Update app.py

app.py

@@ -9,23 +9,24 @@ coach_code = os.getenv("COACH_CODE")
 coach_name_short = os.getenv("COACH_NAME_SHORT")
 coach_name_upper = os.getenv("COACH_NAME_UPPER")
 sys_prompt_new = os.getenv("PROMPT_NEW")
-theme="sudeepshouche/minimalist"
+theme=os.getenv("THEME")
 ################# End PERSONA-SPECIFIC VALUES ######################
 
 ################# Start OpenAI-SPECIFIC VALUES ######################
 # Initialize OpenAI API client with API key
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 # OpenAI model
-openai_model = "gpt-3.5-turbo-0125"
+openai_model = os.getenv("OPENAI_MODEL")
 ################# End OpenAI-SPECIFIC VALUES ######################
 
 tx = os.getenv("TX")
 prefix = os.getenv("PREFIX")  #  "/data/" if in HF or "data/" if local
+file_name = os.getenv("FILE_NAME")
 
 ############### CHAT ###################
 def predict(user_input, history):
     max_length = 500
-    transcript_file_path = f"{prefix}{coach_code}-transcript.txt"
+    transcript_file_path = f"{prefix}{coach_code}-{file_name}"
     transcript = ""  # Initialize the transcript variable
 
     if user_input == tx:
@@ -36,7 +37,7 @@ def predict(user_input, history):
                     transcript = file.read()
                 return transcript
         except FileNotFoundError:
-            return "File " + transcript_file_path + " not found."
+            return "File '" + os.getenv("FILE_NAME") + "' not found."
     elif len(user_input) > max_length:
         raise gr.Error(f"Input is TOO LONG. Max length is {max_length} characters. Try again.")