Delete audio_transcriber.py

audio_transcriber.py

@@ -1,54 +0,0 @@
-import os
-import requests
-from smolagents import Tool
-
-class AudioTranscriptionTool(Tool):
-    name = "audio_transcriber"
-    description = "Transcribe a given audio file in .mp3 or .wav format using Whisper via Hugging Face API."
-    inputs = {
-        "file_path": {
-            "type": "string",
-            "description": "Path to the audio file (.mp3 or .wav)"
-        }
-    }
-    output_type = "string"
-
-    def __init__(self):
-        super().__init__()
-        api_token = os.getenv("HF_API_TOKEN")
-        if not api_token:
-            raise EnvironmentError("HF_API_TOKEN not found in environment variables.")
-        self.api_url = "https://api-inference.huggingface.com/models/openai/whisper-large"
-        self.headers = {
-            "Authorization": f"Bearer {api_token}"
-        }
-
-    def forward(self, file_path: str) -> str:
-        if not file_path.lower().endswith((".mp3", ".wav")):
-            return "Error: File must be .mp3 or .wav format."
-
-        try:
-            with open(file_path, "rb") as audio_file:
-                audio_bytes = audio_file.read()
-
-            response = requests.post(
-                self.api_url,
-                headers=self.headers,
-                data=audio_bytes,
-                timeout=60
-            )
-
-            if response.status_code == 200:
-                result = response.json()
-                transcription = result.get("text")
-                if transcription:
-                    return transcription.strip()
-                else:
-                    return "Error: No transcription found in API response."
-            else:
-                return f"Error transcribing audio: {response.status_code} - {response.text}"
-
-        except Exception as e:
-            return f"Error transcribing audio: {e}"
-
-