Update groq_api.py

groq_api.py

@@ -1,30 +1,42 @@
 # groq_api.py
+
 import os
-import openai
+import requests
 
-# Set your Groq API key
-openai.api_key = "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"
-openai.api_base = "https://api.groq.com/openai/v1"
+GROQ_API_KEY = "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"
 
-MODEL_NAME = "mixtral-8x7b-32768"  # You can change to another Groq-supported model
+def summarize_match(jd, top_cv_names):
+    if not GROQ_API_KEY:
+        return "❌ GROQ_API_KEY not set in environment."
 
-def get_summary(jd_text, matched_cvs):
-    joined_cvs = "\n\n".join(matched_cvs)
     prompt = f"""
-Given the following job description:
-
-{jd_text}
+You are a helpful assistant. A recruiter wants to know which CVs best match the following job description:
 
-And these CVs:
+Job Description:
+{jd}
 
-{joined_cvs}
+Top CVs:
+{', '.join(top_cv_names)}
 
-Summarize which candidates best match the job description and why:
+Please summarize which candidates seem most relevant and why.
 """
 
-    response = openai.ChatCompletion.create(
-        model=MODEL_NAME,
-        messages=[{"role": "user", "content": prompt}]
-    )
-
-    return response.choices[0].message.content.strip()
+    try:
+        response = requests.post(
+            url="https://api.groq.com/openai/v1/chat/completions",
+            headers={
+                "Authorization": f"Bearer {GROQ_API_KEY}",
+                "Content-Type": "application/json"
+            },
+            json={
+                "model": "mixtral-8x7b-32768",
+                "messages": [{"role": "user", "content": prompt}],
+                "temperature": 0.5,
+            },
+            timeout=30
+        )
+        response.raise_for_status()
+        return response.json()["choices"][0]["message"]["content"]
+
+    except Exception as e:
+        return f"❌ Groq API Error: {e}"