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Update app.py
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app.py
CHANGED
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@@ -3,6 +3,8 @@ import base64
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import io
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from huggingface_hub import InferenceClient
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from gtts import gTTS
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from audiorecorder import audiorecorder
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import speech_recognition as sr
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@@ -22,6 +24,9 @@ def recognize_speech(audio_data):
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audio_text = recognizer.recognize_google(audio, language="es-ES")
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def format_prompt(message, history):
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prompt = "<s>"
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@@ -63,10 +68,13 @@ def text_to_speech(text, speed=1.3):
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audio_fp = io.BytesIO()
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tts.write_to_fp(audio_fp)
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audio_fp.seek(0)
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def main():
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audio_data = audiorecorder("Habla para
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if "history" not in st.session_state:
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st.session_state.history = []
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@@ -75,12 +83,10 @@ def main():
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st.audio(audio_data.export().read(), format="audio/wav")
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audio_data.export("audio.wav", format="wav")
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st.write(f"Frame rate: {audio_data.frame_rate}, Frame width: {audio_data.frame_width}, Duration: {audio_data.duration_seconds} seconds")
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audio_text = recognize_speech("audio.wav")
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if audio_text:
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output, audio_file = generate(audio_text, history=st.session_state.history)
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st.text_area("Respuesta", height=100, value=output, key="output_text", disabled=True)
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if audio_file is not None:
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st.markdown(
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import io
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from huggingface_hub import InferenceClient
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from gtts import gTTS
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from pydub import AudioSegment
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from pydub.playback import play
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from audiorecorder import audiorecorder
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import speech_recognition as sr
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audio_text = recognizer.recognize_google(audio, language="es-ES")
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st.success("Reconocimiento de voz completado.")
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return audio_text
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def format_prompt(message, history):
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prompt = "<s>"
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audio_fp = io.BytesIO()
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tts.write_to_fp(audio_fp)
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audio_fp.seek(0)
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audio = AudioSegment.from_mp3(audio_fp)
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audio = audio.speedup(playback_speed=speed)
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return audio.export(format="mp3", codec="mp3")
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def main():
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audio_data = audiorecorder("Habla para iniciar", "Procesando...")
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if "history" not in st.session_state:
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st.session_state.history = []
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st.audio(audio_data.export().read(), format="audio/wav")
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audio_data.export("audio.wav", format="wav")
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st.write(f"Frame rate: {audio_data.frame_rate}, Frame width: {audio_data.frame_width}, Duration: {audio_data.duration_seconds} seconds")
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audio_text = recognize_speech("audio.wav")
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if audio_text:
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output, audio_file = generate(audio_text, history=st.session_state.history)
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if audio_file is not None:
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st.markdown(
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