Create app.py

app.py

@@ -0,0 +1,48 @@
+import os
+import streamlit as st
+from groq import Groq
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+api_key = os.getenv("GROQ_API_KEY")
+
+# Ensure API key is available
+if not api_key:
+    st.error("API key not found. Please set GROQ_API_KEY in the .env file.")
+    st.stop()
+
+# Initialize Groq client
+client = Groq(api_key=api_key)
+
+# Function to get chatbot response
+def get_chat_response(query):
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": query}],
+        model="llama-3.3-70b-versatile",
+    )
+    return chat_completion.choices[0].message.content
+
+# Streamlit app interface
+def main():
+    st.title("Engineering Assistant Chatbot")
+    st.write("Ask any engineering-related questions, and I will provide solutions.")
+
+    user_input = st.text_input("Enter your engineering-related question:")
+
+    if user_input:
+        engineering_keywords = [
+            "mechanical", "electrical", "civil", "software", "chemical", "structural", 
+            "thermodynamics", "fluid mechanics", "circuit", "power", "robotics", "AI", 
+            "automation", "material science", "manufacturing", "electronics", "coding", 
+            "design", "engineering problem", "mathematics", "physics", "statics", "dynamics"
+        ]
+        
+        if any(keyword in user_input.lower() for keyword in engineering_keywords):
+            response = get_chat_response(user_input)
+            st.write("Chatbot Response:", response)
+        else:
+            st.write("Sorry, I only answer engineering-related questions.")
+
+if __name__ == "__main__":
+    main()