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Update app.py
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app.py
CHANGED
@@ -4,8 +4,6 @@ import time
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import openai
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import pandas as pd
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openai.api_key = ""
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openai_api_key_textbox = ""
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model = None
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@@ -13,11 +11,11 @@ tokenizer = None
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generator = None
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csv_name = "disease_database_mini.csv"
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df = pd.read_csv(csv_name)
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def csv_prompter(question,csv_name):
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fulltext = "A question is provided below. Given the question, extract " + \
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"keywords from the text. Focus on extracting the keywords that we can use " + \
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@@ -119,10 +117,7 @@ def csv_prompter(question,csv_name):
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with gr.Blocks() as demo:
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gr.Markdown("# Autonomous ChatDoctor (openai version), based on disease database knowledge")
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gr.Markdown("## Example: If I have frontal headache, fever, and painful sinuses, what disease should I have, and what medical test should I take?")
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show_label=False, lines=1, type='password')
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print(openai_api_key_textbox)
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chatbot = gr.Chatbot()
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msg = gr.Textbox()
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clear = gr.Button("Clear")
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import openai
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import pandas as pd
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openai_api_key_textbox = ""
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model = None
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generator = None
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csv_name = "disease_database_mini.csv"
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df = pd.read_csv(csv_name)
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openai.api_key = "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"
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def csv_prompter(question,csv_name):
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fulltext = "A question is provided below. Given the question, extract " + \
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"keywords from the text. Focus on extracting the keywords that we can use " + \
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with gr.Blocks() as demo:
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gr.Markdown("# Autonomous ChatDoctor (openai version), based on disease database knowledge")
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gr.Markdown("## Example: If I have frontal headache, fever, and painful sinuses, what disease should I have, and what medical test should I take?")
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+
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chatbot = gr.Chatbot()
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msg = gr.Textbox()
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clear = gr.Button("Clear")
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