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Update app.py
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app.py
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@@ -8,26 +8,33 @@ import sys
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from IPython.display import Markdown, display
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def construct_index(directory_path):
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max_input_size = 4096
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num_outputs = 2000
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max_chunk_overlap = 20
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chunk_size_limit = 600
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llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
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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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def ask_ai(question,
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os.environ["OPENAI_API_KEY"] = api_key
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index = GPTSimpleVectorIndex.load_from_disk('index.json')
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response = index.query(question, response_mode="compact")
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return response.response
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chatbot_interface("") # start interface with empty api key as default value
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from IPython.display import Markdown, display
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def construct_index(directory_path):
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max_input_size = 4096
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num_outputs = 2000
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max_chunk_overlap = 20
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chunk_size_limit = 600
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llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
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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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def ask_ai(question,api):
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index = GPTSimpleVectorIndex.load_from_disk('index.json')
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response = index.query(question, response_mode="compact")
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return response.response
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os.environ["OPENAI_API_KEY"] = "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"
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construct_index("data")
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api_key = gr.inputs.Textbox(label="OpenAI API Key")
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iface = gr.Interface(fn=ask_ai, inputs=["text", api_key], outputs="text", title="Chatbot")
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iface.launch()
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