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import os | |
import requests | |
import streamlit as st | |
from googletrans import Translator | |
import asyncio | |
# Ensure you have the correct API URL for Groq and the key is set | |
GROQ_API_URL = "https://api.groq.com/v1/completions" # Replace with the actual endpoint if different | |
API_KEY = os.environ.get("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") | |
if not API_KEY: | |
raise ValueError("API key is missing. Make sure to set the GROQ_API_KEY environment variable.") | |
# Function to get recommendations from Groq API based on user input | |
def get_opportunities(user_query): | |
headers = { | |
"Authorization": f"Bearer {API_KEY}", | |
"Content-Type": "application/json" | |
} | |
payload = { | |
"model": "llama-3.3-70b-versatile", # Example model, replace with the actual model you want | |
"messages": [{"role": "user", "content": user_query}], | |
} | |
# Send the request to the Groq API | |
response = requests.post(GROQ_API_URL, json=payload, headers=headers) | |
if response.status_code == 200: | |
return response.json() # Adjust as per Groq's response format | |
else: | |
raise ValueError(f"Error fetching data from Groq API: {response.status_code}, {response.text}") | |
# 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 | |
# 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("Ask the AI Chatbot for Opportunities") | |
# Language selection | |
languages = { | |
"English": "English", | |
"Spanish": "Spanish", | |
"French": "French", | |
"German": "German", | |
"Italian": "Italian", | |
"Chinese": "Chinese", | |
"Japanese": "Japanese", | |
"Urdu": "Urdu" | |
} | |
selected_language = st.sidebar.selectbox("Select your preferred language:", list(languages.keys())) | |
# Chat history | |
if "messages" not in st.session_state: | |
st.session_state.messages = [] | |
# Display chat history | |
for message in st.session_state.messages: | |
if message["role"] == "user": | |
st.markdown(f"**You:** {message['content']}") | |
else: | |
st.markdown(f"**AI:** {message['content']}") | |
# Input box for user query | |
user_query = st.text_input("Ask me about scholarships, internships, or online courses:") | |
# Button to send message to chatbot | |
if st.button("Send"): | |
if user_query: | |
# Append user query to chat history | |
st.session_state.messages.append({"role": "user", "content": user_query}) | |
with st.spinner("Fetching opportunities..."): | |
try: | |
# Get the opportunity details based on user query | |
opportunities_response = get_opportunities(user_query) | |
# Extract the response content, modify based on actual response format | |
opportunities_text = opportunities_response.get("choices", [{}])[0].get("message", {}).get("content", "No data found.") | |
# Run the async translate function and get the translated text | |
translated_opportunities = asyncio.run(translate_text(opportunities_text, languages[selected_language])) | |
# Append AI response to chat history | |
st.session_state.messages.append({"role": "ai", "content": translated_opportunities}) | |
except Exception as e: | |
st.error(f"Error: {e}") | |
# Scroll to the latest message | |
st.experimental_rerun() | |
else: | |
st.error("Please enter a query.") | |
# 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) | |