Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import whisper
 # from langchain.agents import initialize_agent, Tool
 # from langchain.agents.agent_types import AgentType
 # from langchain.chat_models import ChatOpenAI
@@ -15,7 +16,6 @@ import pandas as pd
 # from smolagents.tools import Tool
 from smolagents import ToolCallingAgent, DuckDuckGoSearchTool, InferenceClientModel, tool
 
-
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -57,6 +57,26 @@ def read_excel_tool(file_path: str) -> str:
     except Exception as e:
         return f"Error reading file: {str(e)}"
 
+# --- MP3 Audio Transcription Tool ---
+@tool
+def transcribe_audio_tool(audio_path: str) -> str:
+    """
+    Transcribes an MP3 (or WAV) audio file using Whisper and returns the full transcription.
+    
+    Args:
+        audio_path (str): Full path to the audio file (.mp3 or .wav).
+        
+    Returns:
+        str: Transcribed text or error message.
+    """
+    try:
+        model = whisper.load_model("base")  # Or use "small", "medium", or "large" if needed
+
+        result = model.transcribe(audio_path)
+        return result["text"]
+    except Exception as e:
+        return f"Error transcribing audio: {str(e)}"
+
 # --- Agent defining Class ---        
 class BasicAgent:
     def __init__(self):