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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

# Function to make API call and get text completion
def get_text_completion(raw_text):
    PAT = '3ca5bd8b0f2244eb8d0e4b2838fc3cf1'
    USER_ID = 'openai'
    APP_ID = 'chat-completion'
    MODEL_ID = 'GPT-4'
    MODEL_VERSION_ID = '182136408b4b4002a920fd500839f2c8'
    
    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=raw_text
                        )
                    )
                )
            ]
        ),
        metadata=metadata
    )
    
    if post_model_outputs_response.status.code != status_code_pb2.SUCCESS:
        raise Exception(f"Post model outputs failed, status: {post_model_outputs_response.status.description}")
    
    output = post_model_outputs_response.outputs[0]
    
    return output.data.text.raw

# Streamlit app
def main():
    st.title("Pyresearch gpt App")
    
    # Get user input
    raw_text = st.text_area("Enter text:", "i need to know about narcotics pemishment")
    
    # Perform text completion when button is clicked
    if st.button("Complete Text"):
        completion_result = get_text_completion(raw_text)
        st.success("Completion:\n{}".format(completion_result))
    
    # Display HTML content
    html_content = '''

<div align="center">
    <a href="https://github.com/pyresearch/pyresearch" style="text-decoration:none;">
      <img src="https://user-images.githubusercontent.com/34125851/226594737-c21e2dda-9cc6-42ef-b4e7-a685fea4a21d.png" width="2%" alt="" /></a>
    <img src="https://user-images.githubusercontent.com/34125851/226595799-160b0da3-c9e0-4562-8544-5f20460f7cc9.png" width="2%" alt="" />
      <a href="https://www.linkedin.com/company/pyresearch/" style="text-decoration:none;">
      <img src="https://user-images.githubusercontent.com/34125851/226596446-746ffdd0-a47e-4452-84e3-bf11ec2aa26a.png" width="2%" alt="" /></a>
    <img src="https://user-images.githubusercontent.com/34125851/226595799-160b0da3-c9e0-4562-8544-5f20460f7cc9.png" width="2%" alt="" />
    <a href="https://twitter.com/Noorkhokhar10" style="text-decoration:none;">
      <img src="https://user-images.githubusercontent.com/34125851/226599162-9b11194e-4998-440a-ba94-c8a5e1cdc676.png" width="2%" alt="" /></a>
    <img src="https://user-images.githubusercontent.com/34125851/226595799-160b0da3-c9e0-4562-8544-5f20460f7cc9.png" width="2%" alt="" />    
    <a href="https://www.youtube.com/@Pyresearch" style="text-decoration:none;">
      <img src="https://user-images.githubusercontent.com/34125851/226599904-7d5cc5c0-89d2-4d1e-891e-19bee1951744.png" width="2%" alt="" /></a>
    <img src="https://user-images.githubusercontent.com/34125851/226595799-160b0da3-c9e0-4562-8544-5f20460f7cc9.png" width="2%" alt="" />
    <a href="https://www.facebook.com/Pyresearch" style="text-decoration:none;">
      <img src="https://user-images.githubusercontent.com/34125851/226600380-a87a9142-e8e0-4ec9-bf2c-dd6e9da2f05a.png" width="2%" alt="" /></a>
    <img src="https://user-images.githubusercontent.com/34125851/226595799-160b0da3-c9e0-4562-8544-5f20460f7cc9.png" width="2%" alt="" />
    <a href="https://www.instagram.com/pyresearch/" style="text-decoration:none;">  
      <img src="https://user-images.githubusercontent.com/34125851/226601355-ffe0b597-9840-4e10-bbef-43d6c74b5a9e.png" width="2%" alt="" /></a>      
  </div>

    '''
    st.markdown(html_content, unsafe_allow_html=True)

if __name__ == "__main__":
    main()