updated dockerfile for machine_learning_client, initial setup for doc…

…kercompose

Pipfile

@@ -9,6 +9,9 @@ black = "*"
 pytest = "*"
 flask = "*"
 pymongo = "*"
+speechrecognition = "*"
+pyaudio = "*"
+setuptools = "*"
 
 [dev-packages]
 

docker-compose.yaml

@@ -0,0 +1,20 @@
+version: "3.11"
+
+services:
+  frontend:
+    build: ./web-app # build the Docker image from the Dockerfile in the front-end directory
+    ports:
+      - 3000:3000 # map port 3000 of host machine to port 3000 of container
+    depends_on:
+      - backend
+    command: python app.py # command to start up the front-end once the container is up and running
+
+
+
+  backend:
+    build: 
+    ports:
+      -
+    depends_on:
+      - db
+    command: python machine_learning_client.py

machine-learning-client/Dockerfile.txt → machine-learning-client/Dockerfile

@@ -2,12 +2,14 @@ FROM python:3.11
 
 WORKDIR /app
 
-COPY Pipfile Pipfile.lock ./
+#COPY Pipfile Pipfile.lock ./
 
-RUN pip install pipenv && pipenv install --deploy --ignore-pipfile
+#RUN pip install pipenv && pipenv install --deploy --ignore-pipfile
 RUN apt-get -y update
 RUN apt-get -y install libasound-dev
 RUN apt-get -y install portaudio19-dev
+# Set up microphone access in the Dockerfile
+RUN apt-get update && apt-get install -y alsa-utils
 
 WORKDIR /usr/src/app
 COPY requirements.txt ./
@@ -16,4 +18,4 @@ COPY . .
 
 RUN pip install -r requirements.txt
 
-CMD ["pipenv", "run", "python", "machine_learning_client.py"]
+CMD ["python"]

machine-learning-client/machine_learning_client.py

@@ -2,13 +2,35 @@
 from pymongo import MongoClient
 import pymongo
 import datetime
+import pyaudio
 import speech_recognition as sr
 import sys
 
-r = sr.recognizer()
+r = sr.Recognizer()
+pa = pyaudio.PyAudio()
+def listAllMic():
+    """
+    List all available microphone device
+    """
+    if (len(sr.Microphone.list_microphone_names()) == 0):
+        print("no device available")
+        return
+
+    for index, name in enumerate(sr.Microphone.list_microphone_names()):
+        print("Microphone with name \"{1}\" found for `Microphone(device_index={0})`".format(index, name))
 
 def record_microphone():
-    with sr.Microphone() as source:
+    listAllMic()                 #Use for debug
+    mc = None
+    try:
+        mc = sr.Microphone()
+        print("Mic init successful")
+    except OSError:
+        mc = sr.Microphone(0)
+        print("no default mic")
+
+
+    with mc as source:
         print("Please give your answer:")
         audio = r.listen(source)
     return audio
@@ -17,13 +39,22 @@ def audio_to_text(audio):
     try:
         transcription = r.recognize_google(audio)
         print(transcription)
+        print(type(transcription))
     except sr.UnknownValueError:
         print("Sorry, we could not recognize your response.")
     except sr.RequestError as e:
         print("Sorry, there appears to be an error with Google Speech to Text")
 
 def grade_response(transcription):
+    """
+    Give out a score based on the transcribed audio
+
+
+    Args:
+        transcription (str): transcribed audio
+    """
     print("working on it...")
+
 
 def main():
     print("Tell me a little bit about yourself")

machine-learning-client/requirements.txt

@@ -0,0 +1,3 @@
+pymongo
+SpeechRecognition
+pyaudio == 0.2.11