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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
# Set your Clarifai credentials and model details
PAT = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
USER_ID = 'openai'
# Streamlit app
st.title("AI Integration App")
# Choose model type
model_type = st.radio("Select Model Type", ["GPT-4 Turbo", "GPT-4 Vision", "DALL-E", "Text-to-Speech"])
# Input text prompt from the user
raw_text = st.text_input("Enter a text prompt:", 'I love your product very much')
# Button to generate result
if st.button("Generate Result"):
if model_type == "GPT-4 Turbo":
# Connect to Clarifai API for GPT-4 Turbo
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='chat-completion')
# Make a request to Clarifai API for GPT-4 Turbo
post_model_outputs_response = stub.PostModelOutputs(
service_pb2.PostModelOutputsRequest(
user_app_id=userDataObject,
model_id='gpt-4-turbo',
version_id='182136408b4b4002a920fd500839f2c8',
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
text=resources_pb2.Text(
raw=raw_text
)
)
)
]
),
metadata=metadata
)
# Display the generated result if the request is successful
if post_model_outputs_response.status.code != status_code_pb2.SUCCESS:
st.error(f"Clarifai API request failed: {post_model_outputs_response.status.description}")
else:
output = post_model_outputs_response.outputs[0].data.image.base64
st.image(output, caption='Generated Image', use_column_width=True)
elif model_type == "GPT-4 Vision":
# Connect to Clarifai API for GPT-4 Vision
# Replace the following lines with actual GPT-4 Vision logic
st.warning("GPT-4 Vision integration code goes here.")
elif model_type == "DALL-E":
# Connect to Clarifai API for DALL-E
# Replace the following lines with actual DALL-E logic
st.warning("DALL-E integration code goes here.")
elif model_type == "Text-to-Speech":
# Connect to Clarifai API for Text-to-Speech
# Replace the following lines with actual Text-to-Speech logic
st.warning("Text-to-Speech integration code goes here.")
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