Spaces:
Build error
Build error
File size: 2,593 Bytes
9a869c1 c5a2dc4 9a869c1 a49f9e3 9a869c1 150cf0a 9a869c1 bbdfab0 4f8aef6 a49f9e3 4f8aef6 a49f9e3 5bf92ce c5a2dc4 a49f9e3 150cf0a a49f9e3 764d003 a49f9e3 fba7226 c5a2dc4 c825d84 a49f9e3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
import streamlit as st
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
from clarifai_grpc.grpc.api.status import status_code_pb2
import numpy as np
# Streamlit page configuration
st.set_page_config(page_title="Text to Speech", layout="centered")
# Streamlit sidebar elements
st.sidebar.title("Text to Audio")
PAT = st.sidebar.text_input("Enter your Personal Access Token:", type="password")
# Authentication details (hide or secure this in production!)
'''
USER_ID = 'openai'
APP_ID = 'tss'
MODEL_ID = 'openai-tts-1'
MODEL_VERSION_ID = 'fff6ce1fd487457da95b79241ac6f02d'
'''
USER_ID = 'eleven-labs'
APP_ID = 'audio-generation'
# Change these to whatever model and text URL you want to use
MODEL_ID = 'speech-synthesis'
MODEL_VERSION_ID = 'f2cead3a965f4c419a61a4a9b501095c'
# pad buffer
def pad_buffer(audio):
# Pad buffer to multiple of 2 bytes
buffer_size = len(audio)
element_size = np.dtype(np.int16).itemsize
if buffer_size % element_size != 0:
audio = audio + b'\0' * (element_size - (buffer_size % element_size))
return audio
# Streamlit UI
st.title("Text to Audio Conversion")
input_text = st.text_area("Enter text to convert to speech:", "I love your product very much")
# Disable the button until PAT is entered
if PAT:
submit_button = st.button("Convert")
else:
submit_button = st.button("Convert", disabled=True)
if submit_button:
channel = ClarifaiChannel.get_grpc_channel()
stub = service_pb2_grpc.V2Stub(channel)
metadata = (('authorization', 'Key ' + PAT),)
userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
try:
response = stub.PostModelOutputs(
service_pb2.PostModelOutputsRequest(
user_app_id=userDataObject,
model_id=MODEL_ID,
version_id=MODEL_VERSION_ID,
inputs=[resources_pb2.Input(data=resources_pb2.Data(text=resources_pb2.Text(raw=input_text)))]
),
metadata=metadata
)
if response.status.code != status_code_pb2.SUCCESS:
st.error("Error in model response: " + response.status.description)
raise Exception("Post model outputs failed, status: " + response.status.description)
# Assuming the output is in audio format
audio_output = response.outputs[0].data.audio.base64
st.audio(pad_buffer(audio_output), format="audio/wav")
except Exception as e:
st.error(f"An error occurred: {e}")
|