add manager

f3d3eb35 · YarBurArt · 33bee0d1 · f3d3eb35 · f3d3eb35 · f3d3eb35
--- a/__pycache__/imgshow.cpython-310.pyc
+++ b/__pycache__/imgshow.cpython-310.pyc
--- a/__pycache__/spr2.cpython-310.pyc
+++ b/__pycache__/spr2.cpython-310.pyc
--- a/__pycache__/text2audio.cpython-310.pyc
+++ b/__pycache__/text2audio.cpython-310.pyc
--- a/deeptxtgen.py
+++ b/deeptxtgen.py
-import requests
-# just test api for rei reply 
-
-url = "https://api.deepai.org/api/text-generator"
-API-KEI = 'quickstart-QUdJIGlzIGNvbWluZy4uLi4K'
-
-response = requests.post(
-    url,
-    data = {'text': 'tetx'},
-    headers={'api-key': API-KEI}
-)
-print(response.json())
--- a/emorec.py
+++ b/emorec.py
@@ -4,10 +4,18 @@ import bleedfacedetector as fd
 import numpy as np
 import time
 import os
+import socket

 import imgshow


+host = socket.gethostname()  # as both code is running on same pc
+port = 5000  # socket server port number
+
+client_socket = socket.socket()  # instantiate
+client_socket.connect((host, port))  # connect to the server
+
+
 def init_emotion(
    model="models/emotion-ferplus-8.onnx"
    ):
@@ -65,8 +73,10 @@ def emotion(image, returndata=False):
        # Get the predicted emotion
        predicted_emotion = emotions[prob.argmax()]
        print(predicted_emotion)
-        if predicted_emotion == 'Happy':
-            imgshow.showimg_tk('graphics/r1.png', "it's good that you feel alive")
+        if predicted_emotion in ['Happy', 'Surprise', 'Sad',
+                                 'Anger', 'Disgust', 'Fear', 'Contempt']:
+            # imgshow.showimg_tk('graphics/r1.png', "it's good that you feel alive")
+            client_socket.send(predicted_emotion.encode())
        # Write predicted emotion on image
        cv2.putText(img_copy, '{}'.format(predicted_emotion),
                    (x, y + h + (1 * 20)), 
@@ -124,5 +134,6 @@ while True:
                raise Exception("exit")
    except Exception as ex: 
        break
+
 cap.release()
 cv2.destroyAllWindows()
--- a/manager.py
+++ b/manager.py
+from spr2 import record_audio, recognize_voice
+import socket
+import asyncio
+from imgshow import showimg_tk
+from chatKeai import get_gpt2_text  # rewtite
+import autopc
+from deep_translator import GoogleTranslator
+
+
+translator = GoogleTranslator(source='ru', target='en')
+translator1 = GoogleTranslator(source='en', target='ru')
+
+
+async def check_voice():
+    while True:
+        await asyncio.sleep(3)
+        if sec := input("enter sec:"):
+            if sec == "q":
+                break
+
+            print('start recording')
+            record_audio(int(sec))
+            print('end recording')
+            await asyncio.sleep(0.2)
+            text = recognize_voice(lang='ru')
+
+            if "питон" in text.split(" "):
+                autopc.run_devkit("python")
+            if "плюсы" in text.split(" "):
+                autopc.run_devkit("c++")
+            if "интернет" in text.split(" "):
+                autopc.run_browser()
+            if "консоль" in text.split(" "):
+                autopc.run_consol()
+            if "системы" in text.split(" "):
+                autopc.sys_statistics()
+            else:
+                translated = translator.translate(text)
+                text = get_gpt2_text("tell me how is my anime girl: " + translated)
+                showimg_tk("graphics/r1.png", text, ismuz=True)
+
+host = socket.gethostname()
+port = 5000
+server_socket = socket.socket()
+server_socket.bind((host, port))
+server_socket.listen(2)
+conn, address = server_socket.accept()
+print("Connection from: " + str(address))
+
+
+async def check_emotion():
+    while True:
+        await asyncio.sleep(0.5)
+        data = conn.recv(1024).decode()
+        if not data:
+            conn.close()
+            break
+        print("from connected user: " + str(data))
+        if data == "Happy":
+            text = get_gpt2_text("tell me how is my anime girl: hello, i feel happy")
+            showimg_tk("graphics/r1.png", text, ismuz=True)
+
+loop = asyncio.get_event_loop()
+cors = asyncio.wait([check_voice(), check_emotion()])
+loop.run_until_complete(cors)