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app.py

@@ -1,22 +1,22 @@
+import os
+import time
+
+import gradio as gr
+import numpy as np
+from dotenv import load_dotenv
+from elevenlabs import ElevenLabs
+from fastapi import FastAPI
 from fastrtc import (
-    ReplyOnPause,
     AdditionalOutputs,
+    ReplyOnPause,
     Stream,
+    WebRTCError,
     aggregate_bytes_to_16bit,
     get_twilio_turn_credentials,
-    WebRTCError,
     stt,
-    audio_to_bytes,
 )
-import numpy as np
-import gradio as gr
 from gradio.utils import get_space
 from groq import Groq
-from elevenlabs import ElevenLabs
-from dotenv import load_dotenv
-import time
-import os
-from fastapi import FastAPI
 
 load_dotenv()
 groq_client = Groq()
@@ -34,11 +34,6 @@ def response(
         messages = [{"role": d["role"], "content": d["content"]} for d in chatbot]
         start = time.time()
         text = stt(audio)
-        # text = groq_client.audio.transcriptions.create(
-        #     file=("audio-file.mp3", audio_to_bytes(audio)),
-        #     model="whisper-large-v3-turbo",
-        #     response_format="verbose_json",
-        # ).text
         print("transcription", time.time() - start)
         print("prompt", text)
         chatbot.append({"role": "user", "content": text})
@@ -66,7 +61,7 @@ def response(
             audio_array = np.frombuffer(chunk, dtype=np.int16).reshape(1, -1)
             yield (24000, audio_array)
         yield AdditionalOutputs(chatbot)
-    except Exception as e:
+    except Exception:
         import traceback
 
         traceback.print_exc()