Update app.py

app.py

@@ -1,43 +1,134 @@
 import os
 import streamlit as st
-from groq import Groq  # Correct import for the Groq client
-
-# Ensure the correct API key is set in the environment
-api_key = "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"
-
-# Streamlit interface
-st.title("AI Chatbot with Groq")
-
-# User input for the chatbot
-user_input = st.text_input("Ask something:", "")
-
-# Scholarship search option
-search_scholarships = st.checkbox("Search for scholarships")
-
-# If user asked about scholarships
-if search_scholarships:
-    st.write("You can explore various scholarships for your education:")
-    st.write("1. **Merit-based Scholarships**: Awarded based on academic performance.")
-    st.write("2. **Need-based Scholarships**: For students who need financial assistance.")
-    st.write("3. **Athletic Scholarships**: Given to students excelling in sports.")
-    st.write("4. **Government Scholarships**: Offered by governments for local or international students.")
-    st.write("5. **Private Scholarships**: Funded by organizations or businesses.")
-
-# Process user input to interact with the Groq API
-if user_input and not search_scholarships:
-    try:
-        # Initialize Groq client with the API key
-        client = Groq(api_key=api_key)
-
-        # Create a chat completion request using the user's input
-        chat_completion = client.chat.completions.create(
-            messages=[{"role": "user", "content": user_input}],
-            model="llama-3.3-70b-versatile"
-        )
-
-        # Display the AI's response
-        st.write("AI's response: ")
-        st.write(chat_completion.choices[0].message.content)
-
-    except Exception as e:
-        st.error(f"Error: {e}")
+from groq import Groq
+from googletrans import Translator
+import asyncio
+
+# Function to get recommendations from Groq AI based on user input
+def get_opportunities(user_interests, user_skills, user_location):
+    # Fetch the API key from the environment variable
+    api_key = "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"
+    
+    if not api_key:
+        raise ValueError("API key is missing. Make sure to set the GROQ_API_KEY environment variable.")
+    
+    # Initialize the Groq client with the API key
+    client = Groq(api_key=api_key)
+    
+    # Construct the query
+    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
+    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 (async version)
+async def translate_text(text, target_language):
+    translator = Translator()
+    translated = await translator.translate(text, dest=target_language)
+    return translated.text
+
+# Function to get chatbot response
+def get_chatbot_response(user_message):
+    # Fetch the API key from the environment variable
+    api_key = "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"
+    
+    if not api_key:
+        raise ValueError("API key is missing. Make sure to set the GROQ_API_KEY environment variable.")
+    
+    # Initialize the Groq client with the API key
+    client = Groq(api_key=api_key)
+    
+    # Request to Groq API for chatbot response
+    response = client.chat.completions.create(
+        messages=[{"role": "user", "content": user_message}],
+        model="llama-3.3-70b-versatile",
+    )
+    
+    return response.choices[0].message.content
+
+# Streamlit App Interface
+st.set_page_config(page_title="AI-Powered Opportunity Finder", page_icon=":bulb:", layout="wide")
+st.title("AI-Powered Opportunity Finder for Youth")
+
+# Custom CSS for improving the UI
+st.markdown("""
+    <style>
+        .css-1v0mbdj {padding-top: 30px; font-size: 1.5rem;}
+        .css-1wa3m6h {padding: 10px; background-color: #f0f0f5;}
+        .css-1w4t6pm {border: 1px solid #ccc; padding: 10px; background-color: #fff;}
+        .css-1f4y1re {font-size: 1.2rem;}
+    </style>
+""", unsafe_allow_html=True)
+
+# Sidebar for input fields
+st.sidebar.header("Provide your details to find opportunities")
+
+# Collect user input for interests, skills, and location in the sidebar
+interests = st.sidebar.text_input("Your Interests (e.g., AI, Robotics, Software Engineering):")
+skills = st.sidebar.text_input("Your Skills (e.g., Python, Data Science, Web Development):")
+location = st.sidebar.text_input("Your Location (e.g., Gujrat, Pakistan):")
+
+# Language selection
+languages = {
+    "English": "English",
+    "Spanish": "Spanish",
+    "French": "French",
+    "German": "German",
+    "Italian": "Italian",
+    "Chinese": "Chinese",
+    "Japanese": "Japanese",
+    "Urdu": "Urdu"  # Full word for Urdu
+}
+
+selected_language = st.sidebar.selectbox("Select your preferred language:", list(languages.keys()))
+
+# Container to display results
+results_container = st.container()
+
+# Chatbot container
+chatbot_container = st.container()
+
+# Button to fetch opportunities
+if st.sidebar.button("Find Opportunities"):
+    if interests and skills and location:
+        with st.spinner("Fetching opportunities..."):
+            # Fetch recommendations using the Groq API
+            opportunities = get_opportunities(interests, skills, location)
+            
+            # Run the async translate function and get the translated text
+            translated_opportunities = asyncio.run(translate_text(opportunities, languages[selected_language]))
+        
+        # Display the opportunities
+        results_container.subheader("Recommended Opportunities")
+        results_container.write(translated_opportunities)
+    else:
+        st.sidebar.error("Please fill all fields.")
+
+# Chatbot functionality
+with chatbot_container:
+    st.subheader("AI Chatbot")
+    user_message = st.text_area("Ask anything to the chatbot:", "")
+    if user_message:
+        with st.spinner("Getting response from AI..."):
+            chatbot_response = get_chatbot_response(user_message)
+            st.write(f"**Chatbot Response**: {chatbot_response}")
+
+# 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: [email protected]</p>
+    </footer>
+""", unsafe_allow_html=True)