Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 from sentence_transformers import SentenceTransformer, util
 import openai
+from openai import OpenAI
 import os
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
@@ -9,7 +10,7 @@ os.environ["TOKENIZERS_PARALLELISM"] = "false"
 filename = "output_topic_details.txt"  # Path to the file storing chess-specific details
 retrieval_model_name = 'output/sentence-transformer-finetuned/'
 
-openai.api_key = os.environ["OPENAI_API_KEY"]
+client = OpenAI(api_key="DEEPSEEK_API", base_url="https://api.deepseek.com")
 
 system_message = "You are a chatbot specialized in providing information the Young Yale Global Scholars program. You will be giving information to be applicants and scholars."
 # Initial system message to set the behavior of the assistant
@@ -72,15 +73,17 @@ def generate_response(user_query, relevant_segment):
         # Append user's message to messages list
         messages.append({"role": "user", "content": user_message})
         
-        response = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",
-            messages=messages,
-            max_tokens=4096,
-            temperature=0.2,
-            top_p=1,
-            frequency_penalty=0,
-            presence_penalty=0
-        )
+        response = client.chat.completions.create(
+    model="deepseek-chat",
+    messages=[
+        {"role": "system", "content": "You are a helpful assistant"},
+        {"role": "user", "content": "Hello"},
+    ],
+    max_tokens=1024,
+    temperature=0.7,
+    stream=False
+)
+
         
         # Extract the response text
         output_text = response['choices'][0]['message']['content'].strip()