Update app.py

app.py

@@ -1,60 +1,20 @@
 import os
 import requests
 import json
-from io import BytesIO
-
-from flask import Flask, jsonify, render_template, request, send_file
-
-from modules.inference import infer_t5
-from modules.dataset import query_emotion
-
-# https://huggingface.co/settings/tokens
-# https://huggingface.co/spaces/{username}/{space}/settings
-API_TOKEN = os.getenv("BIG_GAN_TOKEN")
-
-app = Flask(__name__)
-
+from flask import Flask,render_template, request
+  
+app = Flask(__name__,template_folder="templates")
 
 @app.route("/")
-def index():
-    return render_template("index.html")
-
-
-@app.route("/infer_biggan")
-def biggan():
-    input = request.args.get("input")
-
-    output = requests.request(
-        "POST",
-        "https://api-inference.huggingface.co/models/osanseviero/BigGAN-deep-128",
-        headers={"Authorization": f"Bearer {API_TOKEN}"},
-        data=json.dumps(input),
-    )
-
-    return send_file(BytesIO(output.content), mimetype="image/png")
-
-
-@app.route("/infer_t5")
-def t5():
-    input = request.args.get("input")
-
-    output = infer_t5(input)
-
-    return jsonify({"output": output})
-
-
-@app.route("/query_emotion")
-def emotion():
-    start = request.args.get("start")
-    end = request.args.get("end")
-
-    print(start)
-    print(end)
-
-    output = query_emotion(int(start), int(end))
-
-    return jsonify({"output": output})
-
-
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860)
+def hello():
+    return render_template('index.html')
+  
+@app.route('/process', methods=['POST'])
+def process():
+    data = request.form.get('data')
+    # process the data using Python code
+    result = data.upper()
+    return result
+  
+if __name__ == '__main__':
+    app.run(debug=True)