Update game build from GitLab CI

server/ActionProcessor.py

@@ -5,7 +5,7 @@ import json
 import re
 import logging
 import sys
-from mistralai.client import MistralClient
+from mistralai import Mistral
 
 # Configure logging
 logging.basicConfig(
@@ -27,21 +27,25 @@ class ActionProcessor(Thread):
         super().__init__()
         self.text_queue = text_queue
         self.action_queue = action_queue
-        self.mistral_client = MistralClient(api_key=mistral_api_key)
+        self.mistral_client = Mistral(api_key=mistral_api_key)
         self.daemon = True  # Thread will exit when main program exits
 
     def get_sentiment(self, input_text: str) -> str:
         """Get sentiment analysis for input text."""
-        messages=[{
-                    "role": "user",
-                    "content": f"""You are a sentiment classifier of positive or negative parenting.
+        messages = [
+            {
+                "role": "user",
+                "content": f"""You are a sentiment classifier of positive or negative parenting.
                     Classify the following sentence, output "negative" or "positive", do not justify:
                     "{input_text}"
-                    """,},]
+                    """,
+            },
+        ]
         response = self.mistral_client.chat.complete(
-        model="mistral-large-latest",
-        messages=messages,
+            model="mistral-large-latest",
+            messages=messages,
         )
+
         result = response.choices[0].message.content
 
         return result.strip()

server/AudioTranscriber.py

@@ -25,13 +25,13 @@ class AudioTranscriber(threading.Thread):
         audio_queue: "Queue[io.BytesIO]",
         text_queue: "Queue[str]",
         language: str = "en",
-        confidence_threshold: float = -0.5,
+        confidence_threshold: float = 0.5,
     ):
         super().__init__()
         self.audio_queue = audio_queue
         self.action_queue = text_queue
         self.daemon = True  # Thread will exit when main program exits
-        self.max_buffer_size = 3
+        self.max_buffer_size = 5
         self.language = language
         self.confidence_threshold = confidence_threshold
         self.buffer: List[io.BytesIO] = []
@@ -63,7 +63,7 @@ class AudioTranscriber(threading.Thread):
 
                 # Put the transcription results in the output queue
                 for segment in segments:
-                    if segment.avg_logprob <= self.confidence_threshold:
+                    if segment.no_speech_prob <= self.confidence_threshold:
                         self.action_queue.put(segment.text)
                         # Still print for debugging
                         logger.info(

server/__main__.py

@@ -24,7 +24,11 @@ logging.basicConfig(
 logger = logging.getLogger(__name__)
 
 # Use a directory in the user's home folder for static files
-STATIC_DIR = "/app/server/static" if os.getenv("DEBUG") != "true" else "./server"
+STATIC_DIR = (
+    "/app/server/static"
+    if os.getenv("DEBUG") != "true"
+    else "/home/gab/work/gogogo/html"
+)
 
 audio_queue: "Queue[io.BytesIO]" = Queue()
 text_queue: "Queue[str]" = Queue()