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Update app.py
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app.py
CHANGED
@@ -86,65 +86,75 @@ def reset_chat():
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with gr.Blocks(theme=small_and_beautiful_theme) as demo:
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history = gr.State([])
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user_question = gr.State("")
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predict_args = dict(
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fn=predict,
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inputs=[
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@@ -159,21 +169,21 @@ with gr.Blocks(theme=small_and_beautiful_theme) as demo:
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outputs=[chatbotGr, history, status_display],
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show_progress=True,
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)
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#neuer Chat
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reset_args = dict(
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fn=reset_chat, inputs=[], outputs=[user_input, status_display]
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)
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# Chatbot
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transfer_input_args = dict(
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fn=transfer_input, inputs=[user_input], outputs=[user_question, user_input, submitBtn], show_progress=True
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)
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#Listener auf Start-Click auf Button oder Return
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predict_event1 = user_input.submit(**transfer_input_args).then(**predict_args)
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predict_event2 = submitBtn.click(**transfer_input_args).then(**predict_args)
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#Listener, Wenn reset...
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emptyBtn.click(
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reset_state,
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with gr.Blocks(theme=small_and_beautiful_theme) as demo:
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history = gr.State([])
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user_question = gr.State("")
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gr.Markdown("KIs am LI - wähle aus, was du mahen möchtest!")
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with gr.Tabs():
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with gr.TabItem("LI-Chat"):
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with gr.Row():
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gr.HTML(title)
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status_display = gr.Markdown("Erfolg", elem_id="status_display")
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gr.Markdown(description_top)
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with gr.Row(scale=1).style(equal_height=True):
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with gr.Column(scale=5):
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with gr.Row(scale=1):
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chatbotGr = gr.Chatbot(elem_id="LI_chatbot").style(height="100%")
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with gr.Row(scale=1):
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with gr.Column(scale=12):
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user_input = gr.Textbox(
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show_label=False, placeholder="Gib deinen Text / Frage ein."
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).style(container=False)
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with gr.Column(min_width=90, scale=1):
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submitBtn = gr.Button("Absenden")
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with gr.Column(min_width=90, scale=1):
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cancelBtn = gr.Button("Stoppen")
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with gr.Row(scale=1):
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emptyBtn = gr.Button(
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"🧹 Neuer Chat",
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)
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with gr.Column():
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with gr.Column(min_width=50, scale=1):
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with gr.Tab(label="Parameter zum Model"):
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gr.Markdown("# Parameters")
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top_p = gr.Slider(
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minimum=-0,
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maximum=1.0,
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value=0.95,
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step=0.05,
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interactive=True,
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label="Top-p",
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)
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temperature = gr.Slider(
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minimum=0.1,
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maximum=2.0,
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value=1,
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step=0.1,
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interactive=True,
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label="Temperature",
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)
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max_length_tokens = gr.Slider(
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minimum=0,
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maximum=512,
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value=512,
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step=8,
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interactive=True,
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label="Max Generation Tokens",
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)
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max_context_length_tokens = gr.Slider(
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minimum=0,
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maximum=4096,
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value=2048,
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step=128,
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interactive=True,
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label="Max History Tokens",
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)
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gr.Markdown(description)
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with gr.TabItem("Übersetzungen"):
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with gr.Row():
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gr.HTML("Hier entsteht ein Übersetzer mit KI...")
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with gr.TabItem("Code-genereierungen"):
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with gr.Row():
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gr.HTML("Hier entsteht eine KI zum Programmieren...")
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predict_args = dict(
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fn=predict,
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inputs=[
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outputs=[chatbotGr, history, status_display],
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show_progress=True,
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)
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#neuer Chat
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reset_args = dict(
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fn=reset_chat, inputs=[], outputs=[user_input, status_display]
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)
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# Chatbot
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transfer_input_args = dict(
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fn=transfer_input, inputs=[user_input], outputs=[user_question, user_input, submitBtn], show_progress=True
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)
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#Listener auf Start-Click auf Button oder Return
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predict_event1 = user_input.submit(**transfer_input_args).then(**predict_args)
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predict_event2 = submitBtn.click(**transfer_input_args).then(**predict_args)
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#Listener, Wenn reset...
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emptyBtn.click(
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reset_state,
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