Update app.py

app.py

@@ -3,12 +3,11 @@ import openai
 import gradio as gr
 import os
 
-# Use Hugging Face secrets (you'll set this on HF later)
-openai.api_key = os.environ.get("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")
-
- 
+# ✅ Use the environment variable correctly
+openai.api_key = os.environ.get("OPENAI_API_KEY")
 openai.api_base = "https://api.groq.com/openai/v1"
 
+# Tutor chatbot function
 def tutor_chatbot(subject, question, chat_history=[]):
     try:
         messages = [
@@ -17,7 +16,7 @@ def tutor_chatbot(subject, question, chat_history=[]):
         ]
 
         response = openai.ChatCompletion.create(
-            model="llama3-8b-8192",  # or gemma-7b-it
+            model="llama3-8b-8192",  # Or "gemma-7b-it"
             messages=messages,
             temperature=0.5,
             max_tokens=800,
@@ -28,13 +27,16 @@ def tutor_chatbot(subject, question, chat_history=[]):
     except Exception as e:
         return chat_history + [("Error", str(e))]
 
+# List of available subjects
 subjects = ["Math", "Physics", "Biology", "CSS Exam", "Computer Science", "History"]
 
+# Gradio UI
 with gr.Blocks() as demo:
     gr.Markdown("## 📚 AI Educational Tutor Chatbot (Groq API)")
+    
     subject = gr.Dropdown(choices=subjects, label="Choose Subject")
     chatbot = gr.Chatbot()
-    question = gr.Textbox(label="Your Question")
+    question = gr.Textbox(label="Ask your question:")
     state = gr.State([])
 
     submit_btn = gr.Button("Get Answer")