functionalities
Browse files
Home.py
CHANGED
@@ -4,6 +4,11 @@ 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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# def homepage():
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@@ -19,6 +24,7 @@ imgclassifier = pipeline(model="microsoft/beit-base-patch16-224-pt22k-ft22k")
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def chat():
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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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@@ -27,29 +33,52 @@ def chat():
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def image_classifi():
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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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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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# def homepage():
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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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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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with st.sidebar:
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if img := st.text_input("Enter Image URL"):
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st.image(img)
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if query := st.chat_input("Enter your message"):
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response = visualqna(img, query)
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with st.chat_message("assistant"):
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st.write(response)
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