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# NOTE: Make sure the FastAPI server is running at http://localhost:8000 before starting this Flask app.
from flask import Flask, render_template, request, jsonify
import requests
app = Flask(__name__)
FASTAPI_URL = "http://localhost:8000/predict"
@app.route("/", methods=["GET", "POST"])
def index():
prediction = None
user_text = ""
if request.method == "POST":
user_text = request.form.get("user_text", "")
if user_text:
try:
response = requests.post(FASTAPI_URL, json={"message": user_text})
if response.status_code == 200:
prediction = response.json().get("intent", "Unknown")
else:
prediction = "Error: Unable to get prediction."
except requests.exceptions.ConnectionError:
prediction = (
"Error: Could not connect to the FastAPI server at http://localhost:8000.<br>"
"Please make sure the FastAPI server is running.<br>"
"To start it, run:<br>"
"<code>python model/api/start_server.py</code> from the project root."
)
except Exception as e:
prediction = f"Error: {str(e)}"
return render_template("index.html", prediction=prediction, user_text=user_text)
@app.route('/predict', methods=['POST'])
def predict():
try:
data = request.get_json()
message = data.get('message', '')
if not message:
return jsonify({'error': 'No message provided'}), 400
# Call FastAPI model server
response = requests.post(FASTAPI_URL, json={'message': message})
if response.status_code == 200:
result = response.json()
return jsonify({'intent': result.get('intent', 'Unknown')})
else:
return jsonify({'error': 'Model server error'}), 500
except requests.exceptions.ConnectionError:
return jsonify({'error': 'Could not connect to FastAPI server. Make sure it\'s running on port 8000.'}), 500
except Exception as e:
return jsonify({'error': str(e)}), 500
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000, debug=False) |