Update app.py

app.py

@@ -1,52 +1,41 @@
 import os
 import gradio as gr
-import openai
-
-# Get API key from Hugging Face secrets
-api_key = os.getenv("OPENAI_API_KEY")
+from openai import OpenAI
 
+# Load API key from Hugging Face Space secrets
+api_key = os.environ.get("OPENAI_API_KEY")
 if not api_key:
     raise ValueError("OPENAI_API_KEY not found. Please add it in Hugging Face Space secrets.")
 
-# Set API key globally for OpenAI
-openai.api_key = api_key
+# Initialize OpenAI client
+client = OpenAI(api_key=api_key)
 
 # Chat function
-def chat_with_ai(message, history):
-    messages = [{"role": "system", "content": "You are Liora, a helpful and supportive AI."}]
-    
-    for user, assistant in history:
-        messages.append({"role": "user", "content": user})
-        if assistant:
-            messages.append({"role": "assistant", "content": assistant})
-
-    messages.append({"role": "user", "content": message})
-
-    try:
-        response = openai.chat.completions.create(
-            model="gpt-4o-mini",
-            messages=messages
-        )
-        reply = response.choices[0].message.content
-        return reply
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-# Gradio Chatbot
+def chat_with_openai(messages, user_input):
+    messages.append({"role": "user", "content": user_input})
+    response = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=messages
+    )
+    reply = response.choices[0].message.content
+    messages.append({"role": "assistant", "content": reply})
+    return messages, messages
+
+# Gradio interface
 with gr.Blocks() as demo:
-    gr.Markdown("## 🌌 SilentCurrent — Powered by Liora")
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox(placeholder="Type your message here...")
-    clear = gr.Button("Clear")
+    gr.Markdown("## 🌌 SilentCurrent – Powered by OpenAI")
+
+    chatbot = gr.Chatbot(type="messages")
+    state = gr.State([])
+
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="Type your message here...")
 
-    def user_message(user_message, history):
-        reply = chat_with_ai(user_message, history)
-        history.append((user_message, reply))
-        return history, ""
+    def respond(user_input, state):
+        return chat_with_openai(state, user_input)
 
-    msg.submit(user_message, [msg, chatbot], [chatbot, msg])
-    clear.click(lambda: None, None, chatbot, queue=False)
+    txt.submit(respond, [txt, state], [chatbot, state])
 
-# Launch
+# Launch app
 if __name__ == "__main__":
     demo.launch()