Create app.py

app.py

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+import cv2
+import face_recognition
+import requests
+import os
+from deepface import DeepFace
+
+# --- CONFIGURATION ---
+KOKORO_API_URL = "https://shahid202-kokoro-api.hf.space/generate" # Adjust endpoint if different
+OWNER_IMAGE_PATH = "faces/owner.jpg"
+TEMP_AUDIO = "response.wav"
+
+# Load Owner Face
+owner_image = face_recognition.load_image_file(OWNER_IMAGE_PATH)
+owner_encoding = face_recognition.face_encodings(owner_image)[0]
+
+def get_bot_response(user_msg, mood):
+    """
+    Simulates your bot logic. 
+    It combines your message with the detected mood.
+    """
+    # Integrate your existing bot code here
+    return f"I see you are feeling {mood}. You said: {user_msg}"
+
+def speak(text):
+    """Sends text to Kokoro API and plays the result."""
+    payload = {
+        "text": text,
+        "voice": "af_bella", # Or your preferred voice ID
+        "speed": 1.0
+    }
+    try:
+        response = requests.post(KOKORO_API_URL, json=payload)
+        if response.status_code == 200:
+            with open(TEMP_AUDIO, "wb") as f:
+                f.write(response.content)
+            # Use OS command to play audio (Windows: start, Mac: afplay, Linux: aplay)
+            os.system(f"start {TEMP_AUDIO}") 
+    except Exception as e:
+        print(f"Speech Error: {e}")
+
+def run_space():
+    video_capture = cv2.VideoCapture(0)
+    print("System Active. Press 'q' to quit.")
+
+    while True:
+        ret, frame = video_capture.read()
+        if not ret: break
+
+        # 1. Face Recognition
+        rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        face_locations = face_recognition.face_locations(rgb_frame)
+        face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
+
+        status = "No Face"
+        mood = "Unknown"
+
+        for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
+            matches = face_recognition.compare_faces([owner_encoding], face_encoding)
+            
+            if True in matches:
+                status = "Owner recognized"
+                # 2. Mood Detection (DeepFace)
+                try:
+                    analysis = DeepFace.analyze(frame, actions=['emotion'], enforce_detection=False)
+                    mood = analysis[0]['dominant_emotion']
+                except:
+                    mood = "Neutral"
+                
+                color = (0, 255, 0) # Green for Owner
+            else:
+                status = "Stranger"
+                mood = "N/A"
+                color = (0, 0, 255) # Red for Stranger
+
+            # Draw Box
+            cv2.rectangle(frame, (left, top), (right, bottom), color, 2)
+            cv2.putText(frame, f"{status} ({mood})", (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.6, color, 2)
+
+        cv2.imshow('AI Assistant Camera', frame)
+
+        # 3. Input Handling (Press 's' to Send Message while looking at camera)
+        key = cv2.waitKey(1) & 0xFF
+        if key == ord('s'):
+            if status == "Owner recognized":
+                msg = input("Enter message for Bot: ")
+                reply = get_bot_response(msg, mood)
+                print(f"Bot: {reply}")
+                speak(reply)
+            elif status == "Stranger":
+                speak("Stranger detected. Access denied.")
+
+        if key == ord('q'):
+            break
+
+    video_capture.release()
+    cv2.destroyAllWindows()
+
+if __name__ == "__main__":
+    run_space()
+