Spaces:
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update
Browse files
app.py
CHANGED
@@ -17,28 +17,28 @@ from langchain.schema import SystemMessage
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import urllib
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urllib.request.urlretrieve(
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template_messages = [
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]
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prompt_template = ChatPromptTemplate.from_messages(template_messages)
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llm = LlamaCpp(
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)
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model = Llama2Chat(llm=llm)
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memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
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chain = LLMChain(llm=model, prompt=prompt_template, memory=memory)
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def add_text(history, text):
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@@ -60,7 +60,8 @@ def bot(history):
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def infer(question):
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result = chain.run(text=question).strip()
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print(result)
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return result
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@@ -81,7 +82,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.HTML(title)
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chatbot = gr.Chatbot([], elem_id="chatbot")
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question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter ")
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submit_btn = gr.Button("Send Message")
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import urllib
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# urllib.request.urlretrieve(
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# "https://huggingface.co/hfl/chinese-alpaca-2-7b-rlhf-gguf/resolve/main/ggml-model-q6_k.gguf?download=true",
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# "ggml-model-q6_k.gguf"
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# )
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# template_messages = [
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# SystemMessage(content="你是一名软件工程师,你的名字叫做贺英旭。请你以这个身份回答以下问题!"),
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# MessagesPlaceholder(variable_name="chat_history"),
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# HumanMessagePromptTemplate.from_template("{text}"),
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# ]
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# prompt_template = ChatPromptTemplate.from_messages(template_messages)
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# llm = LlamaCpp(
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# model_path="ggml-model-q6_k.gguf",
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# temperature=0.75,
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# max_tokens=64
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# )
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# model = Llama2Chat(llm=llm)
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# memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
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# chain = LLMChain(llm=model, prompt=prompt_template, memory=memory)
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def add_text(history, text):
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def infer(question):
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# result = chain.run(text=question).strip()
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result = "123123123123"
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print(result)
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return result
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with gr.Column(elem_id="col-container"):
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gr.HTML(title)
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chatbot = gr.Chatbot([], elem_id="chatbot")
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question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter ")
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submit_btn = gr.Button("Send Message")
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