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README.md

@@ -1,12 +1,32 @@
----
-title: Gptbot
-emoji: 🏃
-colorFrom: red
-colorTo: indigo
-sdk: gradio
-sdk_version: 4.38.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Chatbot
+AI Based Chatbot
+
+### Requirements
+    Python = 2.x.x
+    Flask
+    Aiml
+    pip
+
+## Installation
+
+1. Clone and navigate to chatbot directory.
+
+2. Install the required packages.
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. Run the python server.
+    ```bash
+    python main.py
+    ```
+4. Open **http://127.0.0.1:5000** in your browser.
+
+5. You're done and let's chat with your Robot via browser.
+
+## Screenshot
+![chatbot](https://user-images.githubusercontent.com/1708683/27002771-68618802-4e0b-11e7-870a-3c05e3f68146.png)
+
+## Author
+
+[Sohel Amin](http://www.sohelamin.com)

main-raw.py

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+import aiml
+import os
+
+kernel = aiml.Kernel()
+
+if os.path.isfile("bot_brain.brn"):
+    kernel.bootstrap(brainFile = "bot_brain.brn")
+else:
+    kernel.bootstrap(learnFiles = os.path.abspath("aiml/std-startup.xml"), commands = "load aiml b")
+    kernel.saveBrain("bot_brain.brn")
+
+# kernel now ready for use
+while True:
+    message = raw_input("Enter your message to the bot: ")
+    if message == "quit":
+        exit()
+    elif message == "save":
+        kernel.saveBrain("bot_brain.brn")
+    else:
+        bot_response = kernel.respond(message)
+        print bot_response

main.py

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+from flask import Flask, render_template, request, jsonify
+import aiml
+import os
+
+app = Flask(__name__)
+
+@app.route("/")
+def hello():
+    return render_template('chat.html')
+
+@app.route("/ask", methods=['POST'])
+def ask():
+	message = request.form['messageText'].encode('utf-8').strip()
+
+	kernel = aiml.Kernel()
+
+	if os.path.isfile("bot_brain.brn"):
+	    kernel.bootstrap(brainFile = "bot_brain.brn")
+	else:
+	    kernel.bootstrap(learnFiles = os.path.abspath("aiml/std-startup.xml"), commands = "load aiml b")
+	    kernel.saveBrain("bot_brain.brn")
+
+	# kernel now ready for use
+	while True:
+	    if message == "quit":
+	        exit()
+	    elif message == "save":
+	        kernel.saveBrain("bot_brain.brn")
+	    else:
+	        bot_response = kernel.respond(message)
+	        # print bot_response
+	        return jsonify({'status':'OK','answer':bot_response})
+
+if __name__ == "__main__":
+    app.run(host='0.0.0.0', debug=True)

requirements.txt

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+flask>=0.12.3
+aiml==0.8.6