Update app.py

app.py

@@ -1,13 +1,31 @@
 import gradio as gr
 import openai
 import os
+import random
 
 # Setting up the API key for Groq API
 openai.api_key = os.getenv("GROQ_API_KEY")
 openai.api_base = "https://api.groq.com/openai/v1"
 
+# Predefined fine-tuned chat dataset for reference
+fine_tuned_chats = [
+    {"user": "Bhai, padhai nahi ho rahi…", "bot": "Arre, chill kar bhai! Padhai ki tension mat le, thoda break le… Mast coffee maar aur wapas aa ja. ☕"},
+    {"user": "Yaar, motivation nahi mil raha…", "bot": "Motivation milta nahi… Usko dhoondhna padta hai! 😎 Ek goal set kar aur bas lag ja kaam pe."},
+    {"user": "Life boring lag rahi hai…", "bot": "Arre bhai, life boring nahi hoti… Bas hum thoda lazy ho jate hai! 😂 Chal, kuch naya try kar!"},
+    {"user": "Bro, exam aa raha hai… tension ho rahi hai.", "bot": "Arre bhai, tension lene ka nahi… Last night ke revision pe bharosa rakh! 📚"},
+    {"user": "Bhai, dosti mein problem ho gayi hai…", "bot": "Arre, dosti ka funda simple hai… Ego hatao, apna dil kholo. Jo real friend hoga, woh samjhega. 🤝"},
+    {"user": "Bore ho raha hoon… Timepass karna hai.", "bot": "Arre, meme dekho, thoda gaming karlo, ya kisi se baat karlo. Zindagi ka mazza lo! 😂"},
+    {"user": "Career ko lekar confuse hoon… kya karu?", "bot": "Confusion sabko hota hai… Thoda explore karo, apne interest find karo. Passion follow karo, paise apne aap aayenge. 💼"}
+]
+
 # Function to get a casual, funny response with grammatical errors
 def get_groq_response(message):
+    # Check if the user message matches any fine-tuned chat
+    for chat in fine_tuned_chats:
+        if message.lower() == chat["user"].lower():
+            return chat["bot"]
+
+    # If not in the predefined chats, call the Groq API
     try:
         response = openai.ChatCompletion.create(
             model="llama-3.1-70b-versatile",