Create app.py

app.py

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+import os
+from groq import Groq
+from dotenv import load_dotenv
+import streamlit as st
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Get the API key from environment variable
+api_key = os.getenv("GROQ_API_KEY")
+
+# Initialize Groq client with the API key
+client = Groq(api_key=api_key)
+
+# Define your chatbot logic for student exam preparation assistant
+def chatbot():
+    st.title("Student Exam Preparation Assistant 🎓")
+    st.write("Welcome to your personal exam preparation assistant! Whether you're preparing for a high school exam, college exams, or any professional tests, I'm here to help. What would you like assistance with today?")
+
+    # Add an attractive header with an emoji
+    st.markdown("**Ask me anything about exam preparation!**")
+    st.markdown("I can help you with study tips, time management strategies, practice questions, and more. Let’s get started! 😄")
+
+    # Input field for the user to type a message
+    user_input = st.text_input("Type your exam preparation question here:")
+
+    # Add a submit button
+    if st.button("Submit"):
+        if user_input:
+            # Display user's input
+            st.write(f"You: {user_input}")
+
+            # Sending user's input to Groq API for completion
+            try:
+                completion = client.chat.completions.create(
+                    model="deepseek-r1-distill-llama-70b",  # You can change this model based on your preference
+                    messages=[{"role": "user", "content": user_input}],
+                    temperature=0.6,
+                    max_completion_tokens=4096,
+                    top_p=0.95,
+                    stream=True,
+                    stop=None,
+                )
+
+                # Collect the response chunk by chunk
+                response = ""
+                for chunk in completion:
+                    # Get the assistant's response from each chunk
+                    response += chunk.choices[0].delta.content or ""
+
+                # Display assistant's response
+                st.write(f"Assistant: {response}")
+            
+            except Exception as e:
+                st.write(f"Error occurred: {e}")
+        else:
+            st.write("Please type a question before submitting. 😊")
+
+# Run the chatbot with dynamic user input
+if __name__ == "__main__":
+    chatbot()