Update app.py

app.py

@@ -1,80 +1,69 @@
 import os
 import streamlit as st
-from deep_translator import GoogleTranslator
-from groq import Client  # Assuming correct Groq API client import
+from groq import Groq
 
-# Ensure the API key is set
-API_KEY = os.environ.get("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")
+# Initialize Groq client
+API_KEY = os.getenv("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")  # Ensure GROQ_API_KEY is set in your environment variables
 if not API_KEY:
     st.error("API key is missing. Please set the GROQ_API_KEY environment variable.")
     st.stop()
 
-# Initialize the Groq client
-client = Client(api_key=API_KEY)
+client = Groq(api_key=API_KEY)
 
-# Streamlit App
-st.set_page_config(page_title="AI-Powered Opportunity Finder", layout="wide")
-st.title("AI-Powered Opportunity Finder for Youth")
+# Streamlit app configuration
+st.set_page_config(page_title="AI Chatbot", page_icon="🤖", layout="wide")
+st.title("AI-Powered Chatbot with Groq")
 
-# Sidebar for inputs
-st.sidebar.header("Provide your details to find opportunities")
-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):")
+# Sidebar for user input
+st.sidebar.header("Chatbot Settings")
+chat_model = st.sidebar.selectbox("Select AI Model", ["llama-3.3-70b-versatile", "llama-2.0-50b-creative"])
 
-# Language selection for translation
-languages = {
-    "English": "en",
-    "Spanish": "es",
-    "French": "fr",
-    "German": "de",
-    "Italian": "it",
-    "Chinese": "zh-cn",
-    "Japanese": "ja",
-    "Urdu": "ur",
-}
-selected_language = st.sidebar.selectbox("Select your preferred language:", list(languages.keys()))
+# Chat interface
+st.write("## Chat with AI")
+if "messages" not in st.session_state:
+    st.session_state.messages = []
 
-# Main functionality
-def fetch_opportunities(user_interests, user_skills, user_location):
-    query = (
-        f"Based on the user's interests in {user_interests}, skills in {user_skills}, "
-        f"and location of {user_location}, find scholarships, internships, online courses, and career advice."
-    )
-    try:
-        response = client.chat.completions.create(
-            messages=[{"role": "user", "content": query}],
-            model="llama-3.3-70b-versatile",
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        st.error(f"Error fetching opportunities: {e}")
-        return None
+# Display conversation history
+for msg in st.session_state.messages:
+    if msg["role"] == "user":
+        st.write(f"**You:** {msg['content']}")
+    else:
+        st.write(f"**AI:** {msg['content']}")
+
+# User input for the chatbot
+user_input = st.text_input("Enter your message:", key="user_input")
 
-def translate_text(text, target_language):
-    try:
-        translator = GoogleTranslator(target=target_language)
-        return translator.translate(text)
-    except Exception as e:
-        st.error(f"Error translating text: {e}")
-        return text
+# On submit, process the input
+if st.button("Send"):
+    if user_input:
+        # Add user input to the chat history
+        st.session_state.messages.append({"role": "user", "content": user_input})
+        
+        # Call Groq API
+        with st.spinner("Thinking..."):
+            try:
+                chat_completion = client.chat.completions.create(
+                    messages=st.session_state.messages,
+                    model=chat_model,
+                )
+                ai_response = chat_completion.choices[0].message.content
 
-# Button to fetch opportunities
-if st.sidebar.button("Find Opportunities"):
-    if interests and skills and location:
-        with st.spinner("Fetching opportunities..."):
-            opportunities = fetch_opportunities(interests, skills, location)
-            if opportunities:
-                translated_opportunities = translate_text(opportunities, languages[selected_language])
-                st.subheader("Recommended Opportunities")
-                st.write(translated_opportunities)
+                # Add AI response to the chat history
+                st.session_state.messages.append({"role": "assistant", "content": ai_response})
+
+                # Display the AI's response
+                st.write(f"**AI:** {ai_response}")
+            except Exception as e:
+                st.error(f"Error: {e}")
     else:
-        st.sidebar.error("Please fill in all fields.")
+        st.warning("Please enter a message before sending.")
+
+# Clear conversation button
+if st.button("Clear Conversation"):
+    st.session_state.messages = []
 
 # Footer
 st.markdown("""
-    <footer style="text-align:center; padding: 20px; font-size: 1rem; background-color: #f0f0f5;">
-        <p>Powered by Groq, Google Translator, and Streamlit</p>
-        <p>Contact: [email protected]</p>
-    </footer>
-""", unsafe_allow_html=True)
+    ---
+    Powered by [Groq](https://groq.com) | Deployed on [Hugging Face Spaces](https://huggingface.co/spaces)
+""")