Update app.py

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-import whisper
+import openai
 # from langchain.agents import initialize_agent, Tool
 # from langchain.agents.agent_types import AgentType
 # from langchain.chat_models import ChatOpenAI
@@ -69,13 +69,16 @@ def transcribe_audio_tool(audio_path: str) -> str:
     Returns:
         str: Transcribed text or error message.
     """
+    openai.api_key = os.environ.get("OPENAI_API_KEY")
     try:
-        model = whisper.load_model("base")  # Or use "small", "medium", or "large" if needed
-
-        result = model.transcribe(audio_path)
-        return result["text"]
+        with open(audio_path, "rb") as audio_file:
+            transcript = openai.audio.transcriptions.create(
+                model="whisper-1", 
+                file=audio_file
+            )
+        return transcript#.text
     except Exception as e:
-        return f"Error transcribing audio: {str(e)}"
+        return f"Error transcribing audio: {e}"
 
 # --- Agent defining Class ---        
 class BasicAgent: