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Update app.py
Browse files
app.py
CHANGED
@@ -76,9 +76,22 @@ def pdf_qa(query, memory, llm):
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return chain({"question": query})
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# --------------------------
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# Build the Gradio Interface
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# --------------------------
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with gr.Blocks() as demo:
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# Chatbot component with an initial greeting.
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chatbot = gr.Chatbot(
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label="Visualizador de futuros",
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@@ -99,7 +112,7 @@ with gr.Blocks() as demo:
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)
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msg = gr.Textbox(placeholder="Escribe aquí", label='')
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submit = gr.Button("Enviar")
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memory_state = gr.State(create_memory)
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# Create the ChatOpenAI model with streaming enabled and our custom callback.
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@@ -162,4 +175,4 @@ with gr.Blocks() as demo:
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msg.submit(user, [msg, chatbot, memory_state], [msg, chatbot, memory_state], queue=True)
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if __name__ == "__main__":
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demo.queue().launch()
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return chain({"question": query})
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# --------------------------
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# Build the Gradio Interface with custom CSS for the "Enviar" button.
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# --------------------------
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with gr.Blocks() as demo:
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# Inject custom CSS via HTML.
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gr.HTML(
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"""
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<style>
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/* Target the button inside the container with id "enviar_button" */
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#enviar_button button {
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background-color: #E50A17 !important;
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color: white !important;
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}
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</style>
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"""
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)
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# Chatbot component with an initial greeting.
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chatbot = gr.Chatbot(
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label="Visualizador de futuros",
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)
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msg = gr.Textbox(placeholder="Escribe aquí", label='')
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submit = gr.Button("Enviar", elem_id="enviar_button")
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memory_state = gr.State(create_memory)
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# Create the ChatOpenAI model with streaming enabled and our custom callback.
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msg.submit(user, [msg, chatbot, memory_state], [msg, chatbot, memory_state], queue=True)
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if __name__ == "__main__":
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demo.queue().launch()
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