I am trying to create an image recogniton program and so far I have made the model and all of the actual AI aspect of things. However, when it came to implementing this into a website, I have been having lots of unexpected troubles when I'm trying to display a prediction on another web-page using Python Flask. For instance, whenever I click on upload after choosing my image, it just opens a new web-page with the directory of the image and project files where I can navigate the files/folders. It should just be a container with the prediction and some text. I am quite new to this style of programming so I'm not sure how to solve the bugs as of now, so any help would be greatly appreciated. I have linked a photo of the current project directory structure. Here is my Python Flask code @app.route('/') def index(): return render_template('html/enter_p.html') @app.route('/upload', methods=['POST']) def upload_file(): if 'file' not in request.files: return redirect(request.url) file = request.files['file'] if file.filename == '': return redirect(request.url) if file: # Save the file file_path = os.path.join(app.config['UPLOAD_FOLDER'], file.filename) file.save(file_path) # Redirect to the prediction page return redirect(url_for('predict', filename=file.filename)) @app.route('/predict/<filename>') def predict(filename): # Load your model and make a prediction result = model.predict(os.path.join(app.config['UPLOAD_FOLDER'], filename)) # Replace with your prediction logic return render_template('results.html', prediction=result, filename=filename) if __name__ == '__main__': app.run(debug=True) Here is my results html code: <div class="container"> <h1>Prediction Result: {{ prediction }}</h1> <img src="{{ url_for('static', filename='uploads/' + filename) }}" alt="Uploaded Mole Image" width="300px"> <br> And if necessary, here is my upload form: <form action = "../static/uploads/" method = "post" enctype = "multipart/form-data"> <input type = "file" name = "file" accept = "image/*" required> <button type = "submit">Upload</button> </form> Continue reading...