app.py

import os
import streamlit as st
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)