Update app.py

app.py

@@ -1,8 +1,7 @@
-import asyncio
+import os
 import streamlit as st
-from googletrans import Translator
 from groq import Groq
-import os
+from googletrans import Translator
 
 # Function to get recommendations from Groq AI based on user input
 def get_opportunities(user_interests, user_skills, user_location):
@@ -19,23 +18,12 @@ def get_opportunities(user_interests, user_skills, user_location):
     query = f"Based on the user's interests in {user_interests}, skills in {user_skills}, and location of {user_location}, find scholarships, internships, online courses, and career advice suitable for them."
     
     # Request to Groq API
-    try:
-        response = client.chat.completions.create(
-            messages=[{"role": "user", "content": query}],
-            model="llama-3.3-70b-versatile",
-        )
-        
-        # Debugging: Check the response
-        st.write(response)  # Display the raw response for debugging
-        
-        if response and hasattr(response, 'choices') and response.choices:
-            content = response.choices[0].message.content
-            return content
-        else:
-            return "Sorry, no opportunities found at the moment."
-    except Exception as e:
-        st.error(f"Error while fetching data: {e}")
-        return "Sorry, we encountered an issue fetching the data."
+    response = client.chat.completions.create(
+        messages=[{"role": "user", "content": query}],
+        model="llama-3.3-70b-versatile",
+    )
+    
+    return response.choices[0].message.content
 
 # Function to translate text into the selected language
 def translate_text(text, target_language):
@@ -66,7 +54,7 @@ skills = st.sidebar.text_input("Your Skills (e.g., Python, Data Science, Web Dev
 location = st.sidebar.text_input("Your Location (e.g., Gujrat, Pakistan):")
 
 # Language selection
-languages =  {
+languages = {
     "English": "English",
     "Spanish": "Spanish",
     "French": "French",
@@ -89,10 +77,6 @@ if st.sidebar.button("Find Opportunities"):
             # Fetch recommendations using the Groq API
             opportunities = get_opportunities(interests, skills, location)
             
-            # Display the raw opportunities for debugging
-            st.subheader("Raw Opportunities Data:")
-            st.write(opportunities)  # Display raw data
-            
             # Translate the opportunities based on the selected language
             translated_opportunities = translate_text(opportunities, languages[selected_language])
         
@@ -101,3 +85,18 @@ if st.sidebar.button("Find Opportunities"):
         results_container.write(translated_opportunities)
     else:
         st.sidebar.error("Please fill all fields.")
+
+# Add a footer with contact info and clickable links
+st.markdown("""
+    <footer style="text-align:center; padding: 20px; font-size: 1rem; background-color: #f0f0f5;">
+        <p>Powered by Groq, Google Translate, and Streamlit</p>
+        <p>For more opportunities, visit:</p>
+        <ul style="list-style-type:none; padding: 0;">
+            <li><a href="https://www.groq.com" target="_blank">Groq - AI Solutions</a></li>
+            <li><a href="https://www.scholarships.com" target="_blank">Scholarships.com</a></li>
+            <li><a href="https://www.coursera.org" target="_blank">Coursera - Online Courses</a></li>
+            <li><a href="https://www.linkedin.com/jobs" target="_blank">LinkedIn Jobs</a></li>
+        </ul>
+        <p>Contact: support@example.com</p>
+    </footer>
+""", unsafe_allow_html=True)