Update app.py

app.py

@@ -29,13 +29,14 @@ def generate_sentiment_score(input_text, parameters):
     2. Consider phrases, word choices, or patterns of speech that convey positive or negative sentiment for each parameter.
     3. Based on your analysis, provide a sentiment score on a scale of 1-5 for each parameter, with 1 being extremely negative and 5 being extremely positive.
     Provide your scores in the format: Parameter: (Score).
+    4. The output should be like a professional interview reviewer(HR)
 
     Here's the transcript:
     {input_text}
     '''
 
     response = client.chat.completions.create(
-        model="meta-llama/Llama-3-70b-chat-hf",
+        model="microsoft/WizardLM-2-8x22B",
         messages=[
             {"role": "system", "content": "You are an AI assistant that analyzes interview transcripts and provides sentiment scores."},
             {"role": "user", "content": prompt}
@@ -58,7 +59,7 @@ def generate_detailed_feedback(input_text, parameters):
     '''
 
     response = client.chat.completions.create(
-        model="meta-llama/Llama-3-70b-chat-hf",
+        model="microsoft/WizardLM-2-8x22B",
         messages=[
             {"role": "system", "content": "You are an AI assistant that provides detailed feedback on interview transcripts."},
             {"role": "user", "content": prompt}