AI_Project-1.ipynb

{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":59235,"status":"ok","timestamp":1701939611776,"user":{"displayName":"Usmana Zulfiqar","userId":"05108835310455608227"},"user_tz":-300},"id":"dfPYybcKjvoe","outputId":"a1f1e83f-bf2c-4455-8835-b722ee0c19a7"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"background_save":true},"id":"yUzxU58_quK0"},"outputs":[],"source":["import os\n","import librosa\n","import pandas as pd\n","from tensorflow.keras.models import Sequential\n","from sklearn.model_selection import train_test_split\n","from sklearn.preprocessing import LabelEncoder\n","from tensorflow.keras.utils import to_categorical\n","import numpy as np"]},{"cell_type":"markdown","metadata":{"id":"pRhbQCawkQGm"},"source":["Read the CSV file into a DataFrame"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"sn3xTWbokTXe"},"outputs":[],"source":["csv_file_path = 'QDAT_Quran Recitation.csv'\n","df = pd.read_csv(csv_file_path)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":15,"status":"ok","timestamp":1701874902207,"user":{"displayName":"Zunaisha Noor","userId":"16339321207923575228"},"user_tz":-300},"id":"zKgvV1mh72FD","outputId":"abfc1635-fd5f-41c6-9f25-306c1195d087"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-dbe3877f-52d2-42fc-be76-e2c94e419da2\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th 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"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["df.head(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JTHK3Gk-r-qr"},"outputs":[],"source":["import librosa\n","import numpy as np\n","\n","def extract_features(audio_file):\n","    y, sr = librosa.load(audio_file, sr=None)\n","    mfccs = librosa.feature.mfcc(y=y, sr=sr, n_mfcc=13)\n","    chroma = librosa.feature.chroma_stft(y=y, sr=sr)\n","    spectral_contrast = librosa.feature.spectral_contrast(y=y, sr=sr)\n","    features = np.concatenate([mfccs.mean(axis=1), chroma.mean(axis=1), spectral_contrast.mean(axis=1)])\n","\n","    return features\n","df['features'] = df['audio_links'].apply(extract_features)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"djMLcJ6Rr-wk"},"outputs":[],"source":["from sklearn.model_selection import train_test_split\n","\n","X_train, X_test, y_train, y_test = train_test_split(df['features'].tolist(), df['Target'], test_size=0.2, random_state=42)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ewSyRZAbr-zR"},"outputs":[],"source":["from sklearn.ensemble import RandomForestClassifier\n","\n","model = RandomForestClassifier(n_estimators=100, random_state=42)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":75},"executionInfo":{"elapsed":520,"status":"ok","timestamp":1701876615159,"user":{"displayName":"Zunaisha Noor","userId":"16339321207923575228"},"user_tz":-300},"id":"MowR0_xWr-2Q","outputId":"5ce584b7-50f8-429a-928f-5bba648812c9"},"outputs":[{"data":{"text/html":["<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=42)</pre></div></div></div></div></div>"],"text/plain":["RandomForestClassifier(random_state=42)"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["model.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FJoRnlDDr-6j"},"outputs":[],"source":["y_pred = model.predict(X_test)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1701876644617,"user":{"displayName":"Zunaisha Noor","userId":"16339321207923575228"},"user_tz":-300},"id":"eDbd296mwIIT","outputId":"32c147d0-d5a7-47a3-8f07-976986d28319"},"outputs":[{"name":"stdout","output_type":"stream","text":["Accuracy: 0.75\n","Classification Report:\n","              precision    recall  f1-score   support\n","\n","           0       0.71      1.00      0.83         5\n","           1       1.00      0.33      0.50         3\n","\n","    accuracy                           0.75         8\n","   macro avg       0.86      0.67      0.67         8\n","weighted avg       0.82      0.75      0.71         8\n","\n"]}],"source":["from sklearn.metrics import accuracy_score, classification_report\n","\n","accuracy = accuracy_score(y_test, y_pred)\n","print(f\"Accuracy: {accuracy}\")\n","\n","report = classification_report(y_test, y_pred)\n","print(\"Classification Report:\")\n","print(report)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9rXZCDgXxgKK"},"outputs":[],"source":["import joblib"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":692,"status":"ok","timestamp":1701877278748,"user":{"displayName":"Zunaisha Noor","userId":"16339321207923575228"},"user_tz":-300},"id":"0AsE8W1QwIMx","outputId":"1a35444c-6dcc-48ea-f2fa-ec1b9e783bf5"},"outputs":[{"data":{"text/plain":["['/content/drive/MyDrive/AI Project/P1/Quran_e_pak/Zunaisha_model.joblib']"]},"execution_count":42,"metadata":{},"output_type":"execute_result"}],"source":["model_path = 'model.joblib'\n","joblib.dump(model, model_path)"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}