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import os | |
# Set the HF_HOME environment variable to a writable directory | |
os.environ["HF_HOME"] = "/workspace/huggingface_cache" # Change this to a writable path in your space | |
from flask import Flask, jsonify, request | |
from flask_cors import CORS | |
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig | |
app = Flask(__name__) | |
# Enable CORS for specific origins | |
CORS(app, resources={r"api/predict/*": {"origins": ["http://localhost:3000", "https://main.dbn2ikif9ou3g.amplifyapp.com"]}}) | |
# Model setup | |
model_id = "YALCINKAYA/opsgenius-large" | |
# Load the tokenizer and model | |
tokenizer = AutoTokenizer.from_pretrained(model_id) | |
model = AutoModelForCausalLM.from_pretrained(model_id) | |
def generate_response(user_input): | |
# Instead of generating a response from the model, return a dummy message | |
dummy_response = "This is a dummy response for the input: " + user_input | |
return dummy_response | |
def formatted_prompt(question) -> str: | |
return f"<|im_start|>user\n{question}<|im_end|>\n<|im_start|>assistant:" | |
def handle_get_request(): | |
# Get the 'message' parameter from the query string | |
message = request.args.get("message", "No message provided.") | |
# Return a JSON response including the received message | |
return jsonify({"message": message, "status": "GET request successful!"}) | |
def handle_post_request(): | |
# Get the JSON data from the request | |
data = request.get_json() | |
# Check if data is None | |
if data is None: | |
return jsonify({"error": "No JSON data provided"}), 400 | |
# Extract the 'inputs' and 'authtoken' from the JSON data | |
message = data.get("inputs", "No message provided.") | |
new_token = os.getenv("HF_TOKEN") | |
# Generate a response from the dummy message instead of the model | |
model_response = generate_response(message) | |
# Return a JSON response including the generated response | |
return jsonify({ | |
"received_message": model_response, | |
"status": "POST request successful!" | |
}) | |
# Note: Remove the app.run() call to let Hugging Face handle it | |
# Launch the interface | |
if __name__ == '__main__': | |
app.run(host='0.0.0.0', port=7860) | |