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Update app.py
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app.py
CHANGED
@@ -97,25 +97,21 @@ if input:
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model_answer = find_sentences("How can I extract information from invoices?")
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key_exists = False
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for key in link_dict:
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if key in model_answer:
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key_exists = True
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url = link_dict[key]
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response_templates = [f"I think that {model_answer} is the best task for this π€© Check out the page ππΌ {url}", f"I think you should use {model_answer} πͺ Check it out here ππΌ {url}", f"I think {model_answer} should work for you π€ Check out the page ππΌ {url}"]
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bot_answer = random.choice(response_templates)
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message_history.append({"text":bot_answer, "is_user" : False})
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if key_exists == False:
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fallback_template = ["I didn't get the question π§ Could you please ask again? Try 'What should I use for detecting masks in an image?'",
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"Hmm, not sure I know the answer, maybe you could ask differently? π€",
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"Sorry, I didn't understand you, maybe you could ask differently? π€ Try asking 'What should I use to extract name in a document' π€"]
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bot_answer = random.choice(fallback_template)
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message_history.append({"text":bot_answer, "is_user" : False})
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with placeholder.container():
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last_message = message_history[-1]
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model_answer = find_sentences("How can I extract information from invoices?")
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key_exists = False
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for key in link_dict:
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if key in model_answer:
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key_exists = True
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url = link_dict[key]
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response_templates = [f"I think that {model_answer} is the best task for this π€© Check out the page ππΌ {url}", f"I think you should use {model_answer} πͺ Check it out here ππΌ {url}", f"I think {model_answer} should work for you π€ Check out the page ππΌ {url}"]
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bot_answer = random.choice(response_templates)
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message_history.append({"text":bot_answer, "is_user" : False})
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if key_exists == False:
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fallback_template = ["I didn't get the question π§ Could you please ask again? Try 'What should I use for detecting masks in an image?'",
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"Hmm, not sure I know the answer, maybe you could ask differently? π€",
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"Sorry, I didn't understand you, maybe you could ask differently? π€ Try asking 'What should I use to extract name in a document' π€"]
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bot_answer = random.choice(fallback_template)
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message_history.append({"text":bot_answer, "is_user" : False})
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with placeholder.container():
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last_message = message_history[-1]
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