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.env

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+api_key=""

app.py

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+import streamlit as st
+import openai
+import os
+from dotenv import load_dotenv
+
+# Load API key from .env file
+load_dotenv()
+api_key = os.getenv("api_key")
+
+# Initialize OpenAI client
+client = openai.Client(api_key=api_key)
+
+def assistant_chatbot(user_query):
+    thread = client.beta.threads.create()
+
+    message = client.beta.threads.messages.create(
+        thread_id=thread.id,
+        role="user",
+        content=user_query,
+    )
+
+    run = client.beta.threads.runs.create(
+        thread_id=thread.id,
+        assistant_id="asst_6o7w7E8I6m0cVfM3zFzePcb9",  # Replace with your assistant ID
+        instructions="Provide information related to health queries. Remember, this is not medical advice. For serious health concerns, consult a healthcare professional.",
+    )
+
+    # Wait for the run to complete
+    while not run.completed_at:
+        # Streamlit does not have a direct equivalent to time.sleep(), so we poll the run status
+        run = client.beta.threads.runs.retrieve(thread_id=thread.id, run_id=run.id)
+
+    messages = client.beta.threads.messages.list(thread_id=thread.id)
+    last_message = messages.data[0]
+    response = last_message.content[0].text.value
+    return response
+
+# Streamlit app layout
+st.title("Health Assistant Chatbot")
+
+user_query = st.text_input("Enter your health query:")
+
+if st.button("Submit"):
+    if user_query:
+        response = assistant_chatbot(user_query)
+        st.write(response)
+    else:
+        st.write("Please enter a query.")