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Update app.py
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app.py
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@@ -19,8 +19,6 @@ from llama_index.indices.vector_store.base import GPTVectorStoreIndex
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from adlfs import AzureBlobFileSystem
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import time
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def ask_ai(doc,message):
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return message
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header = """<center><b><p style=\"color: #E13C32; font-size: 36px;\">My Ardian Chatbot</p></b></center>
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<i><p style=\"font-size: 16px; color: grey;\">Please make sure to formulate clear and precise questions and to add contextual information when possible. This will help the tool produce the most relevant response. Adopt an iterative approach and ask for more details or explanations when necessary.</br><i/></p>"""
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@@ -34,23 +32,10 @@ theme = gr.themes.Base(
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with gr.Blocks(theme=theme) as demo:
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gr.Markdown(header)
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question = gr.Textbox(label='Question', info="Please write your question here.")
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clear = gr.Button("Clear")
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def respond(message, chat_history, doc):
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bot_message = ask_ai(doc, message)
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chat_history.append((message, bot_message))
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time.sleep(2)
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return "", chat_history
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clear.click(lambda: None, None, chatbot, queue=False)
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gr.Markdown(footnote)
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demo.launch()
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from adlfs import AzureBlobFileSystem
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import time
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header = """<center><b><p style=\"color: #E13C32; font-size: 36px;\">My Ardian Chatbot</p></b></center>
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<i><p style=\"font-size: 16px; color: grey;\">Please make sure to formulate clear and precise questions and to add contextual information when possible. This will help the tool produce the most relevant response. Adopt an iterative approach and ask for more details or explanations when necessary.</br><i/></p>"""
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)
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def to_uppercase(text):
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return text.upper()
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iface = gr.Interface(fn=uppercto_ase, inputs="text", outputs="text")
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iface.launch()
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