Update app.py

app.py

@@ -1,55 +1,27 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message")
-    ],
-)
-
+import openai
+import os
+
+# Set your OpenAI API key
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def chatbot(prompt):
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "system", "content": "You are a helpful assistant."},
+                      {"role": "user", "content": prompt}]
+        )
+        return response["choices"][0]["message"]["content"]
+    except Exception as e:
+        return str(e)
+
+# Create a Gradio interface
+iface = gr.Interface(fn=chatbot,
+                     inputs="text",
+                     outputs="text",
+                     title="AI Chatbot",
+                     description="Ask me anything!")
 
 if __name__ == "__main__":
-    demo.launch()
+    iface.launch()