Spaces:
Sleeping
Sleeping
Force full reasoning chain with prefilled assistant start
Browse files
app.py
CHANGED
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@@ -10,32 +10,39 @@ client = InferenceClient(token=HF_TOKEN)
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MODEL = "Qwen/Qwen2.5-72B-Instruct"
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SYSTEM_PROMPT = """You are DeepMed-R1, a medical reasoning AI
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<think>
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## Information Analysis
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[Extract key
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## Differential Diagnosis
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[List possible diagnoses ranked by probability]
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## Pathophysiology
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[Explain the disease mechanism
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## Evidence-Based Reasoning
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[
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##
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</think>
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[Your clinical assessment in 2-3 sentences]
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\\boxed{X}
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EXAMPLES = [
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@@ -53,11 +60,11 @@ def respond(message, history):
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if h[0]: messages.append({"role": "user", "content": h[0]})
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if h[1]: messages.append({"role": "assistant", "content": h[1]})
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messages.append({"role": "
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response = ""
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try:
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stream = client.chat_completion(
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model=MODEL,
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@@ -74,7 +81,7 @@ def respond(message, history):
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response += delta.content
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yield response
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except Exception as e:
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if not response:
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yield f"⚠️ Error: {str(e)}"
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else:
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yield response
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MODEL = "Qwen/Qwen2.5-72B-Instruct"
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SYSTEM_PROMPT = """You are DeepMed-R1, a medical reasoning AI trained with GRPO on AMD MI300X.
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You ALWAYS respond in this EXACT format — no exceptions:
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<think>
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## 1. Information Analysis
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[Extract ALL key clinical features: age, sex, history, symptoms, vitals, labs, imaging]
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## 2. Differential Diagnosis
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[List 3-5 possible diagnoses ranked by probability with brief justification]
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## 3. Pathophysiology
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[Explain the underlying disease mechanism for the most likely diagnosis]
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## 4. Evidence-Based Reasoning
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[Reference clinical criteria, guidelines, or classic presentations]
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## 5. Option-by-Option Elimination
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- A. [option text] → [why correct or incorrect]
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- B. [option text] → [why correct or incorrect]
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- C. [option text] → [why correct or incorrect]
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- D. [option text] → [why correct or incorrect]
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</think>
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**Assessment:** [2-3 sentence clinical conclusion]
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**Final Answer:** \\boxed{X}
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Rules:
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- The <think> section MUST appear FIRST and contain ALL 5 numbered sections
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- Each section must have at least 2-3 sentences of clinical detail
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- Be specific: name diseases, mechanisms, criteria by proper medical terms
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- The reasoning must JUSTIFY the final answer logically"""
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EXAMPLES = [
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if h[0]: messages.append({"role": "user", "content": h[0]})
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if h[1]: messages.append({"role": "assistant", "content": h[1]})
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messages.append({"role": "user", "content": message})
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# Prefill the assistant response to force it to start with <think>
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messages.append({"role": "assistant", "content": "<think>\n## 1. Information Analysis\n"})
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response = "<think>\n## 1. Information Analysis\n"
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try:
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stream = client.chat_completion(
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model=MODEL,
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response += delta.content
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yield response
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except Exception as e:
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if not response or response == "<think>\n## 1. Information Analysis\n":
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yield f"⚠️ Error: {str(e)}"
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else:
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yield response
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