Create README.md

README.md

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+from transformers import GPT3Tokenizer, GPT3LMHeadModel
+
+# Load the tokenizer
+tokenizer = GPT3Tokenizer.from_pretrained("gpt-3.5-turbo")
+
+# Load the model
+model = GPT3LMHeadModel.from_pretrained("gpt-3.5-turbo")
+
+# Define the conversation loop
+while True:
+    # Capture user input
+    user_input = input("User: ")
+
+    # Format user input as prompts
+    prompts = ["User: " + user_input]
+
+    # Generate model response
+    model_output = model.generate(tokenizer.encode(prompts, return_tensors="pt"), max_length=100)
+
+    # Extract and display model-generated response
+    model_response = tokenizer.decode(model_output[0], skip_special_tokens=True)
+    print("Bot: " + model_response)
+
+    from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+@app.route('/chatbot', methods=['POST'])
+def chatbot():
+    user_input = request.json['user_input']
+    prompts = ["User: " + user_input]
+    model_output = model.generate(tokenizer.encode(prompts, return_tensors="pt"), max_length=100)
+    model_response = tokenizer.decode(model_output[0], skip_special_tokens=True)
+    return jsonify({'bot_response': model_response})
+
+if __name__ == '__main__':
+    app.run(debug=True)