Added more reports

classification_report.txt

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+Classification Report:
+              precision    recall  f1-score   support
+
+        Real       0.95      0.97      0.96       407
+        Fake       0.97      0.95      0.96       393
+
+    accuracy                           0.96       800
+   macro avg       0.96      0.96      0.96       800
+weighted avg       0.96      0.96      0.96       800
+
+Confusion Matrix:
+[[396  11]
+ [ 21 372]]

metrics.json

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+{
+    "epoch": 4,
+    "accuracy": 0.96,
+    "f1_score": 0.9587628865979381,
+    "auc": 0.9597689292345782
+}

requirements.txt

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+fastapi
+uvicorn
+torch
+transformers
+decord
+Pillow
+scikit-learn