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Update app.py
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app.py
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@@ -48,65 +48,13 @@ def bot_kadi(history):
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yield history
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# Gradio utils
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def check_input_text(text):
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if not text:
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gr.Warning("Please input a question.")
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raise TypeError
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return True
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def add_text(history, text):
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history = history + [(text, None)]
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yield history, ""
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import gradio as gr
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def main():
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with gr.Blocks() as demo:
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gr.Markdown("## KadiAPY - AI Coding-Assistant")
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gr.Markdown("AI assistant for KadiAPY based on RAG architecture powered by LLM")
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with gr.Tab("KadiAPY - AI Assistant"):
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with gr.Row():
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with gr.Column(scale=10):
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chatbot = gr.Chatbot([], elem_id="chatbot", label="Kadi Bot", bubble_full_width=False, show_copy_button=True, height=600)
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user_txt = gr.Textbox(label="Question", placeholder="Type in your question and press Enter or click Submit")
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with gr.Row():
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with gr.Column(scale=1):
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submit_btn = gr.Button("Submit", variant="primary")
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with gr.Column(scale=1):
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clear_btn = gr.Button("Clear", variant="stop")
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gr.Examples(
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examples=[
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"Write me a python script with which can convert plain JSON to a Kadi4Mat-compatible extra metadata structure",
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"I need a method to upload a file to a record. The id of the record is 3",
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],
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inputs=user_txt,
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outputs=chatbot,
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fn=add_text,
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label="Try asking...",
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cache_examples=False,
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examples_per_page=3,
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)
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user_txt.submit(check_input_text, user_txt, None).success(add_text, [chatbot, user_txt], [chatbot, user_txt]).then(bot_kadi, [chatbot], [chatbot])
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submit_btn.click(check_input_text, user_txt, None).success(add_text, [chatbot, user_txt], [chatbot, user_txt]).then(bot_kadi, [chatbot], [chatbot])
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clear_btn.click(lambda: None, None, chatbot, queue=False)
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demo.launch()
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import gradio as gr
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def add_text_to_chatbot(chat_history, user_input):
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if user_input:
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chat_history.append((
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response = "This is a placeholder response. Replace this with your AI logic."
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chat_history.append(("
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return chat_history, ""
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def main():
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yield history
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import gradio as gr
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def add_text_to_chatbot(chat_history, user_input):
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if user_input:
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chat_history.append((None, user_input))
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response = "This is a placeholder response. Replace this with your AI logic."
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chat_history.append(("response", None))
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return chat_history, ""
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def main():
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