更新布局

app.py

@@ -1,4 +1,4 @@
-import gradio
+import gradio as gr
 import os
 
 from langchain.chains.question_answering import load_qa_chain
@@ -14,35 +14,33 @@ from langchain import OpenAI
 # os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
 # os.environ["LANGCHAIN_API_KEY"] = "ls__ae9b316f4ee9475b84f66c616344d713"
 # os.environ["LANGCHAIN_PROJECT"] = "Sequential-Chain"
-
-os.environ["OPENAI_API_KEY"] = 'sk-siyoMOttFuCrzfdETrRFS7bz140Dk5DUklCIW3UyVTzooiKj'
-os.environ['OPENAI_API_BASE'] = 'https://api.chatanywhere.com.cn'
+# os.environ["OPENAI_API_KEY"] = 'sk-siyoMOttFuCrzfdETrRFS7bz140Dk5DUklCIW3UyVTzooiKj'
+# os.environ['OPENAI_API_BASE'] = 'https://api.chatanywhere.com.cn'
 
 llm=OpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=1024)
 
 def main():
 
-    gradio_interface = gradio.Interface(
-    fn = my_inference_function,
-    inputs = "text",
-    outputs = "text")
-
+    input_api_key = gr.inputs.Textbox(label="API Key", lines=1)
+    input_api_base = gr.inputs.Textbox(label="API Base", lines=1)
+    input_url = gr.inputs.Textbox(label="URL", lines=1)
+    gradio_interface = gr.Interface(fn=my_inference_function, inputs=[input_api_key, input_api_base, input_url], outputs="text")
     gradio_interface.launch()
 
+def my_inference_function(api_key, api_base, url):
+    os.environ["OPENAI_API_KEY"] = api_key
+    os.environ['OPENAI_API_BASE'] = api_base
 
-def my_inference_function(url):
-  loader = UnstructuredURLLoader(urls=[url])
-  data = loader.load()
-  chain = load_qa_chain(llm=llm, chain_type="stuff")
-  # response = chain.run(input_documents=data, question="Summarize this article in a paragraph and provide a name and link")
-  # Please summarize the content of the article in 50 words in Chinese. 
-  response = chain.run(input_documents=data, question="""请用中文总结文章的内容，并以下面模版给出结果：
+    loader = UnstructuredURLLoader(urls=[url])
+    data = loader.load()
+    chain = load_qa_chain(llm=llm, chain_type="stuff")
+    response = chain.run(input_documents=data, question="""请用中文总结文章的内容，并以下面模版给出结果：
 《文章标题》摘要如下：
 ## 一句话描述
 文章摘要内容
 ## 文章略读
 文章要点""")
-  return response
+    return response
 
 if __name__ == '__main__':
     main()