Upload app.py

app.py

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+import os
+from openai import OpenAI
+import gradio as gr
+
+# Retrieve API key from environment variable
+api_key = os.environ.get('sk-proj-EDY3jlWEqNq4xkGk0inbT3BlbkFJKbN26l1g02vd16B11Ksb')
+
+client = OpenAI(api_key=api_key)
+
+def predict(message, history):
+    history_openai_format = []
+    for human, assistant in history:
+        history_openai_format.append({"role": "user", "content": human })
+        history_openai_format.append({"role": "assistant", "content":assistant})
+    history_openai_format.append({"role": "user", "content": message})
+  
+    response = client.chat.completions.create(model='gpt-3.5-turbo',
+    messages= history_openai_format,
+    temperature=1.0,
+    stream=True)
+
+    partial_message = ""
+    for chunk in response:
+        if chunk.choices[0].delta.content is not None:
+              partial_message = partial_message + chunk.choices[0].delta.content
+              yield partial_message
+
+gr.ChatInterface(predict).launch()