Create new.py

new.py

@@ -0,0 +1,32 @@
+import os
+
+import gradio as gr
+from openai import OpenAI
+
+OpenAI.api_key = os.getenv("OPENAI_API_KEY")
+api_key = os.getenv("OPENAI_API_KEY")
+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
+
+
+chat = gr.ChatInterface(predict, fill_height=True)