Update app.py
Browse files
app.py
CHANGED
@@ -135,7 +135,6 @@ os.environ["HUGGINGFACEHUB_API_TOKEN"] = HUGGINGFACEHUB_API_TOKEN
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##############################################
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#wenn löschen Button geklickt
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def clear_all():
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-
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return None, gr.Image(visible=False)
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##############################################
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@@ -532,7 +531,7 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
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result = rag_chain(llm, history_text_und_prompt, db)
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else:
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print("LLM aufrufen ohne RAG: ...........")
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result = llm_chain(llm, history_text_und_prompt)
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except Exception as e:
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raise gr.Error(e)
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@@ -712,7 +711,7 @@ with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
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# Chatbot
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transfer_input_args = dict(
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-
fn=add_text, inputs=[chatbot, history, user_input,
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)
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predict_event1 = user_input.submit(**transfer_input_args, queue=False,).then(**predict_args)
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##############################################
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#wenn löschen Button geklickt
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def clear_all():
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return None, gr.Image(visible=False)
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##############################################
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result = rag_chain(llm, history_text_und_prompt, db)
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else:
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print("LLM aufrufen ohne RAG: ...........")
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result = " Ein Text " #llm_chain(llm, history_text_und_prompt)
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except Exception as e:
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raise gr.Error(e)
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# Chatbot
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transfer_input_args = dict(
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fn=add_text, inputs=[chatbot, history, user_input, attached_file], outputs=[chatbot, history, user_question, user_input], show_progress=True
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)
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predict_event1 = user_input.submit(**transfer_input_args, queue=False,).then(**predict_args)
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