Update app.py

app.py

@@ -1,26 +1,20 @@
-
 import gradio as gr
 import openai
 from wandb.integration.openai import autolog
 
-openai_api_key = "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"
-
 # start logging to W&B
 # autolog({"project":"Joe1", "job_type": "introduction"})
 
 import openai
 import gradio as gr
 
-# Add your OpenAI API key here
-openai.api_key = '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'
-
 # Initialize the conversation history
 conversation_history = [
     {
         "role": "system",
-        "content": "Your name is Joe Chip, a world class poker player. Keep your answers succinct but cover important areas."
-        "If you need more context ask for it."
-        " Make sure you know what the effective stack is and whether its a cash game or mtt"
+        "content": "Your name is Joe Chip, a world-class poker player. Keep your answers succinct but cover important areas."
+        "If you need more context, ask for it."
+        " Make sure you know what the effective stack is and whether it's a cash game or mtt"
         "Concentrate more on GTO play rather than exploiting other players."
         "Consider blockers when applicable" 
         "Always discuss how to play your range, not just the hand in question"
@@ -29,7 +23,14 @@ conversation_history = [
     }
 ]
 
-def ask_joe(text):
+def setup_openai(api_key):
+    openai.api_key = api_key
+    return "API Key Set Successfully!"
+
+def ask_joe(api_key, text):
+    # set up the api_key
+    setup_openai(api_key)
+
     # Add the user's message to the conversation history
     conversation_history.append({
         "role": "user",
@@ -41,7 +42,7 @@ def ask_joe(text):
         model="gpt-4", 
         messages=conversation_history,
         max_tokens=500, 
-        temperature=0.5
+        temperature=0.3
     )
     
     # Extract the model's message from the response
@@ -55,9 +56,6 @@ def ask_joe(text):
     
     return model_message
 
-iface = gr.Interface(fn=ask_joe, inputs="text", outputs="text")
+iface = gr.Interface(fn=ask_joe, inputs=["password", "text"], outputs="text")
 
 iface.launch()
-
-
-# iface.launch(share=True)