Update app.py

app.py

@@ -50,31 +50,12 @@ class FasterRCNNDetector:
 
 class JarvisModels:
     def __init__(self):
-        self.client1 = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
         self.processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-base-960h")
         self.model = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-base-960h")
 
     async def generate_response(self, prompt):
-        generate_kwargs = dict(
-            temperature=0.6,
-            max_new_tokens=256,
-            top_p=0.95,
-            repetition_penalty=1,
-            do_sample=True,
-            seed=42,
-        )
-        formatted_prompt = system_instructions1 + prompt + "[JARVIS]"
-        stream = self.client1.text_generation(
-            formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
-        output = ""
-        for response in stream:
-            output += response.token.text
-
-        communicate = edge_tts.Communicate(output)
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
-            tmp_path = tmp_file.name
-            communicate.save(tmp_path)
-        return tmp_path
+        # Anda dapat menambahkan logika untuk menghasilkan tanggapan di sini
+        pass
 
     async def transcribe_audio(self, audio_file):
         input_audio, _ = torchaudio.load(audio_file)