Update app.py

app.py

@@ -1,4 +1,4 @@
-import os
+"import os
 from groq import Groq
 import streamlit as st
 from dotenv import load_dotenv
@@ -24,18 +24,15 @@ developer_topics = [
 
 # Function to fetch chatbot completion from Groq API
 def get_response(query):
-    try:
-        completion = client.chat.completions.create(
-            model="llama-3.3-70b-versatile",
-            messages=[{"role": "user", "content": query}],
-            temperature=0.7,
-            max_completion_tokens=2024,
-            top_p=1,
-        )
-        response = completion.choices[0].message.content
-        return response
-    except Exception as e:
-        return f"Error: {str(e)}"
+    completion = client.chat.completions.create(
+        model="llama-3.3-70b-versatile",
+        messages=[{"role": "user", "content": query}],
+        temperature=0.7,
+        max_completion_tokens=2024,
+        top_p=1,
+    )
+    response = completion.choices[0].message.content
+    return response
 
 def main():
     st.title("Programming Developer Advisor Chatbot")
@@ -44,24 +41,17 @@ def main():
     topic = st.selectbox("Choose a programming topic", developer_topics)
     user_input = st.text_area("Or ask a programming-related question:", "")
 
-    # Add a submit button to trigger the response
-    submit_button = st.button("Submit")
+    # If the user provides a query (not from audio), use that directly
+    if user_input:
+        query = user_input
+        response = get_response(query)
+        st.write("### Response:")
+        st.write(response)
 
-    # If the user clicks the submit button, process the query
-    if submit_button:
-        if user_input:
-            query = user_input
-            # Check if the user input is related to a programming topic
-            if any(topic.lower() in user_input.lower() for topic in developer_topics):
-                response = get_response(query)
-                st.write("### Response:")
-                # Display the response with proper formatting, and if it is long, we can show it in a scrollable container
-                st.markdown(f"#### Query: {query}")
-                st.text_area("Response:", response, height=300)
-            else:
-                st.write("Sorry, I can only answer programming-related questions.")
-        else:
-            st.write("Please enter a programming-related question or choose a topic.")
+    # Handle unrelated queries
+    if user_input and not any(topic in user_input.lower() for topic in developer_topics):
+        st.write("Sorry, I can only answer programming-related questions.")
 
 if __name__ == "__main__":
     main()
+"  add submit button and if the question is out of the relate the massges print other wise the output show the answer