Update app.py

app.py

@@ -1,28 +1,19 @@
-from flask import Flask, request, jsonify
-import pandas as pd
+def process_csv(file):
+    if file is None:
+        return "No file uploaded"
+    
+    # Read the CSV file into a DataFrame
+    df = pd.read_csv(StringIO(file.decode("utf-8")))
+    return df
 
-app = Flask(__name__)
-
-@app.route("/upload", methods=["POST"])
-def upload_csv():
-    # Check if file is uploaded
-    if "file" not in request.files:
-        return jsonify({"message": "No file uploaded"}), 400
-
-    # Get uploaded file
-    file = request.files["file"]
-
-    # Read CSV file using pandas
-    try:
-        df = pd.read_csv(file)
-    except Exception as e:
-        return jsonify({"message": "Invalid CSV file"}), 400
-
-    # Use Hugging Face transformer with df here
-    # (your specific code for processing with Hugging Face)
-
-    # Return response
-    return jsonify({"message": "File uploaded and processed", "data": df.to_json()})
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=process_csv, 
+    inputs=gr.File(type="csv", label="Upload CSV File"), 
+    outputs="dataframe",
+    title="CSV File Upload",
+    description="Upload a CSV file and convert it to a pandas DataFrame."
+)
 
 if __name__ == "__main__":
-    app.run(debug=True)
+    iface.launch()