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Update app.py
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app.py
CHANGED
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@@ -105,7 +105,7 @@ def get_response(system_message, chat_history, user_text, max_new_tokens=512):
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"""
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sentiment = analyze_sentiment(user_text)
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action = predict_action(user_text)
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-
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# Extract style instruction if present
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style_instruction = ""
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lower_text = user_text.lower()
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@@ -141,32 +141,34 @@ def get_response(system_message, chat_history, user_text, max_new_tokens=512):
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"AI: Please provide a detailed explanation in depth. "
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"Ensure your response covers the topic thoroughly and is written in a friendly, conversational style, "
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"starting with a phrase like 'Certainly!', 'Of course!', or 'Great question!'."
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"Answer exclusively in English, and do not include extra commentary."+ style_clause +
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"\nHAL:"
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)
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)
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chat = prompt | hf.bind(skip_prompt=True) | StrOutputParser(output_key='content')
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response = chat.invoke(input=dict(system_message=system_message, user_text=user_text, chat_history=filtered_history))
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# Remove any extra markers if present.
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response = response.split("HAL:")[-1].strip()
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# Fallback in case the generated answer is empty
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if not response:
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response = "Certainly, here is an in-depth explanation: [Fallback explanation]."
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chat_history.append({'role': 'user', 'content': user_text})
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chat_history.append({'role': 'assistant', 'content': response})
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if sentiment == "NEGATIVE" and not user_text.strip().endswith("?"):
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response = "I'm sorry you're feeling this way. I'm here to help. What can I do to assist you further?"
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chat_history[-1]['content'] = response
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return response, follow_up, chat_history, None
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# --- Chat UI ---
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st.title("π HAL - Your NASA AI Assistant")
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st.markdown("π *Ask me about space, NASA, and beyond!*")
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"""
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sentiment = analyze_sentiment(user_text)
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action = predict_action(user_text)
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+
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# Extract style instruction if present
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style_instruction = ""
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lower_text = user_text.lower()
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"AI: Please provide a detailed explanation in depth. "
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"Ensure your response covers the topic thoroughly and is written in a friendly, conversational style, "
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"starting with a phrase like 'Certainly!', 'Of course!', or 'Great question!'."
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+
"Answer exclusively in English, and do not include extra commentary." + style_clause +
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"\nHAL:"
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)
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)
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chat = prompt | hf.bind(skip_prompt=True) | StrOutputParser(output_key='content')
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response = chat.invoke(input=dict(system_message=system_message, user_text=user_text, chat_history=filtered_history))
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response = response.split("HAL:")[-1].strip()
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+
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# Fallback in case the generated answer is empty
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if not response:
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response = "Certainly, here is an in-depth explanation: [Fallback explanation]."
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+
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chat_history.append({'role': 'user', 'content': user_text})
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chat_history.append({'role': 'assistant', 'content': response})
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# π FIX: Only override if strongly negative and NOT a question
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if sentiment == "NEGATIVE" and not user_text.strip().endswith("?"):
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response = "I'm sorry you're feeling this way. I'm here to help. What can I do to assist you further?"
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chat_history[-1]['content'] = response
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follow_up = None # π¨ Don't generate follow-up if negative sentiment triggers a different message
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else:
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follow_up = generate_follow_up(user_text)
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chat_history.append({'role': 'assistant', 'content': follow_up})
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return response, follow_up, chat_history, None
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+
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# --- Chat UI ---
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st.title("π HAL - Your NASA AI Assistant")
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st.markdown("π *Ask me about space, NASA, and beyond!*")
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