fixed dual messaggin error

app.py

@@ -2,19 +2,31 @@ import gradio as gr
 from openai import OpenAI
 from dotenv import load_dotenv
 import os
+
 # Load environment variables from .env file
 load_dotenv()
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 def chat_with_llm(message, history, temperature=0.7, top_p=1.0, max_tokens=256):
     """Function to interact with OpenAI's Chat API with additional controls."""
-    response = client.chat.completions.create(model="gpt-3.5-turbo",
-    messages=[{"role": "system", "content": "You are a helpful assistant."}] +
-             history +
-             [{"role": "user", "content": message}],
-    temperature=temperature,
-    top_p=top_p,
-    max_tokens=max_tokens)
+    
+    # Convert history (list of tuples) into OpenAI's expected format
+    formatted_history = []
+    for user_msg, assistant_msg in history:
+        formatted_history.append({"role": "user", "content": user_msg})
+        formatted_history.append({"role": "assistant", "content": assistant_msg})
+
+    # Make the API call
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "system", "content": "You are a helpful assistant."}] +
+                 formatted_history +  
+                 [{"role": "user", "content": message}],
+        temperature=temperature,
+        top_p=top_p,
+        max_tokens=max_tokens
+    )
+    
     return response.choices[0].message.content
 
 # Create Gradio chat interface with sliders for temperature, top_p, and max_tokens
@@ -27,4 +39,5 @@ demo = gr.ChatInterface(
     ]
 )
 
-demo.launch(share=True)
+# Enable sharing for external access
+demo.launch()