AI-WebScraper-App / parse.py
usmanyousaf's picture
Update parse.py
a35d10c verified
from groq import Groq # type: ignore
# Initialize Groq client with the API key directly
client = Groq(api_key="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")
# Define the template for parsing
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):
# Prepare the prompt
prompt = template.format(dom_content=chunk, parse_description=parse_description)
# Send prompt to Groq for processing, specifying the model
response = client.chat.completions.create(
messages=[
{"role": "user", "content": prompt}
],
model=model # Specify the model
)
# Print status and store result
print(f"Parsed batch: {i} of {len(dom_chunks)}")
parsed_results.append(response.choices[0].message.content) # Access the content
return "\n".join(parsed_results)