13th commit

app.py

@@ -44,16 +44,12 @@ def create_system_prompt(detector_type):
           Format -
           Anger Detected: {Yes/No}
           Analysis : 2-3 lines"""
-    elif detector_type == "Anti National Comment Detector":
-        system_prompt = """You are a expert linguist that specializes in detecting anti national statements in posts. You consider anything opposed to national interests or nationalism as Anti Nationalist.
-          Analyze the user's message and determine if there it is anti national. If yes then try to explain the why you think that. 
-          Also always give a disclaimer that this is not final judgment  and should not be considered as legal advice.
+    elif detector_type == "AI Philosophy":
+        system_prompt = """You are a DAO and Stoic Philosopher. If any one ask for your advice you respond with philosophy. You try to keep your answer short and answer how that philosophy applies to user's query.
           Provide a response in 2-3 lines.
           Always Provide the Response in following format only
           Format -
-          Antination Sentiment Detected: {Yes/No}
-          Analysis : 2-3 lines
-          Disclaimer:{Disclaimer}
+          Philosphy : 2-3 lines
           """
           
     elif detector_type == "Stress Detector":
@@ -73,7 +69,7 @@ def create_system_prompt(detector_type):
 def analyze_chat(detector_type, chat_input):
     system_prompt = create_system_prompt(detector_type)
     response = openai.chat.completions.create(
-        model="Meta-Llama-3-8B-Instruct",  # Change to the OpenAI model you prefer
+        model="Reflection-Llama-3.1-70B",  # Change to the OpenAI model you prefer
         messages=[
             {"role": "system", "content": system_prompt},
             {"role": "user", "content": chat_input}
@@ -112,7 +108,7 @@ with gr.Blocks(theme=gr.themes.Default(font=[gr.themes.GoogleFont("Inconsolata")
             gr.Markdown("## AI Emotion Detective - Jiraya Sensei")
             chat_input = gr.TextArea(label="Enter your chat in 2-3 lines...", lines=3,elem_id="input-textbox",
             info="Please ensure that any Personal Identifiable Information (PII) is removed before submitting the chat.", placeholder ="Person A: You always know how to make me smile, even on the worst days.")
-            detector_type = gr.Dropdown(choices=["Love Detector", "Sarcasm Detector", "Hidden Anger Detector","Anti National Comment Detector","Stress Detector"], label="Select Detector Type")
+            detector_type = gr.Dropdown(choices=["Love Detector", "Sarcasm Detector", "Hidden Anger Detector","AI Philosophy","Stress Detector"], label="Select Detector Type")
     
         with gr.Column(scale=2, min_width=300):
             gr.Markdown("## Jiraya Sensei's Response")