Create app.py

app.py

@@ -0,0 +1,37 @@
+import os
+import streamlit as st
+from groq import Groq
+
+# Load the API key from the environment
+api_key = os.getenv("GROQ_API_KEY")
+client = Groq(api_key=api_key)
+
+# Function to call the Groq API and get the 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("Health Assistant Chatbot")
+
+    # Provide health-related options for users
+    st.write("Please ask a health-related question. The chatbot can answer questions about fever, flu, cough, malaria, and typhoid symptoms.")
+
+    # Input from the user
+    user_input = st.text_input("Ask a health-related question:")
+
+    if user_input:
+        # Check if the question is health-related
+        health_keywords = ["fever", "flu", "cough", "malaria", "typhoid"]
+        if any(keyword in user_input.lower() for keyword in health_keywords):
+            response = get_chat_response(user_input)
+            st.write("Chatbot Response:", response)
+        else:
+            st.write("Sorry, I do not have knowledge of this topic. Please ask only health-related questions.")
+
+if __name__ == "__main__":
+    main()