initial commit

app.py

@@ -43,25 +43,23 @@ def flip_text(request, page_url, contraseña, temp):
     return page.text, "--- Max number of tokens ---", num_tokens
 
 
-def greet(name):
-    return "Hello " + name + "!"
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-
-
 # define the gradio interface
 iface = gr.Interface(
     fn=flip_text,
     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:")
+            gr.Slider(0.0,1.0, value=0.7, label="Temperature:")
             ],
     outputs=[gr.Textbox(label="Input:"), gr.Textbox(label="Output:"), gr.Textbox(label="Tokens:")],
     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="AI: 한글 및 다국어 지원 + ChatGPT + 멀티 모델링 기반 응용 서비스",
+
+    <iframe src="https://huggingface.co/spaces/seawolf2357/PDF-text-extractor"></iframe>
+
+    title="한글 및 다국어 지원 + ChatGPT + 멀티 모델링 기반 응용 AI",
     # 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."
 )