Upload app.py

app.py

@@ -2,24 +2,34 @@ import openai
 from keys import mykey
 import gradio as gr
 
+# Set your OpenAI API key
 openai.api_key = mykey["mediQ"]
 
+# Chat function
 def gpt_response(message, history=[]):
-    prompt = "\n".join(history + [message])
+    # Reformat history into proper OpenAI chat message format
+    messages = [
+        {"role": "system", "content": "You are a careful and experienced clinical reasoning expert."}
+    ]
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+    messages.append({"role": "user", "content": message})
+
+    # Call OpenAI GPT-4
     response = openai.ChatCompletion.create(
         model="gpt-4",
-        messages=[
-            {"role": "system", "content": "You are a careful and experienced clinical reasoning expert."},
-            {"role": "user", "content": prompt}
-        ],
+        messages=messages,
         temperature=0.3,
         max_tokens=300
     )
+
     reply = response["choices"][0]["message"]["content"]
     return reply
 
+# Gradio chat interface
 gr.ChatInterface(
     fn=gpt_response,
     title="🧠 MediQ GPT-4 Clinical Reasoning",
-    description="This private app uses GPT-4 to simulate adaptive question-asking in clinical reasoning."
+    description="Ask a clinical question. GPT-4 will simulate adaptive expert reasoning.",
 ).launch()