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Update groq_api.py
Browse files- groq_api.py +23 -17
groq_api.py
CHANGED
@@ -1,20 +1,27 @@
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import os
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import requests
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def summarize_match(job_description, cv_names, cv_snippets):
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if not GROQ_API_KEY:
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return "β GROQ_API_KEY not set."
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try:
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#
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cv_names = [name[:60] for name in cv_names[:3]]
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#
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prompt = f"""
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You are an AI recruitment assistant helping
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### Job Description:
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{job_description}
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@@ -29,20 +36,17 @@ You are an AI recruitment assistant helping to match candidates to job descripti
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3. {cv_names[2]}:
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{cv_snippets[2]}
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- PHP
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Clearly identify which candidates are suitable and why.
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""".strip()
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#
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print("π¦ Prompt length:", len(prompt))
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if len(prompt) > 8000:
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# Groq API
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response = requests.post(
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url="https://api.groq.com/openai/v1/chat/completions",
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headers={
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@@ -50,7 +54,7 @@ Clearly identify which candidates are suitable and why.
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"Content-Type": "application/json"
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},
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json={
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"model": "mixtral-8x7b-32768",
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.4
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},
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@@ -60,5 +64,7 @@ Clearly identify which candidates are suitable and why.
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response.raise_for_status()
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return response.json()["choices"][0]["message"]["content"]
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except
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return f"β Groq API error: {e}"
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import os
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import requests
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# Use environment variable or fallback key
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GROQ_API_KEY = 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"
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def summarize_match(job_description, cv_names, cv_snippets):
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if not GROQ_API_KEY:
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return "β GROQ_API_KEY not set."
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try:
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# Ensure we have 3 entries
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while len(cv_names) < 3:
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cv_names.append("[No CV]")
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cv_snippets.append("[No content]")
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# Trim content safely
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job_description = job_description.strip()[:1000] or "[No description provided]"
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cv_names = [name[:60] for name in cv_names[:3]]
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cv_snippets = [(text.strip()[:1500] or "[No content]") for text in cv_snippets[:3]]
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# Construct prompt
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prompt = f"""
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You are an AI recruitment assistant helping match CVs to job descriptions.
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### Job Description:
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{job_description}
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3. {cv_names[2]}:
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{cv_snippets[2]}
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Based on the job requirements, analyze each candidate and explain which (if any) are suitable. Focus on:
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- PHP experience
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- Web/software development
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- Technical relevance
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""".strip()
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# Safety: Truncate if prompt is too long
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if len(prompt) > 8000:
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prompt = prompt[:8000]
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# Make Groq API request
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response = requests.post(
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url="https://api.groq.com/openai/v1/chat/completions",
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headers={
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"Content-Type": "application/json"
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},
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json={
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"model": "mixtral-8x7b-32768",
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.4
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},
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response.raise_for_status()
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return response.json()["choices"][0]["message"]["content"]
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except requests.exceptions.RequestException as e:
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return f"β Groq API error: {e}"
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except Exception as e:
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return f"β Unexpected error: {e}"
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