Update Home.py
Browse files
Home.py
CHANGED
@@ -2,12 +2,12 @@ import streamlit as st
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from streamlit_option_menu import option_menu
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from transformers import pipeline, Conversation
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convo = pipeline(task="conversational", model="microsoft/DialoGPT-medium")
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imgclassifier = pipeline(model="microsoft/beit-base-patch16-224-pt22k-ft22k")
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qnabot = pipeline(task="question-answering", model="distilbert-base-cased-distilled-squad")
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txtgen = pipeline(task="text-generation", model="EleutherAI/gpt-neo-2.7B")
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txtclassifi = pipeline(task="text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
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summurize = pipeline(task="summarization", model="sshleifer/distilbart-cnn-12-6")
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visualqna = pipeline(task="vqa", model="microsoft/DialoGPT-medium")
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@@ -23,51 +23,51 @@ visualqna = pipeline(task="vqa", model="microsoft/DialoGPT-medium")
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# st.session_state.messages
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def chat():
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def image_classifi():
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def qna_bot():
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def txt_gen():
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def txt_classifi():
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def summury():
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def visual_qna():
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st.title("Visual Q&A")
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@@ -89,10 +89,10 @@ def dashboard():
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icons=['π¬','β', 'π', 'π€', 'πΌοΈ', 'π', 'π', 'π'])
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# if selected == 'Home':
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# homepage()
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if selected == '
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elif selected == "Image Classification":
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elif selected == 'Logout':
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st.session_state.user = None
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st.experimental_rerun()
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from streamlit_option_menu import option_menu
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from transformers import pipeline, Conversation
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# convo = pipeline(task="conversational", model="microsoft/DialoGPT-medium")
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# imgclassifier = pipeline(model="microsoft/beit-base-patch16-224-pt22k-ft22k")
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# qnabot = pipeline(task="question-answering", model="distilbert-base-cased-distilled-squad")
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# txtgen = pipeline(task="text-generation", model="EleutherAI/gpt-neo-2.7B")
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# txtclassifi = pipeline(task="text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
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# summurize = pipeline(task="summarization", model="sshleifer/distilbart-cnn-12-6")
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visualqna = pipeline(task="vqa", model="microsoft/DialoGPT-medium")
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# st.session_state.messages
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# def chat():
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# st.title("Chit-Chatbot")
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# if query := st.chat_input("Enter your message"):
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# uquery = Conversation(query)
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# response = convo(uquery)
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# with st.chat_message("assistant"):
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# st.write(response.generated_responses[-1])
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# def image_classifi():
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# st.title("Image Classification")
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# file = st.text_input("Enter Image URL")
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# output = imgclassifier(file)
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# if st.button("View Results"):
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# st.write(output)
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# def qna_bot():
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# st.title("Q&A-Chatbot")
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# if query := st.chat_input("Enter your message"):
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# response = qnabot(query)
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# with st.chat_message("assistant"):
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# st.write(response)
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# def txt_gen():
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# st.title("Text Generation")
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# if query := st.chat_input("Enter your message"):
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# response = txtgen(query)
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# with st.chat_message("assistant"):
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# st.write(response)
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# def txt_classifi():
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# st.title("Text Classification")
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# if query := st.chat_input("Enter your message"):
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# response = txtclassifi(query,)
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# with st.chat_message("assistant"):
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# st.write(response)
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# def summury():
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# st.title("Summury")
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# if query := st.chat_input("Enter your message"):
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# response = summurize(query, min_length=5, max_length=20)
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# with st.chat_message("assistant"):
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# st.write(response)
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def visual_qna():
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st.title("Visual Q&A")
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icons=['π¬','β', 'π', 'π€', 'πΌοΈ', 'π', 'π', 'π'])
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# if selected == 'Home':
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# homepage()
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if selected == 'Visual Q&A':
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visual_qna()
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# elif selected == "Image Classification":
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# image_classifi()
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elif selected == 'Logout':
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st.session_state.user = None
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st.experimental_rerun()
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