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Runtime error
Update app.py
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app.py
CHANGED
@@ -141,7 +141,7 @@ def add_text(history, prompt, file):
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else:
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history = history + [((file.name,), None), (prompt, None)]
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return history, prompt, "", gr.File( label=None, interactive=False, height=20, min_width=20, visible=False, scale=2) #gr.Textbox(value="", interactive=False)
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def add_file(history, file, prompt):
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if (prompt == ""):
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@@ -323,6 +323,9 @@ def generate_prompt_with_history_openai(prompt, history):
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history_openai_format.append({"role": "assistant", "content":assistant})
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history_openai_format.append({"role": "user", "content": prompt})
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return history_openai_format
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#Prompt und History für Hugging Face Schnittstelle
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@@ -380,7 +383,7 @@ def umwandeln_fuer_anzeige(image):
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image.save(buffer, format='PNG')
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return buffer.getvalue()
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def generate_auswahl(prompt, file, history, rag_option, model_option, openai_api_key, k=3, top_p=0.6, temperature=0.5, max_new_tokens=4048, max_context_length_tokens=2048, repetition_penalty=1.3,):
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if (prompt.find('zeichnen') != -1):
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response = generate_bild(prompt)
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result = response.content
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@@ -394,10 +397,10 @@ def generate_auswahl(prompt, file, history, rag_option, model_option, openai_api
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else:
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result = generate_text(prompt, file, history, rag_option, model_option, openai_api_key, k=3, top_p=0.6, temperature=0.5, max_new_tokens=4048, max_context_length_tokens=2048, repetition_penalty=1.3,)
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#Antwort als Stream ausgeben... wenn Textantwort gefordert
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print("history vor Zusatz...........")
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print(history)
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history[-1][1] = result
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"""
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for character in result:
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history[-1][1] += character
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@@ -417,7 +420,7 @@ def generate_bild(prompt):
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print("fertig Bild")
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return response
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def generate_text (prompt, file, history, rag_option, model_option, openai_api_key, k=3, top_p=0.6, temperature=0.5, max_new_tokens=4048, max_context_length_tokens=2048, repetition_penalty=1.3,):
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global splittet
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print(splittet)
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@@ -586,7 +589,7 @@ with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
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user_question,
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upload,
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chatbot,
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rag_option,
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model_option,
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openai_key,
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@@ -597,7 +600,7 @@ with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
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max_context_length_tokens,
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repetition_penalty
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],
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outputs=[chatbot, status_display], #[chatbot, history, status_display]
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show_progress=True,
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postprocess=False
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)
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else:
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history = history + [((file.name,), None), (prompt, None)]
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return history, history, prompt, "", gr.File( label=None, interactive=False, height=20, min_width=20, visible=False, scale=2) #gr.Textbox(value="", interactive=False)
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def add_file(history, file, prompt):
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if (prompt == ""):
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history_openai_format.append({"role": "assistant", "content":assistant})
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history_openai_format.append({"role": "user", "content": prompt})
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print("openai history und prompt................")
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print(history_openai_format)
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print (history_openai_format)
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return history_openai_format
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#Prompt und History für Hugging Face Schnittstelle
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image.save(buffer, format='PNG')
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return buffer.getvalue()
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def generate_auswahl(prompt, file, chatbot, history, rag_option, model_option, openai_api_key, k=3, top_p=0.6, temperature=0.5, max_new_tokens=4048, max_context_length_tokens=2048, repetition_penalty=1.3,):
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if (prompt.find('zeichnen') != -1):
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response = generate_bild(prompt)
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result = response.content
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else:
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result = generate_text(prompt, file, history, rag_option, model_option, openai_api_key, k=3, top_p=0.6, temperature=0.5, max_new_tokens=4048, max_context_length_tokens=2048, repetition_penalty=1.3,)
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#Antwort als Stream ausgeben... wenn Textantwort gefordert
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history[-1][1] = result
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print("history nach Zusatz und mit KI Antwort...........")
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print(history)
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return history, history, "Success"
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"""
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for character in result:
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history[-1][1] += character
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print("fertig Bild")
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return response
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def generate_text (prompt, file, chatbot, history, rag_option, model_option, openai_api_key, k=3, top_p=0.6, temperature=0.5, max_new_tokens=4048, max_context_length_tokens=2048, repetition_penalty=1.3,):
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global splittet
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print(splittet)
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user_question,
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upload,
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chatbot,
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history,
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rag_option,
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model_option,
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openai_key,
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max_context_length_tokens,
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repetition_penalty
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],
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outputs=[chatbot, history, status_display], #[chatbot, history, status_display]
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show_progress=True,
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postprocess=False
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)
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