启用选择

app.py

@@ -3,33 +3,30 @@ import os
 
 from langchain.chains.question_answering import load_qa_chain
 from langchain.document_loaders import UnstructuredURLLoader
-# from langchain import HuggingFaceHub
 from langchain import OpenAI
-
-# os.environ["HUGGINGFACEHUB_API_TOKEN"] = "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"
-
-# llm = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", model_kwargs={"temperature":0.1, "max_length":512})
-
-# os.environ["LANGCHAIN_TRACING_V2"] = "true"
-# 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"] = ''
-# os.environ['OPENAI_API_BASE'] = 'https://api.chatanywhere.com.cn'
+from langchain import HuggingFaceHub
+os.environ["HUGGINGFACEHUB_API_TOKEN"] = "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"
+os.environ["LANGCHAIN_TRACING_V2"] = "true"
+os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
+os.environ["LANGCHAIN_API_KEY"] = "ls__ae9b316f4ee9475b84f66c616344d713"
+os.environ["LANGCHAIN_PROJECT"] = "Sequential-Chain"
 
 
 def main():
-
-    input_api_key = gr.inputs.Textbox(label="API Key", lines=1)
-    input_api_base = gr.inputs.Textbox(label="API Base", lines=1)
+    input_checkbox = gr.inputs.Checkbox(label="启用ChatGPT")
+    input_api_key = gr.inputs.Textbox(label="ChatGPT API Key", lines=1)
+    input_api_base = gr.inputs.Textbox(label="ChatGPT API 地址（默认无地址）", 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 = gr.Interface(fn=my_inference_function, inputs=[input_checkbox, 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
-    llm=OpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=1024)
+def my_inference_function(enabled, api_key, api_base, url):
+    if enabled:
+      os.environ["OPENAI_API_KEY"] = api_key
+      os.environ['OPENAI_API_BASE'] = api_base
+      llm=OpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=1024)
+    else: 
+      llm = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", model_kwargs={"temperature":0.1, "max_length":512})
     loader = UnstructuredURLLoader(urls=[url])
     data = loader.load()
     chain = load_qa_chain(llm=llm, chain_type="stuff")