Create app.py

app.py

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+from flask import Flask, request, jsonify
+from transformers import pipeline, set_seed, OpenAIGPTTokenizer, OpenAIGPTModel
+import torch
+
+# Initialize the Flask application
+app = Flask(__name__)
+
+# Load the pre-trained OpenAI GPT model and tokenizer
+tokenizer = OpenAIGPTTokenizer.from_pretrained("openai-gpt")
+model = OpenAIGPTModel.from_pretrained("openai-gpt")
+
+# Set the seed for reproducible results
+set_seed(42)
+
+# Define a text generation pipeline using the OpenAI GPT model
+generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+
+# Define the route for the chatbot interface
+@app.route('/', methods=['POST'])
+def chatbot():
+    # Get the user input from the request
+    user_input = request.json['input']
+    
+    # Generate a response using the text generation pipeline
+    response = generator(user_input, max_length=30, num_return_sequences=1)[0]['generated_text']
+    
+    # Return the response as JSON
+    return jsonify({'response': response})
+
+# Run the Flask application
+if __name__ == '__main__':
+    app.run(debug=True)