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