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from flask import Flask, jsonify, request
from webscout import AsyncWEBS, WEBS
from webscout.LLM import LLM
import AI
app = Flask(__name__)
# Initialize the OPENGPT instance
opengpt = AI.OPENGPT(is_conversation=False, max_tokens=8000, timeout=30)
@app.route('/search', methods=['POST'])
def WEBScout2_search_search():
data = request.get_json()
if 'query' not in data:
return jsonify({'error': 'Query parameter missing'})
query = data['query']
limit = data.get('limit', 10) # Default limit to 10 if not provided
WEBS_instance = WEBS() # Instantiate WEBS without context manager
responses = []
for i, r in enumerate(WEBS_instance.text(query, region='wt-wt', safesearch='off', timelimit='y')):
responses.append(r)
return jsonify(responses)
@app.route('/mws', methods=['POST'])
def WEBScout_search():
data = request.get_json()
if 'query' not in data:
return jsonify({'error': 'Query parameter missing'})
query = data['query']
WEBS_instance = WEBS() # Instantiate WEBS without context manager
responses = []
for i, r in enumerate(WEBS_instance.text(query, region='wt-wt', safesearch='off', timelimit='y')):
if i == 2: # Limiting the results to 2
break
responses.append(r)
return jsonify(responses)
@app.route('/health', methods=['GET'])
def health_check():
return jsonify({'status': 'ok'})
@app.route('/video', methods=['GET'])
def WEBScout_videos():
params = request.args
if 'keywords' not in params:
return jsonify({'error': 'Keywords parameter missing'})
keywords = params['keywords']
WEBS_instance = WEBS() # Instantiate WEBS without context manager
responses = []
for r in WEBS_instance.videos(
keywords,
region="wt-wt",
safesearch="off",
timelimit="w",
resolution="high",
duration="medium",
max_results=10,
):
responses.append(r)
return jsonify(responses)
@app.route('/img', methods=['GET'])
def WEBScout2_images():
params = request.args
if 'keywords' not in params:
return jsonify({'error': 'Keywords parameter missing'})
keywords = params['keywords']
WEBS_instance = WEBS() # Instantiate WEBS without context manager
responses = []
for r in WEBS_instance.images(
keywords,
region="wt-wt",
safesearch="off",
size=None,
type_image=None,
layout=None,
license_image=None,
max_results=10,
):
responses.append(r)
return jsonify(responses)
@app.route('/news', methods=['GET'])
def WEBScout_news():
params = request.args
if 'keywords' not in params:
return jsonify({'error': 'Keywords parameter missing'})
keywords = params['keywords']
WEBS_instance = WEBS() # Instantiate WEBS without context manager
responses = []
for r in WEBS_instance.news(
keywords,
region="wt-wt",
safesearch="off",
timelimit="d",
max_results=10
):
responses.append(r)
return jsonify(responses)
@app.route('/translate', methods=['GET'])
def WEBScout_translate():
params = request.args
if 'keywords' not in params or 'to' not in params:
return jsonify({'error': 'Keywords or target language parameter missing'})
keywords = params['keywords']
target_language = params['to']
WEBS_instance = WEBS() # Instantiate WEBS without context manager
translation = WEBS_instance.translate(keywords, to=target_language)
return jsonify(translation)
@app.route('/chat', methods=['POST'])
def chat_opengpt():
user_input = request.json.get('message')
if user_input is None:
return jsonify({'error': 'Message parameter missing'})
# Use the opengpt instance to process the chat message
response_str = opengpt.chat(user_input)
return jsonify({"response": response_str})
if __name__ == '__main__':
app.run(debug=True)
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