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8e5403e
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1eb359e
Create app.py
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app.py
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import gradio as gr
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from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
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from langchain import OpenAI
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import sys
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import os
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directory_path = ''
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os.environ["OPENAI_API_KEY"] = ''
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def construct_index():
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# set maximum input size
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max_input_size = 4096
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# set number of output tokens
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num_outputs = 256
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# set maximum chunk overlap
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max_chunk_overlap = 20
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# set chunk size limit
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chunk_size_limit = 600
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prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
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llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="text-ada-001", max_tokens=num_outputs))
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documents = SimpleDirectoryReader(directory_path).load_data()
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index = GPTSimpleVectorIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper)
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index.save_to_disk('index.json')
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return index
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def chatbot_response(query_input, chat_history=[]):
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index = construct_index()
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response = index.query(query_input, response_mode="compact")
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chat_history.append(("You:\n", query_input))
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chat_history.append(("Bot:", response.response))
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chat_history_text = "\n\n".join(["{}{}".format(item[0], item[1]) for item in chat_history[-9:-1]])
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response_text = f"{chat_history_text} \n\nBot:{response.response}"
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return response_text
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chat_history = []
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query_input = gr.Textbox(label="What do you want to ask the bot?")
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output_text = gr.Textbox(label="Bot Response and Chat History")
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def get_chatbot_response(query_input):
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global chat_history
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response_text = chatbot_response(query_input, chat_history)
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# chat_history = chat_history[-10:-1]
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return response_text
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interface = gr.Interface(
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fn=get_chatbot_response,
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inputs=query_input,
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outputs=output_text,
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title="Chatbot",
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description="Ask the bot any question and it will give you a response.",
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examples=["What are some popular tourist destinations in Europe?","What are some famous landmarks in Paris?","What can visitors do in Rome, Italy?","What are some must-see sights in Rome?"],
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)
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interface.launch()
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