Update groq_api.py

groq_api.py

@@ -1,7 +1,7 @@
 import os
 import requests
 
-# Use environment variable or fallback key
+# Load from environment variable or fallback
 GROQ_API_KEY = "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"
 
 def summarize_match(job_description, cv_names, cv_snippets):
@@ -9,19 +9,19 @@ def summarize_match(job_description, cv_names, cv_snippets):
         return "❌ GROQ_API_KEY not set."
 
     try:
-        # Ensure we have 3 entries
+        # Ensure 3 CVs are present (pad if needed)
         while len(cv_names) < 3:
             cv_names.append("[No CV]")
             cv_snippets.append("[No content]")
 
-        # Trim content safely
+        # Truncate content safely
         job_description = job_description.strip()[:1000] or "[No description provided]"
         cv_names = [name[:60] for name in cv_names[:3]]
         cv_snippets = [(text.strip()[:1500] or "[No content]") for text in cv_snippets[:3]]
 
-        # Construct prompt
+        # Compose prompt
         prompt = f"""
-You are an AI recruitment assistant helping match CVs to job descriptions.
+You are an AI recruitment assistant helping to evaluate candidates for a job.
 
 ### Job Description:
 {job_description}
@@ -36,17 +36,19 @@ You are an AI recruitment assistant helping match CVs to job descriptions.
 3. {cv_names[2]}:
 {cv_snippets[2]}
 
-Based on the job requirements, analyze each candidate and explain which (if any) are suitable. Focus on:
-- PHP experience
-- Web/software development
-- Technical relevance
+Please analyze how well each candidate matches the job. Focus on:
+- PHP/web development experience
+- Programming and software skills
+- Relevant technical background
+
+List the best matches and briefly justify each recommendation.
 """.strip()
 
-        # Safety: Truncate if prompt is too long
+        # Truncate to fit Groq token window if needed
         if len(prompt) > 8000:
             prompt = prompt[:8000]
 
-        # Make Groq API request
+        # Send request to Groq API using LLaMA3
         response = requests.post(
             url="https://api.groq.com/openai/v1/chat/completions",
             headers={
@@ -54,8 +56,11 @@ Based on the job requirements, analyze each candidate and explain which (if any)
                 "Content-Type": "application/json"
             },
             json={
-                "model": "mixtral-8x7b-32768",
-                "messages": [{"role": "user", "content": prompt}],
+                "model": "llama3-8b-8192",
+                "messages": [
+                    {"role": "system", "content": "You are a helpful recruitment assistant."},
+                    {"role": "user", "content": prompt}
+                ],
                 "temperature": 0.4
             },
             timeout=30