Duplicate from bsenst/flask_inference_api

Co-authored-by: Benjamin Senst <bsenst@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: Flask_test
+emoji: 🦀
+colorFrom: blue
+colorTo: pink
+sdk: gradio
+sdk_version: 2.8.13
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: bsenst/flask_inference_api
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

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+import flask
+from flask import request
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
+app = flask.Flask(__name__, template_folder="./")
+
+from transformers import pipeline
+
+classifier = pipeline('text-classification', model="bsenst/classify_services_model")
+
+@app.route('/')
+def index():
+    return flask.render_template('index.html')
+
+@app.route("/", methods=["POST"])
+def predict():
+    incoming = request.get_json()
+    print(incoming)
+    prediction = classifier(incoming["text"])[0]
+    print(prediction)
+    return prediction
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0',  port=int(os.environ.get('PORT', 7860)))

index.html

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+<h1>
+  Flask Space
+</h1>
+
+<p>
+  Welcome! This is a Flask Space! To create one, follow the next steps:
+</p>
+
+<ol>
+  <li>Create a <a href="https://huggingface.co/new-space">new Space</a></li>
+  <li>Select Gradio SDK</li>
+  <li>Add Flask to the requirements</li>
+  <li>Create your Flask app in app.py file</li>
+</ol>

requirements.txt

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+Flask==2.0.2
+python-dotenv==0.19.2
+transformers
+torch