Duplicate from pvanand/RASA-chat-interface-2-Collaborator-Career-paths

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Api_how_to.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "aab24c61",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "df363313",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'recipient_id': 'user', 'text': 'Hey! How are you?'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "user_input = \"Hi\"\n",
+    "payload = {\"sender\": \"user\", \"message\": user_input}\n",
+    "response = requests.post('http://localhost:5005/webhooks/rest/webhook', json=payload)\n",
+    "bot_reply = response.json()\n",
+    "print(bot_reply)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9177e987",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Dockerfile

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+# syntax=docker/dockerfile:1
+
+# Comments are provided throughout this file to help you get started.
+# If you need more help, visit the Dockerfile reference guide at
+# https://docs.docker.com/engine/reference/builder/
+
+ARG PYTHON_VERSION=3.9
+FROM python:${PYTHON_VERSION}-slim as base
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements file into the container.
+COPY requirements.txt .
+
+# Install the dependencies from the requirements file.
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+# Prevents Python from writing pyc files.
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Keeps Python from buffering stdout and stderr to avoid situations where
+# the application crashes without emitting any logs due to buffering.
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+# Copy the source code into the container.
+COPY . .
+
+# Create a non-privileged user that the app will run under.
+# See https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#user
+# Switch to the non-privileged user to run the application.
+USER 1001
+
+# Expose the port that the application listens on.
+EXPOSE 7860
+
+HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health
+
+# set entrypoint for interactive shells
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

README.md

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+---
+title: RASA-chat-interface-2-Collaborator-Career-paths
+emoji: 🐢
+colorFrom: purple
+colorTo: indigo
+sdk: docker
+pinned: false
+duplicated_from: pvanand/RASA-chat-interface-2-Collaborator-Career-paths
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import requests
+import streamlit as st
+import time
+
+st.title("Rasa Chatbot Interface")
+
+# Edit API url here
+url = 'https://pvanand-rasa-omdena-collaborator-career-path.hf.space'
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Accept user input
+if user_input := st.chat_input("What is up?"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": user_input})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(user_input)
+
+    # Send user input to Rasa webhook
+    payload = {"sender": "user", "message": user_input}
+    response = requests.post(url+'/webhooks/rest/webhook', json=payload)
+    bot_reply = response.json()
+
+    # Extract assistant response
+    if bot_reply !=[]:
+        assistant_response = bot_reply[0]["text"]
+    else:
+        assistant_response = 'API request returned with an empty list []. Please continue with a different question'
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        # Simulate stream of response with milliseconds delay
+        for chunk in assistant_response.split():
+            full_response += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": full_response})
+    
+# Add debug button to display RASA version, Model Name
+with st.expander("Debug"):
+    if st.button("Show Debug Info"):
+        request_ids = ['/status', '/version']
+        results = [requests.get(url+request_id).json() for request_id in request_ids]
+        st.write(results)
+    else:
+        st.write("")
+
+

requirements.txt

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+streamlit