Create app.py

app.py

@@ -0,0 +1,48 @@
+# import os            
+# import openai            
+# openai.api_type = "azure"            
+# openai.api_base = "https://fevaworksopenai.openai.azure.com/"            
+# openai.api_version = "2023-03-15-preview"            
+# openai.api_key = os.getenv("OPENAI_API_KEY")            
+#              
+# response = openai.ChatCompletion.create(            
+#   engine="gpt-35-turbo",            
+#   messages = [{"role":"system","content":"You are an AI assistant that helps people find information."},{"role":"user","content":"<input>"            
+#   max_tokens=800,            
+#   top_p=0.95,            
+#   frequency_penalty=0,            
+#   presence_penalty=0,            
+#   stop=None)            
+# &nbsp;            
+# above is an openai chat API call, create a streamlit app with a chat interface that takes user input that enter button to send request and reply with openai API response
+
+import os  
+import openai  
+import streamlit as st  
+  
+# Set up OpenAI API  
+openai.api_type = "azure"  
+openai.api_base = "https://fevaworksopenai.openai.azure.com/"  
+openai.api_version = "2023-03-15-preview"  
+openai.api_key = os.getenv("OPENAI_API_KEY")  
+  
+# Streamlit app  
+st.title("AI Chatbot")  
+st.write("Ask your question and get a response from the AI.")  
+  
+user_input = st.text_input("Your question:")  
+if st.button("Send"):  
+    if user_input:  
+        response = openai.ChatCompletion.create(  
+            engine="gpt-35-turbo",  
+            messages=[{"role": "system", "content": "You are an AI assistant that helps people find information."},  
+                      {"role": "user", "content": user_input}],  
+            max_tokens=800,  
+            top_p=0.95,  
+            frequency_penalty=0,  
+            presence_penalty=0,  
+            stop=None)  
+  
+        st.write("AI response:", response.choices[0].message["content"])  
+    else:  
+        st.write("Please enter a question.")