durganihantri
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Browse files- backend/app.py +41 -0
backend/app.py
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from flask import Flask, request, jsonify
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import cv2
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import speech_recognition as sr
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from deepface import DeepFace
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app = Flask(__name__)
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@app.route('/analyze_face', methods=['POST'])
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def analyze_face():
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file = request.files['video']
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video_path = "uploaded_video.mp4"
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file.save(video_path)
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cap = cv2.VideoCapture(video_path)
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emotions = []
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while True:
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ret, frame = cap.read()
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if not ret:
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break
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analysis = DeepFace.analyze(frame, actions=['emotion'])
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emotions.append(analysis[0]['dominant_emotion'])
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cap.release()
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return jsonify({"emotions": emotions})
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@app.route('/analyze_speech', methods=['POST'])
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def analyze_speech():
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file = request.files['audio']
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audio_path = "uploaded_audio.wav"
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file.save(audio_path)
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recognizer = sr.Recognizer()
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with sr.AudioFile(audio_path) as source:
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audio = recognizer.record(source)
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text = recognizer.recognize_google(audio)
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return jsonify({"transcribed_text": text})
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if __name__ == '__main__':
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app.run(debug=True)
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