Spaces:
Sleeping
Sleeping
Commit ·
3908e5f
1
Parent(s): 9abd2f2
change for AI thinking
Browse files
app.py
CHANGED
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@@ -17,7 +17,19 @@ def respond(
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temperature,
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top_p,
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-
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for val in history:
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if val[0]:
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@@ -30,6 +42,8 @@ def respond(
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thinking_steps = []
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full_response = ""
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start_time = time.time()
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# Use chat completion instead of text generation
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for message in client.chat_completion(
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@@ -40,28 +54,48 @@ def respond(
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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if token:
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#
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thinking_steps.append(full_response)
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# Format with thinking history as HTML
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if thinking_steps:
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thinking_html = '<div class="thinking-wrapper"><details><summary>Show thinking process</summary><div class="thinking-steps">'
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for i, step in enumerate(thinking_steps):
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# Escape HTML to prevent rendering issues
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safe_step = html.escape(step)
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thinking_html += f'<div class="thinking-step">Step {i+1}: {safe_step}</div>'
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thinking_html += '</div></details></div>'
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# Yield both thinking and current response
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yield f"{thinking_html}{full_response}"
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else:
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yield full_response
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# Custom CSS for Plant Wisdom.AI styling
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temperature,
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top_p,
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):
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# Add a special instruction to the system message to prevent thinking out loud and repetition
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enhanced_system_message = system_message + """
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IMPORTANT INSTRUCTION: You must provide direct, authoritative answers based on your knowledge.
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DO NOT reveal your internal thinking process, planning, or self-questioning.
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DO NOT say phrases like "I need to figure out" or "I'll start by researching".
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DO NOT describe your approach to answering the question.
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DO NOT repeat yourself or get stuck in loops of similar content.
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Keep your response focused, structured, and concise.
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INSTEAD, provide concise, structured, and factual information directly.
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Answer as an authoritative expert with deep knowledge of Microsoft 365 services."""
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messages = [{"role": "system", "content": enhanced_system_message}]
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for val in history:
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if val[0]:
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thinking_steps = []
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full_response = ""
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start_time = time.time()
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repetition_count = 0
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last_segment = ""
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# Use chat completion instead of text generation
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for message in client.chat_completion(
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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if not token:
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continue
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# Check for repetition by comparing with previous chunk
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if len(full_response) > 100:
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last_100_chars = full_response[-100:]
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# If we find the same chunk repeating
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if last_100_chars in full_response[:-100] and last_100_chars.strip():
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repetition_count += 1
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# If we detect significant repetition, abort this generation
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if repetition_count > 2:
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# Trim off the repetitive part
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repetition_index = full_response.rfind(last_100_chars, 0, -100)
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if repetition_index > 0:
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full_response = full_response[:repetition_index] + "\n\n[Response trimmed to avoid repetition]"
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break
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full_response += token
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# Save thinking steps at intervals
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current_time = time.time()
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if current_time - start_time > 2 or len(full_response) % 150 == 0:
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start_time = current_time
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thinking_steps.append(full_response)
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# Store last segment for repetition detection
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if len(full_response) % 50 == 0:
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last_segment = full_response[-50:]
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# Format with thinking history as HTML
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if thinking_steps and len(thinking_steps) > 1: # Only show if we have multiple steps
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thinking_html = '<div class="thinking-wrapper"><details><summary>Show thinking process</summary><div class="thinking-steps">'
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for i, step in enumerate(thinking_steps[:-1]): # Exclude the current step
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# Escape HTML to prevent rendering issues
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safe_step = html.escape(step)
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thinking_html += f'<div class="thinking-step">Step {i+1}: {safe_step}</div>'
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thinking_html += '</div></details></div>'
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# Yield both thinking and current response
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yield f"{thinking_html}{full_response}"
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else:
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yield full_response
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# Custom CSS for Plant Wisdom.AI styling
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