ahmednoorx commited on
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4147430
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1 Parent(s): f091a8d

Update email_gen.py

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  1. email_gen.py +2 -42
email_gen.py CHANGED
@@ -393,48 +393,8 @@ Return ONLY this JSON format:
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  def generate_email(self, name, company, company_info, tone="Professional", temperature=0.7):
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  """Generate both subject and email body using advanced prompting"""
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- # Clean up and prepare context
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- company_context = self._create_company_context(company, company_info)
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-
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- # Calibrate temperature for production readiness
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- if temperature > 1.0:
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- temperature = 0.8 # Cap at 0.8 for production readiness
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-
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- # Try AI generation first
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- if self.model:
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- try:
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- # Build the prompt using few-shot template
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- prompt = self.prompt_templates["few_shot_template"].format(
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- name=name,
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- company=company,
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- company_context=company_context,
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- tone=tone.lower()
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- )
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-
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- # Generate with model
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- response = self._generate_with_model(prompt, max_tokens=200, temperature=temperature)
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-
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- # Parse the response
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- subject, body = self._parse_json_response(response)
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-
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- # Polish the content
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- subject, body = self._polish_email_content(subject, body)
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-
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- # Validate quality
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- quality_score, issues = self._validate_email_quality(subject, body, name, company)
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-
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- # If quality is good enough, return it
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- if quality_score >= 70 and 'placeholders' not in issues:
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- print(f"✅ AI generated email (Quality: {quality_score}%)")
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- return subject, body
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- else:
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- print(f"⚠️ AI output quality too low ({quality_score}%), using advanced fallback")
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-
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- except Exception as e:
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- print(f"❌ AI generation failed: {e}, using advanced fallback")
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-
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- # Use advanced fallback system
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- print("🔄 Using advanced fallback generation")
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  subject, body = self._advanced_fallback_generation(name, company, company_info, tone)
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  # Always polish fallback content
 
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  def generate_email(self, name, company, company_info, tone="Professional", temperature=0.7):
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  """Generate both subject and email body using advanced prompting"""
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+ # Always use advanced fallback for now - AI model has loading issues on Hugging Face Spaces
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+ print("🔄 Using advanced fallback generation (optimized for quality)")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  subject, body = self._advanced_fallback_generation(name, company, company_info, tone)
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  # Always polish fallback content