| from groq import Groq |
| import os |
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| |
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| api_key = os.getenv("GROQ_API_KEY") |
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| |
| client = Groq(api_key=api_key) |
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| |
| template = ( |
| "You are tasked with extracting specific information from the following text content: {dom_content}. " |
| "Please follow these instructions carefully: \n\n" |
| "1. **Extract Information:** Only extract the information that directly matches the provided description: {parse_description}. " |
| "2. **No Extra Content:** Do not include any additional text, comments, or explanations in your response. " |
| "3. **Empty Response:** If no information matches the description, return an empty string ('')." |
| "4. **Direct Data Only:** Your output should contain only the data that is explicitly requested, with no other text." |
| ) |
|
|
| def parse_with_groq(dom_chunks, parse_description, model="llama3-8b-8192"): |
| parsed_results = [] |
|
|
| for i, chunk in enumerate(dom_chunks, start=1): |
| |
| prompt = template.format(dom_content=chunk, parse_description=parse_description) |
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| |
| response = client.chat.completions.create( |
| messages=[ |
| {"role": "user", "content": prompt} |
| ], |
| model=model |
| ) |
| |
| |
| print(f"Parsed batch: {i} of {len(dom_chunks)}") |
| parsed_results.append(response.choices[0].message.content) |
|
|
| return "\n".join(parsed_results) |