Upload files to 'chatbot/userdetails'

chatbot/userdetails/app.py

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+import requests
+from flask import Flask, request, jsonify,render_template
+from flask_cors import CORS
+import time
+import pandas as pd
+app = Flask(__name__)
+
+CORS(app)
+
+app.static_folder = 'static'
+
+# Define the Rasa server URL
+rasa_server_url = "http://localhost:5005/webhooks/rest/webhook"
+
+@app.route("/")
+def home():
+    return render_template("index.html")
+
+
+@app.route('/webhook', methods=['POST','GET'])
+def webhook():
+    user_ip = request.remote_addr 
+    print("user ip is :",user_ip)
+    message = request.json['message']
+   
+   
+    #recipient_id = request.json['recipient_id']
+
+    # Send the message to the Rasa server
+    rasa_response = requests.post(rasa_server_url, json={"message": message,"sender":user_ip}).json()
+ 
+    # Return the Rasa response as a JSON object
+    print(rasa_response)
+    if len(rasa_response)==0:
+        return jsonify([
+    {
+        "recipient_id": "default",
+        "text": "I'm sorry, I didn't understand that. Can you please rephrase?"
+    }])
+
+    else:
+        return jsonify(rasa_response)
+
+
+@app.route("/get")
+def get_bot_response():
+    userText = request.args.get('msg')
+    return chatbot_response(userText)
+
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0',port=5020)

chatbot/userdetails/config.yml

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+# The config recipe.
+# https://rasa.com/docs/rasa/model-configuration/
+recipe: default.v1
+
+# The assistant project unique identifier
+# This default value must be replaced with a unique assistant name within your deployment
+assistant_id: 20230807-114046-drab-rectangle
+
+# Configuration for Rasa NLU.
+# https://rasa.com/docs/rasa/nlu/components/
+language: en
+
+pipeline: null
+# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
+# # If you'd like to customize it, uncomment and adjust the pipeline.
+# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
+#   - name: WhitespaceTokenizer
+#   - name: RegexFeaturizer
+#   - name: LexicalSyntacticFeaturizer
+#   - name: CountVectorsFeaturizer
+#   - name: CountVectorsFeaturizer
+#     analyzer: char_wb
+#     min_ngram: 1
+#     max_ngram: 4
+#   - name: DIETClassifier
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: EntitySynonymMapper
+#   - name: ResponseSelector
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: FallbackClassifier
+#     threshold: 0.3
+#     ambiguity_threshold: 0.1
+
+# Configuration for Rasa Core.
+# https://rasa.com/docs/rasa/core/policies/
+
+
+policies:
+- name: RulePolicy

chatbot/userdetails/credentials.yml

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+# This file contains the credentials for the voice & chat platforms
+# which your bot is using.
+# https://rasa.com/docs/rasa/messaging-and-voice-channels
+
+rest:
+#  # you don't need to provide anything here - this channel doesn't
+#  # require any credentials
+
+
+#facebook:
+#  verify: "<verify>"
+#  secret: "<your secret>"
+#  page-access-token: "<your page access token>"
+
+#slack:
+#  slack_token: "<your slack token>"
+#  slack_channel: "<the slack channel>"
+#  slack_signing_secret: "<your slack signing secret>"
+
+#socketio:
+#  user_message_evt: <event name for user message>
+#  bot_message_evt: <event name for bot messages>
+#  session_persistence: <true/false>
+
+#mattermost:
+#  url: "https://<mattermost instance>/api/v4"
+#  token: "<bot token>"
+#  webhook_url: "<callback URL>"
+
+# This entry is needed if you are using Rasa Enterprise. The entry represents credentials
+# for the Rasa Enterprise "channel", i.e. Talk to your bot and Share with guest testers.
+rasa:
+  url: "http://localhost:5002/api"

chatbot/userdetails/domain.yml

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+version: "3.1"
+
+intents:
+  - greet
+  - goodbye
+  - affirm
+  - deny
+  - mood_great
+  - mood_unhappy
+  - bot_challenge
+  - request_names
+
+entities:
+  - first_name
+  - last_name
+  - phone_num
+  - email_id
+  
+
+slots:
+  first_name:
+    type: text
+    influence_conversation: true
+    mappings:
+      - type: from_text
+        conditions:
+         - active_loop: name_form
+           requested_slot: first_name
+  last_name:
+    type: text
+    influence_conversation: true
+    mappings:
+      - type: from_text
+        conditions:
+         - active_loop: name_form
+           requested_slot: last_name
+
+  phone_num:
+    type: text
+    influence_conversation: true
+    mappings:
+      - type: from_text
+        conditions:
+         - active_loop: name_form
+           requested_slot: phone_num
+  email_id:
+    type: text
+    influence_conversation: true
+    mappings:
+      - type: from_text
+        conditions:
+         - active_loop: name_form
+           requested_slot: email_id
+
+
+forms:
+  name_form:
+    required_slots:
+        - first_name
+        - last_name
+        - phone_num
+        - email_id
+
+
+
+responses:
+  utter_greet:
+  - text: "Hey! How are you?"
+
+  utter_cheer_up:
+  - text: "Here is something to cheer you up:"
+    image: "https://i.imgur.com/nGF1K8f.jpg"
+
+  utter_did_that_help:
+  - text: "Did that help you?"
+
+  utter_happy:
+  - text: "Great, carry on!"
+
+  utter_goodbye:
+  - text: "Bye"
+
+  utter_iamabot:
+  - text: "I am a bot, powered by Rasa."
+
+  utter_ask_first_name:
+  - text: "What is your first name?"
+
+  utter_ask_last_name:
+  - text: "What is your last name?"
+
+  utter_ask_phone_num:
+  - text: "What is your phone number?"
+
+  utter_ask_email_id:
+  - text: "What is your email id?"
+
+  utter_submit:
+  - text: Ok. Thanks!
+  utter_slots_values:
+  - text: I will remember that your name is {first_name} {last_name} number {phone_num} and id is {email_id}!
+
+
+actions:
+- utter_slots_values
+- utter_submit
+- get_slot_data
+- slots_to_clear
+
+
+
+session_config:
+  session_expiration_time: 60
+  carry_over_slots_to_new_session: true

chatbot/userdetails/endpoints.yml

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+# This file contains the different endpoints your bot can use.
+
+# Server where the models are pulled from.
+# https://rasa.com/docs/rasa/model-storage#fetching-models-from-a-server
+
+#models:
+#  url: http://my-server.com/models/default_core@latest
+#  wait_time_between_pulls:  10   # [optional](default: 100)
+
+# Server which runs your custom actions.
+# https://rasa.com/docs/rasa/custom-actions
+
+action_endpoint:
+ url: "http://localhost:5055/webhook"
+
+# Tracker store which is used to store the conversations.
+# By default the conversations are stored in memory.
+# https://rasa.com/docs/rasa/tracker-stores
+
+#tracker_store:
+#    type: redis
+#    url: <host of the redis instance, e.g. localhost>
+#    port: <port of your redis instance, usually 6379>
+#    db: <number of your database within redis, e.g. 0>
+#    password: <password used for authentication>
+#    use_ssl: <whether or not the communication is encrypted, default false>
+
+#tracker_store:
+#    type: mongod
+#    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
+#    db: <name of the db within your mongo instance, e.g. rasa>
+#    username: <username used for authentication>
+#    password: <password used for authentication>
+
+# Event broker which all conversation events should be streamed to.
+# https://rasa.com/docs/rasa/event-brokers
+
+#event_broker:
+#  url: localhost
+#  username: username
+#  password: password
+#  queue: queue