Update app.py

app.py

@@ -16,6 +16,24 @@ from pyannote.audio import Pipeline
 import time
 import ffmpeg
 
+# Configuration Management
+class Config:
+    GEMINI_MODEL = "gemini-1.5-flash"
+    GEMINI_TEMPERATURE = 0.1
+    BATCH_SIZE = 5
+    RATE_LIMIT_DELAY = 6  # seconds between API calls
+    
+    # Logging configuration
+    LOG_FORMAT = '%(asctime)s - %(levelname)s - %(message)s'
+    LOG_LEVEL = logging.INFO
+
+# Initialize logging
+logging.basicConfig(
+    level=Config.LOG_LEVEL,
+    format=Config.LOG_FORMAT
+)
+
+
 # MediaProcessor class handles media processing (transcription and diarization)
 class MediaProcessor:
     def __init__(self, auth_token: str):
@@ -136,6 +154,7 @@ class MITIAnalyzer:
     def __init__(self, api_key):
         # Set the API key for Google Gemini
         genai.configure(api_key=api_key)
+        self.model = genai.GenerativeModel('gemini-1.5-flash')
         self.global_scores = {
             "cultivating_change": None,
             "softening_sustain-talk": None,
@@ -154,6 +173,9 @@ class MITIAnalyzer:
             "emphasize": 0,  # Emphasizing Autonomy
             "confront": 0
         }
+        logging.info("MITIAnalyzer initialized successfully")
+
+    
 
     def extract_score(self, response_text):
         """Extract numerical score from Gemini API response"""
@@ -176,7 +198,7 @@ class MITIAnalyzer:
         model = genai.GenerativeModel('gemini-1.5-flash')
         generation_config = genai.GenerationConfig(max_output_tokens=2048)
         for dimension in self.global_scores.keys():
-            prompt = self.load_prompt(f"Motivational-Interviewing/prompts/prompts/0{list(self.global_scores.keys()).index(dimension)+1}-MITI-global-{dimension.replace('_', '-')}.md")
+            prompt = self.load_prompt(f"MEXA-tranquil-turing/Motivational-Interviewing/prompts/prompts/0{list(self.global_scores.keys()).index(dimension)+1}-MITI-global-{dimension.replace('_', '-')}.md")
         
             full_prompt = f"{prompt}\n\n<transcript>\n{transcript_df.to_csv(index=False)}\n</transcript>"