Avdhesh-Varshney · Nikhil210206 · Jan 14, 2025 · Jan 17, 2025 · Jan 17, 2025 · Jan 17, 2025
diff --git a/.DS_Store b/.DS_Store
diff --git a/DepressionDetection/.DS_Store b/DepressionDetection/.DS_Store
diff --git a/DepressionDetection/main.py b/DepressionDetection/main.py
@@ -0,0 +1,74 @@
+import os
+import cv2
+import dlib
+import numpy as np
+from flask import Flask, render_template, request, redirect, url_for
+from fer import FER
+
+app = Flask(__name__)
+
+UPLOAD_FOLDER = 'data'
+app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
+
+if not os.path.exists(UPLOAD_FOLDER):
+    os.makedirs(UPLOAD_FOLDER)
+
+# Initialize Dlib's face detector
+detector = dlib.get_frontal_face_detector()
+# Initialize the FER emotion detector
+emotion_detector = FER()
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/submit', methods=['POST'])
+def submit():
+    if 'image_file' not in request.files:
+        return "No file part in the request"
+
+    file = request.files['image_file']
+    if file.filename == '':
+        return "No file selected"
+
+    if file:
+        # Save the uploaded file
+        filepath = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
+        file.save(filepath)
+
+        # Read the image and convert to grayscale for face detection
+        image = cv2.imread(filepath)
+        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+        # Detect faces in the image
+        faces = detector(gray)
+
+        if len(faces) == 0:
+            return "No faces detected in the image"
+
+        # Process each face in the image
+        emotions = []
+        for face in faces:
+            # Extract the region of interest (ROI) where the face is
+            x, y, w, h = (face.left(), face.top(), face.width(), face.height())
+            roi = image[y:y+h, x:x+w]
+
+            # Detect emotions for the detected face using FER
+            emotion, score = emotion_detector.top_emotion(roi)
+            emotions.append((emotion, score))
+
+        # Analyze emotions
+        if emotions:
+            # Sort by the highest emotion score
+            most_common_emotion = max(emotions, key=lambda x: x[1])
+            emotion, score = most_common_emotion
+            message = f"The most prominent emotion detected is {emotion} with a confidence score of {score:.2f}."
+        else:
+            message = "No emotion detected"
+
+        return render_template('result.html', message=message)
+
+    return "File upload failed"
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/DepressionDetection/static/.DS_Store b/DepressionDetection/static/.DS_Store
diff --git a/DepressionDetection/templates/index.html b/DepressionDetection/templates/index.html
@@ -0,0 +1,28 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Depression Detection</title>
+</head>
+<body style="background-color:#f4f4f4; padding:20px; font-family: Arial, sans-serif;">
+    <h2 style="text-align:center;">Depression Detection System</h2>
+
+    <!-- Form for file upload -->
+    <form action="/submit" method="post" enctype="multipart/form-data">
+        <div style="text-align:center; margin-bottom:20px;">
+            <label for="chat_file">Upload Chat File:</label><br>
+            <input type="file" name="chat_file" id="chat_file" accept=".txt, .csv"><br>
+        </div>
+
+        <div style="text-align:center; margin-bottom:20px;">
+            <label for="image_file">Upload Image (for Face Emotion Detection):</label><br>
+            <input type="file" name="image_file" id="image_file" accept="image/*"><br>
+        </div>
+
+        <div style="text-align:center; margin-top:20px;">
+            <input type="submit" value="Submit">
+        </div>
+    </form>
+</body>
+</html>
diff --git a/DepressionDetection/templates/result.html b/DepressionDetection/templates/result.html
@@ -0,0 +1,12 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Upload Result</title>
+</head>
+<body>
+    <h1>{{ message }}</h1>
+    <a href="/">Go Back</a>
+</body>
+</html>
diff --git a/data/Refute C.docx b/data/Refute C.docx