/@react-native/assets-registry": {
       "version": "0.76.7",
       "resolved": "https://registry.npmjs.org/@react-native/assets-registry/-/assets-registry-0.76.7.tgz",
@@ -4585,301 +4571,6 @@
         "@sinonjs/commons": "^3.0.0"
       }
     },
-    "node_modules/@tensorflow/tfjs": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.22.0.tgz",
-      "integrity": "sha512-0TrIrXs6/b7FLhLVNmfh8Sah6JgjBPH4mZ8JGb7NU6WW+cx00qK5BcAZxw7NCzxj6N8MRAIfHq+oNbPUNG5VAg==",
-      "license": "Apache-2.0",
-      "dependencies": {
-        "@tensorflow/tfjs-backend-cpu": "4.22.0",
-        "@tensorflow/tfjs-backend-webgl": "4.22.0",
-        "@tensorflow/tfjs-converter": "4.22.0",
-        "@tensorflow/tfjs-core": "4.22.0",
-        "@tensorflow/tfjs-data": "4.22.0",
-        "@tensorflow/tfjs-layers": "4.22.0",
-        "argparse": "^1.0.10",
-        "chalk": "^4.1.0",
-        "core-js": "3.29.1",
-        "regenerator-runtime": "^0.13.5",
-        "yargs": "^16.0.3"
-      },
-      "bin": {
-        "tfjs-custom-module": "dist/tools/custom_module/cli.js"
-      }
-    },
-    "node_modules/@tensorflow/tfjs-backend-cpu": {
-      "version": "4.22.0",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-backend-cpu/-/tfjs-backend-cpu-4.22.0.tgz",
-      "integrity": "sha512-1u0FmuLGuRAi8D2c3cocHTASGXOmHc/4OvoVDENJayjYkS119fcTcQf4iHrtLthWyDIPy3JiPhRrZQC9EwnhLw==",
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-      "dependencies": {
-        "@types/seedrandom": "^2.4.28",
-        "seedrandom": "^3.0.5"
-      },
-      "engines": {
-        "yarn": ">= 1.3.2"
-      },
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-        "@tensorflow/tfjs-core": "4.22.0"
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diff --git a/package.json b/package.json
index 7e1ef7f..b480359 100644
--- a/package.json
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