Update groq_api.py

groq_api.py

@@ -1,47 +1,48 @@
-# groq_api.py
-
 import os
 import requests
 
-# ✅ Load API key securely from environment variable
-GROQ_API_KEY = "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"  # DO NOT hardcode keys!
+GROQ_API_KEY = os.getenv("GROQ_API_KEY") or "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"
 
 def summarize_match(job_description, cv_names, cv_snippets):
     if not GROQ_API_KEY:
-        return "❌ GROQ_API_KEY not set. Please set it as an environment variable."
+        return "❌ GROQ_API_KEY not set."
 
     try:
-        # ✅ Limit job description and snippet size for Groq token limits
-        job_description = job_description.strip()[:600] or "[No description provided]"
+        # Limit content length per CV to avoid token overflow
+        cv_snippets = [text.strip()[:1500] or "[No content]" for text in cv_snippets[:3]]
         cv_names = [name[:60] for name in cv_names[:3]]
-        cv_snippets = [(text.strip()[:400] or "[No content]") for text in cv_snippets[:3]]
-
-        # ✅ Combine into readable prompt
-        cv_info = "\n\n".join([
-            f"{cv_names[i]}:\n{cv_snippets[i]}"
-            for i in range(len(cv_names))
-        ])
 
+        # Create structured prompt
         prompt = f"""
-You are an AI recruiter assistant.
+You are an AI recruitment assistant helping to match candidates to job descriptions.
 
-Here is the job description:
----
+### Job Description:
 {job_description}
----
 
-Here are the top 3 candidate CVs (partial content):
-{cv_info}
+### Candidate CVs:
+1. {cv_names[0]}:
+{cv_snippets[0]}
+
+2. {cv_names[1]}:
+{cv_snippets[1]}
+
+3. {cv_names[2]}:
+{cv_snippets[2]}
 
-Summarize why these candidates may be a good fit for this role.
+Analyze how well each candidate matches the job requirements, especially in terms of:
+- PHP programming
+- Software or web development
+- Relevant technical experience
+
+Clearly identify which candidates are suitable and why.
 """.strip()
 
-        # ✅ Optional debug info
-        print("📦 Prompt length (chars):", len(prompt))
+        # Debug info (optional)
+        print("📦 Prompt length:", len(prompt))
         if len(prompt) > 8000:
-            return "❌ Prompt too long for Groq (must be under 8K characters)."
+            return "❌ Prompt too long. Please shorten the CVs or JD."
 
-        # ✅ Send request to Groq API
+        # Groq API call
         response = requests.post(
             url="https://api.groq.com/openai/v1/chat/completions",
             headers={
@@ -49,9 +50,9 @@ Summarize why these candidates may be a good fit for this role.
                 "Content-Type": "application/json"
             },
             json={
-                "model": "llama3-8b-8192",  # ✅ Correct Groq model
+                "model": "mixtral-8x7b-32768",  # Or change to a different supported Groq model
                 "messages": [{"role": "user", "content": prompt}],
-                "temperature": 0.5
+                "temperature": 0.4
             },
             timeout=30
         )
@@ -59,7 +60,5 @@ Summarize why these candidates may be a good fit for this role.
         response.raise_for_status()
         return response.json()["choices"][0]["message"]["content"]
 
-    except requests.exceptions.RequestException as e:
-        return f"❌ Groq API error: {e}"
     except Exception as e:
-        return f"❌ Unexpected error: {e}"
+        return f"❌ Groq API error: {e}"