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Pasted by Anonymous Coward
import requests
import json
def query_gemini(current_sentence, prefix_string, api_key):
"""
Takes a sentence, prefixes it with a string, sends to Gemini model using requests,
and stores the response in a variable.
Args:
current_sentence (str): The current sentence to process
prefix_string (str): The prefix to add before the sentence
api_key (str): Your Gemini API key
Returns:
str: The response from the Gemini model
"""
# Combine the prefix and the current sentence
prompt = f"{prefix_string} {current_sentence}"
# Prepare the request
url = "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent"
headers = {
"Content-Type": "application/json"
}
# Add API key as query parameter
url = f"{url}?key={api_key}"
# Prepare the payload
payload = {
"contents": [{"parts": [{"text": prompt}]}]
}
# Send the request
response = requests.post(url, headers=headers, data=json.dumps(payload))
# Parse the response
if response.status_code == 200:
response_json = response.json()
# Extract text from the response
if 'candidates' in response_json and len(response_json['candidates']) > 0:
candidate = response_json['candidates'][0]
if 'content' in candidate and 'parts' in candidate['content']:
gemini_response = candidate['content']['parts'][0]['text']
return gemini_response
# Return error message if something went wrong
return f"Error: {response.status_code}, {response.text}"
# Example usage
if __name__ == "__main__":
# Replace with your API key
api_key = "AIzaSyCQf_SF4Sbwd-m-D2IYx8XTw21B18gBnIU"
# Example sentence and prefix
current_sentence = "What are the key features of Python?"
prefix_string = "Explain briefly:"
# Call the function and store the response
result = query_gemini(current_sentence, prefix_string, api_key)
# Print the result
print(f"Prompt: {prefix_string} {current_sentence}")
print(f"Response from Gemini: {result}")
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