initial commit

app.py

@@ -45,53 +45,24 @@ def flip_text(request, page_url, contraseña, temp):
 # define the gradio interface
 iface = gr.Interface(
     fn=flip_text,
-    inputs=[gr.Textbox(lines=1, placeholder="Enter your prompt here...", label="Prompt:", type="text"),
-            gr.Textbox(lines=1, placeholder="Enter the URL here...", label="URL to parse:", type="text"),
-            gr.Textbox(lines=1, placeholder="Enter your API-key here...", label="API-Key:", type="password"),
+    inputs=[gr.Textbox(lines=1, placeholder="분석하라:", label="프롬프트:", type="text"),
+            gr.Textbox(lines=1, placeholder="URL을 붙여 넣으세요: ", label="URL 붙여넣기:", type="text"),
+            gr.Textbox(lines=1, placeholder="승인된 API-key를 입력하세요.", label="API-Key:", type="password"),
             gr.Slider(0.0,1.0, value=0.3, label="Temperature:")
             ],
     outputs=[gr.Textbox(label="Input:"), gr.Textbox(label="Output:"), gr.Textbox(label="Tokens:")],
-    examples=[["Summarize the following text as a list:","https://blog.google/outreach-initiatives/google-org/our-commitment-on-using-ai-to-accelerate-progress-on-global-development-goals/","",0.3],
-            ["Generate a summary of the following text. Give me an overview of main business impact from the text following this template:\n- Summary:\n- Business Impact:\n- Companies:", "https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html","",0.7]
+    examples=[["기사를 요약하라:","http://korating.com/news/view.php?idx=7573","",0.7],
+            ["한글로 번역하라:\n- 요약:\n- 비즈니스 영향도:\n- 투자 가치:", "https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html","",0.7],
+            ["종목 분석 요약하라:","https://securities.miraeasset.com/bbs/board/message/view.do?messageId=2297456&messageNumber=492&messageCategoryId=0&startId=zzzzz%7E&startPage=1&curPage=1&searchType=2&searchText=&searchStartYear=2022&searchStartMonth=02&searchStartDay=01&searchEndYear=2023&searchEndMonth=02&searchEndDay=01&lastPageFlag=&vf_headerTitle=&categoryId=1545","",0.7]
     ],
-    title="Information Extraction with ChatGPT Interface:",
+    title="AI DEMO: 한글 및 다국어 지원 + ChatGPT + 멀티 모델 및 데이터셋 기반 응용 서비스",
     # description="This tool allows querying the text retrieved from the URL using OpenAI's [text-davinci-003] engine.\nThe URL text can be referenced in the prompt as \"following text\".\nA GPT2 tokenizer is included to ensure that the 2000 token limit for OpenAI queries is not exceeded. Provide a prompt with your request, the url for text retrieval, your api-key and temperature to process the text."
 )
 
-
-
 error_message = ""
 
 try:
     iface.launch()
 except Exception as e:
     error_message = "An error occurred: " + str(e)
-    iface.outputs[1].value = error_message
-
-
-
-
-def flip_image(x):
-    return np.fliplr(x)
-
-
-with gr.Blocks() as demo:
-    gr.Markdown("Flip text or image files using this demo.")
-    with gr.Tab("Flip Text"):
-        text_input = gr.Textbox()
-        text_output = gr.Textbox()
-        text_button = gr.Button("Flip")
-    with gr.Tab("Flip Image"):
-        with gr.Row():
-            image_input = gr.Image()
-            image_output = gr.Image()
-        image_button = gr.Button("Flip")
-
-    with gr.Accordion("Open for More!"):
-        gr.Markdown("Look at me...")
-
-    text_button.click(flip_text, inputs=text_input, outputs=text_output)
-    image_button.click(flip_image, inputs=image_input, outputs=image_output)
-    
-if __name__ == "__main__":
-    demo.launch()
+    iface.outputs[1].value = error_message