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Browse files- app.py +36 -0
- requirements.txt +5 -0
app.py
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import gradio as gr
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from webapp import webapp
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def add_text(history, text):
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history = history + [[text, None]]
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return history, gr.update(value="", interactive=False)
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def process_input(history):
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inp = history[-1][0]
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response = "I have received your input, which is: \n" + inp
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history[-1][1] = response
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return history
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with gr.Blocks() as demo:
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gr.Markdown('''
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## **CareerPal**
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here to ease your anxiety about your future
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''')
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with gr.Row():
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output_box = gr.Chatbot([[None, "Welcome! What can I help you with today?"]], show_label=False).style(height=450)
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with gr.Row(): # TODO: Box or Group instead of row?
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with gr.Column(scale=7):
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input_box = gr.Textbox(show_label=False, placeholder="Ask something here and press enter...").style(container=False)
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with gr.Column(scale=1):
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clear_btn = gr.Button(value="Clear")
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txt_msg = input_box.submit(add_text, inputs=[output_box, input_box], outputs=[output_box, input_box],
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queue=False).then(process_input, output_box, output_box)
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txt_msg.then(lambda: gr.update(interactive=True), inputs=None, outputs=input_box, queue=False)
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clear_btn.click(lambda: None, inputs=None, outputs=output_box, queue=False)
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demo.launch(server_port=7860, show_api=False, share=False) # , share = True, inline = True)
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# set FLASK_APP=app.py
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# flask run -h localhost -p 7860
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requirements.txt
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flask
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gradio
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torch
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transformers
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langchain
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