Update app.py

app.py

@@ -1,5 +1,3 @@
-# app.py
-
 import os
 import gradio as gr
 from langchain.text_splitter import RecursiveCharacterTextSplitter
@@ -15,11 +13,11 @@ import numpy as np
 from sklearn.feature_extraction.text import TfidfVectorizer
 from dotenv import load_dotenv
 
-# ----------------- Logger Configuration ------------------
+#  Logger Configuration 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# ----------------- Simple TF-IDF Fallback Embeddings ------------------
+#  Simple TF-IDF Fallback Embeddings
 class SimpleEmbeddings:
     def __init__(self):
         self.vectorizer = TfidfVectorizer(max_features=384, stop_words='english')
@@ -36,7 +34,7 @@ class SimpleEmbeddings:
             return [0.0] * 384
         return self.vectorizer.transform([text]).toarray()[0].tolist()
 
-# ----------------- RAG Assistant Class ------------------
+# RAG Assistant Class 
 class RAGAssistant:
     def __init__(self, groq_api_key: str):
         self.groq_api_key = groq_api_key
@@ -191,7 +189,7 @@ class RAGAssistant:
             logger.error(f"Error in code helper: {str(e)}")
             return f"Error generating response: {str(e)}"
 
-# ----------------- Gradio UI Interface ------------------
+# Gradio UI Interface 
 def create_gradio_interface(assistant: RAGAssistant):
     def upload_learning_files(files):
         if not files:
@@ -220,11 +218,11 @@ def create_gradio_interface(assistant: RAGAssistant):
         return history, ""
 
     with gr.Blocks(title="RAG-Based Learning & Code Assistant", theme=gr.themes.Soft()) as demo:
-        gr.Markdown("# 🎓 RAG-Based Learning & Code Assistant")
+        gr.Markdown("# RAG-Based Learning & Code Assistant")
         gr.Markdown("Upload documents and get smart, personalized answers.")
 
         with gr.Tabs():
-            with gr.TabItem("📚 Learning Tutor"):
+            with gr.TabItem(" Learning Tutor"):
                 gr.Markdown("### Upload lecture notes or textbooks below:")
                 with gr.Row():
                     with gr.Column(scale=1):
@@ -240,7 +238,7 @@ def create_gradio_interface(assistant: RAGAssistant):
                 learning_submit.click(learning_chat, inputs=[learning_input, learning_chatbot], outputs=[learning_chatbot, learning_input])
                 learning_input.submit(learning_chat, inputs=[learning_input, learning_chatbot], outputs=[learning_chatbot, learning_input])
 
-            with gr.TabItem("💻 Code Documentation Helper"):
+            with gr.TabItem("Code Documentation Helper"):
                 gr.Markdown("### Upload code docs or API guides below:")
                 with gr.Row():
                     with gr.Column(scale=1):
@@ -257,11 +255,11 @@ def create_gradio_interface(assistant: RAGAssistant):
                 code_input.submit(code_chat, inputs=[code_input, code_chatbot], outputs=[code_chatbot, code_input])
 
         gr.Markdown("---")
-        gr.Markdown("Built with ❤️ using LangChain, ChromaDB, and Groq API")
+        gr.Markdown("Built with  using LangChain, ChromaDB, and Groq API")
 
     return demo
 
-# ----------------- Main Function ------------------
+# Main Function
 def main():
     load_dotenv()
     groq_api_key = os.getenv("GROQ_API_KEY")