Update app.py

app.py

@@ -1,17 +1,16 @@
 import streamlit as st
 import os
-import openai
+import requests
 from dotenv import load_dotenv
 
-# Load API key from .env file
+# Load API key
 load_dotenv()
-openai.api_key = os.getenv("GROQ_API_KEY")
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 
 st.set_page_config(page_title="EduGuide Chatbot", page_icon="🎓")
 st.title("🎓 EduGuide Chatbot")
 st.write("Ask me anything related to education. For other queries, I will politely decline.")
 
-# Define keywords to identify education-related queries
 def is_education_related(prompt):
     education_keywords = [
         "education", "university", "college", "admission", "exam", "study", "learning", "subject",
@@ -19,24 +18,33 @@ def is_education_related(prompt):
     ]
     return any(word in prompt.lower() for word in education_keywords)
 
-# Query the LLaMA model via Groq
 def ask_llama(prompt):
-    response = openai.ChatCompletion.create(
-        model="llama3-70b-8192",
-        messages=[
+    url = "https://api.groq.com/openai/v1/chat/completions"
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    data = {
+        "model": "llama3-70b-8192",
+        "messages": [
             {"role": "system", "content": "You are an education assistant. Only answer education-related questions."},
             {"role": "user", "content": prompt}
-        ]
-    )
-    return response['choices'][0]['message']['content']
+        ],
+        "temperature": 0.7
+    }
+    response = requests.post(url, headers=headers, json=data)
+    result = response.json()
+    return result["choices"][0]["message"]["content"]
 
-# Streamlit input/output
 user_input = st.text_input("💬 Ask your question:")
 if st.button("Ask"):
     if user_input:
         if is_education_related(user_input):
             with st.spinner("Thinking..."):
-                answer = ask_llama(user_input)
-            st.success(answer)
+                try:
+                    answer = ask_llama(user_input)
+                    st.success(answer)
+                except Exception as e:
+                    st.error(f"❌ Error: {e}")
         else:
             st.warning("Sorry, I do not have knowledge of it.")