Update app.py

app.py

@@ -1,4 +1,4 @@
-# app.py
+
 import gradio as gr
 import os
 from langchain_community.vectorstores import FAISS
@@ -9,42 +9,42 @@ from langchain.schema.output_parser import StrOutputParser
 from langchain.memory import ConversationBufferMemory
 from typing import List, Tuple
 import re
-# Environment variables for API keys
+
 TOGETHER_API_KEY = os.getenv('TOGETHER_API_KEY')
 
 class ChatBot:
     def __init__(self):
-        # Initialize embeddings
+        
         self.embeddings = TogetherEmbeddings(
             model="togethercomputer/m2-bert-80M-32k-retrieval",
             together_api_key=TOGETHER_API_KEY
         )
         
-        # Load the pre-created FAISS index with embeddings
+        
         self.vectorstore = FAISS.load_local(
             ".",
             embeddings=self.embeddings,
-            allow_dangerous_deserialization=True  # Only enable this if you trust the source of the index
+            allow_dangerous_deserialization=True  
         )
         self.retriever = self.vectorstore.as_retriever()
         
-        # Initialize the model
+        
         self.model = Together(
             model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
-            temperature=0.4,
+            temperature=0.2,
             max_tokens=128,
             top_k=30,
             together_api_key=TOGETHER_API_KEY
         )
         
-        # Initialize memory
+        
         self.memory = ConversationBufferMemory(
             return_messages=True,
             memory_key="chat_history",
             output_key="answer"
         )
         
-        # Create the prompt template
+        
         self.template = """Quyidagi kontekst va suhbat tarixiga asoslanib, savolga faqat matn ko'rinishida, kod yoki ortiqcha belgilarsiz, faqat o'zbek tilida tabiiy tarzda javob bering:
 Kontekst: {context}
 Suhbat Tarixi: {chat_history}
@@ -54,7 +54,7 @@ Javobni faqat matn shaklida bering, kod yoki ortiqcha belgilar kiritmang."""
         
         self.prompt = ChatPromptTemplate.from_template(self.template)
         
-        # Create the chain
+        
         self.chain = (
             {
                 "context": self.retriever,
@@ -79,7 +79,7 @@ Javobni faqat matn shaklida bering, kod yoki ortiqcha belgilar kiritmang."""
         for tag in unwanted_tags:
             response = response.replace(tag, "")
         
-        # Python kod snippetlarini olib tashlash
+        
         response = re.sub(r"```.*?```", "", response, flags=re.DOTALL)
         response = re.sub(r"print\(.*?\)", "", response)
     
@@ -93,7 +93,7 @@ Javobni faqat matn shaklida bering, kod yoki ortiqcha belgilar kiritmang."""
             response = self.chain.invoke(message)
             clean_response = self.process_response(response)
             
-            # Agar javob to'liq bo'lmasa yoki noto'g'ri bo'lsa, qayta urinib ko'rish
+            
             if not clean_response or len(clean_response.split()) < 3:
                 clean_response = "Kechirasiz, savolingizni tushunolmadim. Iltimos, batafsilroq savol bering."
             
@@ -107,7 +107,7 @@ Javobni faqat matn shaklida bering, kod yoki ortiqcha belgilar kiritmang."""
         self.memory.clear()
         return []
 
-# Create the Gradio interface
+
 def create_demo() -> gr.Interface:
     chatbot = ChatBot()
     
@@ -131,7 +131,7 @@ def create_demo() -> gr.Interface:
         clear = gr.Button("Yangi suhbat")
         
         def respond(message, chat_history):
-            # Foydalanuvchi xabarini tozalash
+            
             message = message.strip()
             if not message:
                 return "", chat_history