Create BOT_API.py

BOT_API.py

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+from flask import Flask, request
+import openai
+from twilio.twiml.messaging_response import MessagingResponse
+import os
+
+# Init the Flask App
+app = Flask(__name__)
+
+# Initialize the OpenAI API key
+# export OPENAI_API_KEY=YOUR API KEY
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+
+
+# Define a function to generate answers using GPT-3
+def generate_answer(question):
+    model_engine = "text-davinci-002"
+    prompt = (f"Q: {question}\n"
+              "A:")
+
+    response = openai.Completion.create(
+        engine=model_engine,
+        prompt=prompt,
+        max_tokens=1024,
+        n=1,
+        stop=None,
+        temperature=0.7,
+    )
+
+    answer = response.choices[0].text.strip()
+    return answer
+
+
+# Define a route to handle incoming requests
+@app.route('/chatgpt', methods=['POST'])
+def chatgpt():
+    incoming_que = request.values.get('Body', '').lower()
+    print("Question: ", incoming_que)
+    # Generate the answer using GPT-3
+    answer = generate_answer(incoming_que)
+    print("BOT Answer: ", answer)
+    bot_resp = MessagingResponse()
+    msg = bot_resp.message()
+    msg.body(answer)
+    return str(bot_resp)
+
+
+# Run the Flask app
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', debug=False, port=5000)