update to using built in secret management and update interface

app.py

@@ -1,35 +1,51 @@
-import gradio as gr
 import openai
 import os
+import gradio as gr
+from openai import OpenAI
 
-# Fetch your OpenAI API key from an environment variable
+# Ensure the OPENAI_API_KEY environment variable is set
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
 if openai.api_key is None:
-    raise ValueError("OPENAI_API_KEY environment variable not set.")
+    raise ValueError("Die Umgebungsvariable OPENAI_API_KEY ist nicht gesetzt.")
+
+client = OpenAI()
+
+def chat_with_gpt(user_input, system_message, temperature, history):
+    if not history:
+        # If starting a new conversation, add the system message first
+        history = [{"role": "system", "content": system_message}]
 
-def chat_with_gpt(system_message, user_message):
-    conversation = f"System: {system_message}\nUser: {user_message}"
-    response = openai.Completion.create(
+    # Append the latest user message
+    history.append({"role": "user", "content": user_input})
+    
+    # Get response from GPT-3.5 Turbo
+    response = client.chat.completions.create(
         model="gpt-3.5-turbo",
-        prompt=conversation,
-        temperature=0.5,
-        max_tokens=500,
-        frequency_penalty=0.0,
-        presence_penalty=0.0,
+        messages=history,
+        temperature=temperature
     )
-    return response.choices[0].text.strip()
-
-# Define the interface
-iface = gr.Interface(
-    fn=chat_with_gpt,
-    inputs=[
-        gr.inputs.Textbox(lines=2, placeholder="System Message Here..."),
-        gr.inputs.Textbox(lines=5, placeholder="Your Message Here..."),
-    ],
-    outputs="text",
-    title="Chat with GPT-3.5",
-    description="This Gradio app lets you chat with OpenAI's GPT-3.5 model. Enter a system message for initial context, and then chat as you would with a human.",
-    theme="default",  # or "huggingface" for Hugging Face theme
-    allow_flagging="never",
-).launch()
+    
+    # Append the assistant's response
+    assistant_message = response.choices[0].message['content']
+    history.append({"role": "assistant", "content": assistant_message})
+    
+    return history, history  # Return updated history for both display and state
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("### Chatte mit deinem Mini-Game")
+    with gr.Row():
+        system_message = gr.Textbox(value="Du bist ein dickköpfiger Bürokrat, der nicht hilfreich sein will.", label="Systemnachricht", placeholder="Gib hier die Systemnachricht ein...")
+        user_input = gr.Textbox(label="Deine Nachricht", placeholder="Gib hier deine Chatnachricht ein...")
+        temperature_slider = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.7, label="Temperatur")
+        submit_button = gr.Button("Senden")
+    chat_container = gr.Chatbot(label="Chatverlauf")
+    history_state = gr.State([])  # Using Gradio State to maintain conversation history
+
+    submit_button.click(fn=chat_with_gpt, 
+                        inputs=[user_input, system_message, temperature_slider, history_state], 
+                        outputs=[chat_container, history_state])
+
+# Launch the Gradio app
+demo.launch()

requirements.txt

@@ -1,3 +1,2 @@
-os
 openai
 gradio