salomonsky commited on
Commit
b303f3d
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1 Parent(s): 8af9186

Update app.py

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Files changed (1) hide show
  1. app.py +40 -22
app.py CHANGED
@@ -1,13 +1,13 @@
1
  import streamlit as st
 
2
  import io
3
  from huggingface_hub import InferenceClient
 
4
  from audiorecorder import audiorecorder
5
  import speech_recognition as sr
6
- import pyaudio
7
- import wave
8
- import os
9
 
10
- pre_prompt_text = "Eres una IA conductual, tus respuestas deber谩n ser breves, est贸icas y humanistas."
11
 
12
  if "history" not in st.session_state:
13
  st.session_state.history = []
@@ -15,7 +15,6 @@ if "history" not in st.session_state:
15
  if "pre_prompt_sent" not in st.session_state:
16
  st.session_state.pre_prompt_sent = False
17
 
18
- # Simplified error messages
19
  def recognize_speech(audio_data, show_messages=True):
20
  recognizer = sr.Recognizer()
21
  audio_recording = sr.AudioFile(audio_data)
@@ -26,21 +25,28 @@ def recognize_speech(audio_data, show_messages=True):
26
  try:
27
  audio_text = recognizer.recognize_google(audio, language="es-ES")
28
  if show_messages:
29
- st.subheader("Texto Reconocido:")
30
  st.write(audio_text)
31
- st.success("Reconocimiento de voz completado.")
32
- except (sr.UnknownValueError, sr.RequestError) as e:
33
- st.error("Error en el reconocimiento de voz. 驴Intentaste grabar algo?")
 
 
 
34
  audio_text = ""
35
 
36
  return audio_text
37
 
38
- # Simplified prompt formatting
39
  def format_prompt(message, history):
40
- prompt = "<s>[INST] " + pre_prompt_text + " [/INST]"
 
 
 
 
41
 
42
  for user_prompt, bot_response in history:
43
- prompt += f"[INST] {user_prompt} [/INST] {bot_response}</s> "
 
44
 
45
  prompt += f"[INST] {message} [/INST]"
46
  return prompt
@@ -68,15 +74,23 @@ def generate(audio_text, history, temperature=None, max_new_tokens=512, top_p=0.
68
  response += response_token.token.text
69
 
70
  response = ' '.join(response.split()).replace('</s>', '')
71
- return response
 
 
 
 
 
 
 
 
 
 
 
 
 
72
 
73
- # Simplified audio playback using os.system and say
74
- def play_audio(text):
75
- os.system(f"say '{text}'")
76
-
77
- # Simplified audio playback
78
  def main():
79
- audio_data = audiorecorder("Presiona para hablar", "Deteniendo la grabaci贸n...")
80
 
81
  if not audio_data.empty():
82
  st.audio(audio_data.export().read(), format="audio/wav")
@@ -84,8 +98,12 @@ def main():
84
  audio_text = recognize_speech("audio.wav")
85
 
86
  if audio_text:
87
- response = generate(audio_text, history=st.session_state.history)
88
- play_audio(response)
 
 
 
 
89
 
90
  if __name__ == "__main__":
91
- main()
 
1
  import streamlit as st
2
+ import base64
3
  import io
4
  from huggingface_hub import InferenceClient
5
+ from gtts import gTTS
6
  from audiorecorder import audiorecorder
7
  import speech_recognition as sr
8
+ from pydub import AudioSegment
 
 
9
 
10
+ pre_prompt_text = "You are a behavioral AI, your answers should be brief, stoic and humanistic."
11
 
12
  if "history" not in st.session_state:
13
  st.session_state.history = []
 
15
  if "pre_prompt_sent" not in st.session_state:
16
  st.session_state.pre_prompt_sent = False
17
 
 
18
  def recognize_speech(audio_data, show_messages=True):
19
  recognizer = sr.Recognizer()
20
  audio_recording = sr.AudioFile(audio_data)
 
25
  try:
26
  audio_text = recognizer.recognize_google(audio, language="es-ES")
27
  if show_messages:
28
+ st.subheader("Recognized text:")
29
  st.write(audio_text)
30
+ st.success("Completed.")
31
+ except sr.UnknownValueError:
32
+ st.warning("The audio could not be recognized. Did you try to record something?")
33
+ audio_text = ""
34
+ except sr.RequestError:
35
+ st.error("Talk to me to get started!")
36
  audio_text = ""
37
 
38
  return audio_text
39
 
 
40
  def format_prompt(message, history):
41
+ prompt = "<s>"
42
+
43
+ if not st.session_state.pre_prompt_sent:
44
+ prompt += f"[INST] {pre_prompt_text} [/INST]"
45
+ st.session_state.pre_prompt_sent = True
46
 
47
  for user_prompt, bot_response in history:
48
+ prompt += f"[INST] {user_prompt} [/INST]"
49
+ prompt += f" {bot_response}</s> "
50
 
51
  prompt += f"[INST] {message} [/INST]"
52
  return prompt
 
74
  response += response_token.token.text
75
 
76
  response = ' '.join(response.split()).replace('</s>', '')
77
+ audio_file = text_to_speech(response, speed=1.3)
78
+ return response, audio_file
79
+
80
+ def text_to_speech(text, speed=1.3):
81
+ tts = gTTS(text=text, lang='es')
82
+ audio_fp = io.BytesIO()
83
+ tts.write_to_fp(audio_fp)
84
+ audio_fp.seek(0)
85
+ audio = AudioSegment.from_file(audio_fp, format="mp3")
86
+ modified_speed_audio = audio.speedup(playback_speed=speed)
87
+ modified_audio_fp = io.BytesIO()
88
+ modified_speed_audio.export(modified_audio_fp, format="mp3")
89
+ modified_audio_fp.seek(0)
90
+ return modified_audio_fp
91
 
 
 
 
 
 
92
  def main():
93
+ audio_data = audiorecorder("Push to Play", "Stop Recording...")
94
 
95
  if not audio_data.empty():
96
  st.audio(audio_data.export().read(), format="audio/wav")
 
98
  audio_text = recognize_speech("audio.wav")
99
 
100
  if audio_text:
101
+ output, audio_file = generate(audio_text, history=st.session_state.history)
102
+
103
+ if audio_file is not None:
104
+ st.markdown(
105
+ f"""<audio autoplay="autoplay" controls="controls" src="data:audio/mp3;base64,{base64.b64encode(audio_file.read()).decode()}" type="audio/mp3" id="audio_player"></audio>""",
106
+ unsafe_allow_html=True)
107
 
108
  if __name__ == "__main__":
109
+ main()