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app.py
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import os
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import streamlit as st
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from groq import Groq
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from googletrans import Translator
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import asyncio
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# Function to get recommendations from Groq AI based on user input
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def get_opportunities(user_query):
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# Fetch the API key from the environment variable
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api_key = "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"
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if not api_key:
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raise ValueError("API key is missing. Make sure to set the GROQ_API_KEY environment variable.")
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# Initialize the Groq client with the API key
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client = Groq(api_key=api_key)
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# Construct the query
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query = f"Based on the user's query '{user_query}', find scholarships, internships, online courses, and career advice suitable for them, including deadlines for application and links to apply."
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# Request to Groq API
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response = client.chat.completions.create(
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messages=[{"role": "user", "content": query}],
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model="llama-3.3-70b-versatile",
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)
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return response.choices[0].message.content
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# Function to translate text into the selected language (async version)
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async def translate_text(text, target_language):
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translator = Translator()
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translated = await translator.translate(text, dest=target_language)
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return translated.text
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# Streamlit App Interface
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st.set_page_config(page_title="AI-Powered Opportunity Finder", page_icon=":bulb:", layout="wide")
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st.title("AI-Powered Opportunity Finder for Youth")
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# Custom CSS for improving the UI
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st.markdown("""
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<style>
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.css-1v0mbdj {padding-top: 30px; font-size: 1.5rem;}
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.css-1wa3m6h {padding: 10px; background-color: #f0f0f5;}
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.css-1w4t6pm {border: 1px solid #ccc; padding: 10px; background-color: #fff;}
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.css-1f4y1re {font-size: 1.2rem;}
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</style>
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""", unsafe_allow_html=True)
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# Sidebar for input fields
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st.sidebar.header("Ask the AI Chatbot for Opportunities")
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# Language selection
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languages = {
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"English": "English",
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"Spanish": "Spanish",
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"French": "French",
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"German": "German",
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"Italian": "Italian",
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"Chinese": "Chinese",
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"Japanese": "Japanese",
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"Urdu": "Urdu"
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}
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selected_language = st.sidebar.selectbox("Select your preferred language:", list(languages.keys()))
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# Chat history
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display chat history
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for message in st.session_state.messages:
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if message["role"] == "user":
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st.markdown(f"**You:** {message['content']}")
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else:
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st.markdown(f"**AI:** {message['content']}")
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# Input box for user query
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user_query = st.text_input("Ask me about scholarships, internships, or online courses:")
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# Button to send message to chatbot
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if st.button("Send"):
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if user_query:
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# Append user query to chat history
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st.session_state.messages.append({"role": "user", "content": user_query})
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with st.spinner("Fetching opportunities..."):
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# Get the opportunity details based on user query
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opportunities = get_opportunities(user_query)
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# Run the async translate function and get the translated text
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translated_opportunities = asyncio.run(translate_text(opportunities, languages[selected_language]))
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# Append AI response to chat history
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st.session_state.messages.append({"role": "ai", "content": translated_opportunities})
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# Scroll to the latest message
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st.experimental_rerun()
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else:
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st.error("Please enter a query.")
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# Add a footer with contact info and clickable links
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st.markdown("""
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<footer style="text-align:center; padding: 20px; font-size: 1rem; background-color: #f0f0f5;">
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<p>Powered by Groq, Google Translate, and Streamlit</p>
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<p>For more opportunities, visit:</p>
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<ul style="list-style-type:none; padding: 0;">
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<li><a href="https://www.groq.com" target="_blank">Groq - AI Solutions</a></li>
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<li><a href="https://www.scholarships.com" target="_blank">Scholarships.com</a></li>
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<li><a href="https://www.coursera.org" target="_blank">Coursera - Online Courses</a></li>
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<li><a href="https://www.linkedin.com/jobs" target="_blank">LinkedIn Jobs</a></li>
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</ul>
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<p>Contact: [email protected]</p>
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</footer>
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""", unsafe_allow_html=True)
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