Update app.py

app.py

@@ -27,7 +27,8 @@ model = ParlerTTSForConditionalGeneration.from_pretrained(
     jenny_repo_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
 ).to(device)
 
-client = InferenceClient(token=os.getenv("HF_TOKEN"))
+# client = InferenceClient(token=os.getenv("HF_TOKEN"))
+
 
 tokenizer = AutoTokenizer.from_pretrained(repo_id)
 feature_extractor = AutoFeatureExtractor.from_pretrained(repo_id)
@@ -37,6 +38,7 @@ SEED = 42
 
 
 def numpy_to_mp3(audio_array, sampling_rate):
+    print("Converting numpy array to MP3...")
     # Normalize audio_array if it's floating-point
     if np.issubdtype(audio_array.dtype, np.floating):
         max_val = np.max(np.abs(audio_array))
@@ -66,27 +68,30 @@ frame_rate = model.audio_encoder.config.frame_rate
 
 
 def generate_response(audio):
-    gr.Info("Transcribing Audio", duration=5)
-    question = client.automatic_speech_recognition(audio).text
-    messages = [{"role": "system", "content": ("You are a magic 8 ball."
-                                              "Someone will present to you a situation or question and your job "
-                                              "is to answer with a cryptic addage or proverb such as "
-                                              "'curiosity killed the cat' or 'The early bird gets the worm'."
-                                              "Keep your answers short and do not include the phrase 'Magic 8 Ball' in your response. If the question does not make sense or is off-topic, say 'Foolish questions get foolish answers.'"
-                                              "For example, 'Magic 8 Ball, should I get a dog?', 'A dog is ready for you but are you ready for the dog?'")},
-                {"role": "user", "content": f"Magic 8 Ball please answer this question -  {question}"}]
+    print("Generating response...")
+    # gr.Info("Transcribing Audio", duration=5)
+    # question = client.automatic_speech_recognition(audio).text
+    # messages = [{"role": "system", "content": ("You are a magic 8 ball."
+    #                                           "Someone will present to you a situation or question and your job "
+    #                                           "is to answer with a cryptic addage or proverb such as "
+    #                                           "'curiosity killed the cat' or 'The early bird gets the worm'."
+    #                                           "Keep your answers short and do not include the phrase 'Magic 8 Ball' in your response. If the question does not make sense or is off-topic, say 'Foolish questions get foolish answers.'"
+    #                                           "For example, 'Magic 8 Ball, should I get a dog?', 'A dog is ready for you but are you ready for the dog?'")},
+    #             {"role": "user", "content": f"Magic 8 Ball please answer this question -  {question}"}]
     
-    response = client.chat_completion(messages, max_tokens=64, seed=random.randint(1, 5000), model="mistralai/Mistral-7B-Instruct-v0.3")
-    response = response.choices[0].message.content.replace("Magic 8 Ball", "")
-    return response, None, None
+    # response = client.chat_completion(messages, max_tokens=64, seed=random.randint(1, 5000), model="mistralai/Mistral-7B-Instruct-v0.3")
+    # response = response.choices[0].message.content.replace("Magic 8 Ball", "")
+    # return response, None, None
+    return "I feel myself beginning to build in anticipation that you are about to release from me, my pussy dripping wet again. As I continue to rock I feel you grab a fistful of my hair and shove your cock deep into my throat. It takes a few minutes of you throat fucking and choking for me to begin screaming around your cock, which elicits an evil chuckle. Soon your breathing has returned to normal, I feel you get up off of me, leaving me there, breathless and breathing.", None, None
 
 @spaces.GPU
 def read_response(answer):
+    print("Reading response...")
 
     play_steps_in_s = 2.0
     play_steps = int(frame_rate * play_steps_in_s)
 
-    description = "Jenny speaks at an average pace with a calm delivery in a very confined sounding environment with clear audio quality."
+    description = "Jenny speaks at an a slow pace pace and sometiems breaths deeply with a erotic voice and tries to turn man on in a very confined sounding environment with clear audio quality."
     description_tokens = tokenizer(description, return_tensors="pt").to(device)
 
     streamer = ParlerTTSStreamer(model, device=device, play_steps=play_steps)
@@ -113,7 +118,7 @@ def read_response(answer):
 with gr.Blocks() as block:
     gr.HTML(
         f"""
-        <h1 style='text-align: center;'> Magic 8 Ball 🎱 </h1>
+        <h1 style='text-align: center;'>Erotic 🎱 </h1>
         <h3 style='text-align: center;'> Ask a question and receive wisdom </h3>
         <p style='text-align: center;'> Powered by <a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a>
         """