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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
from PIL import Image
from io import BytesIO
from base64 import b64decode
# Streamlit page configuration
st.set_page_config(page_title='DALL-E Image Generator', layout='wide')
# Streamlit sidebar elements
st.sidebar.title("DALL-E Image Generator")
prompt = st.sidebar.text_input("Enter your prompt:", value='A penguin watching the sunset.')
PAT = st.sidebar.text_input("Enter your Personal Access Token:", type="password")
# Constants
USER_ID = 'openai'
APP_ID = 'dall-e'
MODEL_ID = 'dall-e-3'
MODEL_VERSION_ID = 'dc9dcb6ee67543cebc0b9a025861b868'
# Streamlit main page
st.title('Generate Images with DALL-E and Clarifai')
if st.sidebar.button("Generate Image"):
if PAT: # Check if PAT is filled
with st.spinner('Generating Image...'):
# Clarifai gRPC setup
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)
post_model_outputs_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=prompt)
)
)
]
),
metadata=metadata
)
if post_model_outputs_response.status.code != status_code_pb2.SUCCESS:
st.error("Error in generating image: " + post_model_outputs_response.status.description)
else:
# Decode the base64 image and display
output = post_model_outputs_response.outputs[0].data.image.base64
image = Image.open(BytesIO(output))
st.image(image, caption='Generated Image', use_column_width=True)
else:
st.sidebar.warning("Please enter your Personal Access Token.")
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