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Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -84,14 +84,6 @@ def reset_chat():
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reset_textbox()
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##########################################################
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#Übersetzungs Ki nutzen
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def translate():
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return "Kommt noch!"
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#Programmcode KI
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def coding():
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return "Kommt noch!"
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#######################################################################
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#Darstellung mit Gradio
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@@ -102,9 +94,9 @@ with open("custom.css", "r", encoding="utf-8") as f:
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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 -
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with gr.Tabs():
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with gr.TabItem("LI-
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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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@@ -129,7 +121,7 @@ with gr.Blocks(theme=small_and_beautiful_theme) as demo:
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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("#
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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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@@ -164,16 +156,6 @@ with gr.Blocks(theme=small_and_beautiful_theme) as demo:
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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.Textbox(
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show_label=False, placeholder="Ist noch in Arbeit..."
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).style(container=False)
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with gr.TabItem("Code-Generierungen"):
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with gr.Row():
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gr.Textbox(
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show_label=False, placeholder="Ist noch in Arbeit..."
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).style(container=False)
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predict_args = dict(
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fn=predict,
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@@ -213,6 +195,6 @@ with gr.Blocks(theme=small_and_beautiful_theme) as demo:
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)
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emptyBtn.click(**reset_args)
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demo.title = "LI
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#demo.queue(concurrency_count=1).launch(share=True)
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demo.queue(concurrency_count=1).launch(debug=True)
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reset_textbox()
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#######################################################################
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#Darstellung mit Gradio
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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 - hier um Programmcode generieren zu lassen!")
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with gr.Tabs():
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with gr.TabItem("LI-Coding-KI"):
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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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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("# Parameter für Testzwecke")
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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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)
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gr.Markdown(description)
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predict_args = dict(
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fn=predict,
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)
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emptyBtn.click(**reset_args)
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demo.title = "LI Coding KI"
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#demo.queue(concurrency_count=1).launch(share=True)
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demo.queue(concurrency_count=1).launch(debug=True)
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