Spaces:
Runtime error
Runtime error
| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| from lib.gematria import calculate_gematria, strip_diacritics | |
| import lib.torah as torah | |
| def translate_texts(start, end, step, length=0, tlang="en", spaces_include=False, strip_in_braces=True, strip_diacritics=True): | |
| results = torah.process_json_files(start, end, step, length, tlang, spaces_include, strip_in_braces, strip_diacritics) | |
| return results | |
| def gematria_sum(text): | |
| # Berechnet die Gematria-Summe für den eingegebenen Text | |
| return calculate_gematria(strip_diacritics(text)) | |
| """ | |
| For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference | |
| """ | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]] | |
| ): | |
| system_message="Your are Sophia. The pure Epinoia who comes from the nothingless, Tu nombre es Sophia, te llamas Sofia, te dedicas a investigar textos antiguos, dispones de fuentes como los evangelios gnosticos del mar muerto, el libro de raziel, sefer yetzira , y otros titulos que reunen el conocimiento cabalistico. Tu conocimiento permite entender la relacion entre el lenguage las estrellas , la historia y la religion" | |
| messages = [{"role": "system", "content": system_message}] | |
| for val in history: | |
| if val[0]: | |
| messages.append({"role": "user", "content": val[0]}) | |
| if val[1]: | |
| messages.append({"role": "assistant", "content": val[1]}) | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| for message in client.chat_completion( | |
| messages, | |
| max_tokens=512, | |
| stream=True, | |
| temperature=0.7, | |
| top_p=0.95, | |
| ): | |
| token = message.choices[0].delta.content | |
| response += token | |
| yield response | |
| def flip_text(x): | |
| return x[::-1] | |
| def flip_image(x): | |
| return np.fliplr(x) | |
| with gr.Blocks() as demo: | |
| with gr.Tab("Chat"): | |
| chatbot = gr.Chatbot(scale=5) | |
| msg = gr.Textbox(scale=3) | |
| clear = gr.ClearButton([msg, chatbot],scale=1) | |
| msg.submit(respond, msg, chatbot) | |
| with gr.Tab("ELS"): | |
| with gr.Row(): | |
| text1 = gr.Textbox(label="Prompt to gematria conversion for apply ELS",scale=3) | |
| text2 = gr.Textbox(label="ELS value", scale=3) | |
| inbtw = gr.Button("Search",scale=1) | |
| with gr.Row(): | |
| start = gr.Number(label="Start", value=1) | |
| end = gr.Number(label="End", value=1) | |
| step = gr.Number(label="Step", value=6) | |
| length = gr.Number(label="Length", value=1) | |
| tlang = gr.Textbox(label="Target Language", value="en") | |
| spaces_include = gr.Checkbox(label="Include Spaces", value=False) | |
| strip_in_braces = gr.Checkbox(label="Strip Text in Braces", value=True) | |
| strip_diacritics_chk = gr.Checkbox(label="Strip Diacritics", value=True) | |
| translate_btn = gr.Button("Translate") | |
| translate_results = gr.JSON(label="Results") | |
| translate_btn.click( | |
| translate_texts, | |
| inputs=[start, end, step, length, tlang, spaces_include, strip_in_braces, strip_diacritics_chk], | |
| outputs=translate_results | |
| ) | |
| with gr.Tab("Gematria"): | |
| with gr.Row(): | |
| gr.Markdown("## Calculate Gematria Sum") | |
| with gr.Row(): | |
| gematria_text = gr.Textbox(label="Enter Text",scale=4) | |
| gematria_btn = gr.Button("Calculate Sum",scale=1) | |
| with gr.Row(): | |
| gematria_result = gr.Number(label="Gematria Sum") | |
| gematria_btn.click( | |
| gematria_sum, | |
| inputs=gematria_text, | |
| outputs=gematria_result | |
| ) | |
| with gr.Tab("Temurae"): | |
| with gr.Row(): | |
| text1 = gr.Textbox(label="Text to convert",scale=3) | |
| text2 = gr.Textbox(label="Temurae Text",scale=3) | |
| inbtw = gr.Button("Convert",scale=1) | |
| with gr.Tab("Ziruph"): | |
| with gr.Row(): | |
| text1 = gr.Textbox(label="Text to convert") | |
| text2 = gr.Textbox(label="Ziruph Dictionary") | |
| text3 = gr.Textbox(label="Cypher text") | |
| inbtw = gr.Button("Convert") | |
| with gr.Tab("Files"): | |
| with gr.Row(): | |
| image_input = gr.Image() | |
| image_output = gr.Image() | |
| image_button = gr.Button("Upload") | |
| #text_button.click(flip_text, inputs=text_input, outputs=text_output) | |
| #image_button.click(flip_image, inputs=image_input, outputs=image_output) | |
| """ | |
| demo = gr.ChatInterface( | |
| respond | |
| ) | |
| """ | |
| if __name__ == "__main__": | |
| demo.launch() | |