Update app.py

app.py

@@ -16,16 +16,36 @@ def load_cv():
 # Extract information from the CV
 cv_text = load_cv()
 
+# Initialize a history list to keep track of the conversation
+history = []
+
 def chat_with_ai(user_input):  
+    global history
+    
+    # Append user message to history
+    history.append({"role": "user", "content": user_input})
+
+    # Limit history to the last 20 messages
+    if len(history) > 20:
+        history = history[-20:]
+
+    # Prepare the messages for the API call, including the CV text
+    messages = [
+        {"role": "system", "content": "You are Karthik Raja, and the following details are your academic and research achievements and industry experiences."},
+        {"role": "system", "content": cv_text}
+    ] + history
+
+    # Make the API call
     completion = client.chat.completions.create(
-      model="gpt-3.5-turbo",
-      messages=[
-        {"role": "system", "content":"You are a helpful assistant that can only answer questions about Karthik Raja"},
-        {"role": "user", "content":"{cv_text}\n\nUser: {user_input}"}
-      ]
+        model="gpt-3.5-turbo",
+        messages=messages
     )
     
-    return completion.choices[0].message
+    assistant_message = completion.choices[0].message
+    # Append assistant message to history
+    history.append(assistant_message)
+
+    return assistant_message['content']
 
 def main(user_input):
     response = chat_with_ai(user_input)
@@ -36,7 +56,7 @@ iface = gr.Interface(
     inputs=gr.Textbox(label="Ask a question, that you would like to ask Karthik"),
     outputs="text",
     title="AI Clone",
-    description="Interact with an AI clone for recruiting or for fun :) "
+    description="Interact with an AI clone for recruiting or for fun :)"
 )
 
 iface.launch()