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Update app.py
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app.py
CHANGED
@@ -6,6 +6,8 @@ import sys
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import os
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from IPython.display import Markdown, display
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def construct_index(directory_path):
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# set maximum input size
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@@ -29,34 +31,20 @@ def construct_index(directory_path):
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return index
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'''
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def ask_ai():
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index = GPTSimpleVectorIndex.load_from_disk('index.json')
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while True:
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query = input("What do you want to ask? ")
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response = index.query(query, response_mode="compact")
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display(Markdown(f"Response: <b>{response.response}</b>"))
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'''
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# Define the ask_ai() function
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def ask_ai(question,api):
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if api == "":
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api = "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"
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os.environ["OPENAI_API_KEY"] = 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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construct_index("data")
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# Create Gradio interface to prompt for API key
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# Define the interface
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iface = gr.Interface(fn=ask_ai, inputs=["text",
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# Start the interface
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iface.launch()
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import os
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from IPython.display import Markdown, display
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# Define API key globally
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api_key = "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"
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def construct_index(directory_path):
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# set maximum input size
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return index
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def ask_ai(question, api_key):
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# Use global API key variable
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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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construct_index("data")
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# Create Gradio interface to prompt for API key
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api_key_input = gr.inputs.Textbox(label="Enter your OpenAI API key:")
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# Define the interface
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iface = gr.Interface(fn=ask_ai, inputs=["text", api_key_input], outputs="text" ,title="Jim's Chatbot")
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# Start the interface
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iface.launch()
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