Update app.py

app.py

@@ -1,42 +1,8 @@
 import gradio as gr
-import ollama
 
-def format_history(msg: str, history: list[list[str, str]], system_prompt: str):
-    chat_history = [{"role": "system", "content":system_prompt}]
-    for query, response in history:
-        chat_history.append({"role": "user", "content": query})
-        chat_history.append({"role": "assistant", "content": response})  
-    chat_history.append({"role": "user", "content": msg})
-    return chat_history
+def greet(name):
+    return "Hello " + name + "!"
 
-def generate_response(msg: str, history: list[list[str, str]], system_prompt: str):
-    chat_history = format_history(msg, history, system_prompt)
-    response = ollama.chat(model='llama2', stream=True, messages=chat_history)
-    message = ""
-    for partial_resp in response:
-        token = partial_resp["message"]["content"]
-        message += token
-        yield message
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 
-chatbot = gr.ChatInterface(
-                generate_response,
-                chatbot=gr.Chatbot(
-                        avatar_images=["cx.jpg", "agent.jpg"],
-                        height="64vh"
-                    ),
-                additional_inputs=[
-                    gr.Textbox(
-                        "Behave as if you are order placer agent.",
-                        label="System Prompt"
-                    )
-                ],
-                title="Door Treats",
-                description="Please ask any questions you may have about your order.🤔",
-                theme="soft",
-                submit_btn="⬅ Send",
-                retry_btn="🔄 Regenerate Response",
-                undo_btn="↩ Delete Previous",
-                clear_btn="🗑️ Clear Chat"
-)
-
-chatbot.launch()
+demo.launch()