Create Z3ta.py

Z3ta.py

@@ -0,0 +1,43 @@
+import gradio as gr
+from gradio_client import Client
+
+client = Client("TejAndrewsACC/Z3ta")
+
+context = ""
+
+system_instructions = (
+    "None"
+)
+
+def chat_function(message, history):
+    global context
+
+    modified_input = (
+        f"System Instructions: {system_instructions}\n"
+        f"Previous Context: {context}\n"
+        f"User Input: {message}"
+    )
+
+    try:
+        response = client.predict(
+            message=modified_input,
+            api_name="/chat_function"
+        )
+
+        context += f"User: {message}\nAI: {response}\n"
+
+        history.append((message, response))
+
+        return response, history
+
+    except Exception as e:
+        return f"Error: {e}", history
+
+with gr.Blocks(theme=gr.themes.Glass()) as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(placeholder="Type something...")
+    clear = gr.ClearButton([msg, chatbot])
+
+    msg.submit(chat_function, [msg, chatbot], [msg, chatbot])
+
+demo.launch()