Update app.py
Browse files
app.py
CHANGED
@@ -124,6 +124,11 @@ def query_model(question):
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response = generate_response(question, relevant_segment)
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return response
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# Define the welcome message and specific topics the chatbot can provide information about
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welcome_message = """
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## Albot AI-nstein is your AI-driven assistant, for all things AI.
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@@ -198,8 +203,8 @@ with gr.Blocks(theme=theme) as demo:
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submit_button = gr.Button("Submit!")
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answer = gr.Textbox(label="AI-nswer:", placeholder="Hello, World! \nAsk me anything about AI ML, and helpful tools you may want to use!", interactive=False, lines=10)
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submit_button.click(fn=query_model, inputs=question, outputs=answer)
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gr.Image("einy.png", container = False, show_share_button = False, show_download_button = False, label="output", show_label=True, elem_id="output_image", scale=0, width=500)
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-
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#def display_response(question):
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#response, confidence_score = query_model(question)
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response = generate_response(question, relevant_segment)
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return response
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link_int=random.randint(0,6)
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links=["https://chatgpt.com/","https://www.grammarly.com/","https://www.any.do/","https://scheduler.ai/","https://huggingface.co/spaces/MukBot/MukBot","https://huggingface.co/spaces/CalmConnect/calm-connect","https://chatgpt.com/g/g-3DGi2iLag-scholargpt","https://chatgpt.com/g/g-E7eSRUHy6-travel-guide"]
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def open_link():
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return gr.HTML('<a href="'+links[link_int]+'" target="_blank">I'm Feeling Tech-y!</a>')
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# Define the welcome message and specific topics the chatbot can provide information about
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welcome_message = """
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## Albot AI-nstein is your AI-driven assistant, for all things AI.
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submit_button = gr.Button("Submit!")
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answer = gr.Textbox(label="AI-nswer:", placeholder="Hello, World! \nAsk me anything about AI ML, and helpful tools you may want to use!", interactive=False, lines=10)
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submit_button.click(fn=query_model, inputs=question, outputs=answer)
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portal_button = gr.Image("einy.png", container = False, show_share_button = False, show_download_button = False, label="output", show_label=True, elem_id="output_image", scale=0, width=500)
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portal_button.click(fn=open_link, inputs=[], outputs="html")
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#def display_response(question):
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#response, confidence_score = query_model(question)
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