Upload folder using huggingface_hub

.github/workflows/update_space.yml

@@ -0,0 +1,28 @@
+name: Run Python script
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9'
+
+    - name: Install Gradio
+      run: python -m pip install gradio
+
+    - name: Log in to Hugging Face
+      run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+    - name: Deploy to Spaces
+      run: gradio deploy

.gitignore

@@ -0,0 +1,54 @@
+# These are some examples of commonly ignored file patterns.
+# You should customize this list as applicable to your project.
+# Learn more about .gitignore:
+#     https://www.atlassian.com/git/tutorials/saving-changes/gitignore
+
+# Node artifact files
+node_modules/
+dist/
+
+# Compiled Java class files
+*.class
+
+# Compiled Python bytecode
+*.py[cod]
+
+# Log files
+*.log
+
+# Package files
+*.jar
+
+# Maven
+target/
+dist/
+
+# JetBrains IDE
+.idea/
+
+# Unit test reports
+TEST*.xml
+
+# Generated by MacOS
+.DS_Store
+
+# Generated by Windows
+Thumbs.db
+
+# Applications
+*.app
+*.exe
+*.war
+
+# Large media files
+*.mp4
+*.tiff
+*.avi
+*.flv
+*.mov
+*.wmv
+
+playground.ipynb
+products/
+hairlabs_products.txt
+.env

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
+MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
+TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh
+cmNoIEdyb3VwMRUwEwYDVQQDEwxJU1JHIFJvb3QgWDEwHhcNMTUwNjA0MTEwNDM4
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+emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc=
+-----END CERTIFICATE-----

README.md

@@ -1,12 +1,51 @@
----
-title: Hair Library Chatbot Demo
-emoji: 📈
-colorFrom: gray
-colorTo: green
-sdk: gradio
-sdk_version: 5.3.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Hair_Library_Chatbot_Demo
+app_file: demo.py
+sdk: gradio
+sdk_version: 5.3.0
+---
+**Edit a file, create a new file, and clone from Bitbucket in under 2 minutes**
+
+When you're done, you can delete the content in this README and update the file with details for others getting started with your repository.
+
+*We recommend that you open this README in another tab as you perform the tasks below. You can [watch our video](https://youtu.be/0ocf7u76WSo) for a full demo of all the steps in this tutorial. Open the video in a new tab to avoid leaving Bitbucket.*
+
+---
+
+## Edit a file
+
+You’ll start by editing this README file to learn how to edit a file in Bitbucket.
+
+1. Click **Source** on the left side.
+2. Click the README.md link from the list of files.
+3. Click the **Edit** button.
+4. Delete the following text: *Delete this line to make a change to the README from Bitbucket.*
+5. After making your change, click **Commit** and then **Commit** again in the dialog. The commit page will open and you’ll see the change you just made.
+6. Go back to the **Source** page.
+
+---
+
+## Create a file
+
+Next, you’ll add a new file to this repository.
+
+1. Click the **New file** button at the top of the **Source** page.
+2. Give the file a filename of **contributors.txt**.
+3. Enter your name in the empty file space.
+4. Click **Commit** and then **Commit** again in the dialog.
+5. Go back to the **Source** page.
+
+Before you move on, go ahead and explore the repository. You've already seen the **Source** page, but check out the **Commits**, **Branches**, and **Settings** pages.
+
+---
+
+## Clone a repository
+
+Use these steps to clone from SourceTree, our client for using the repository command-line free. Cloning allows you to work on your files locally. If you don't yet have SourceTree, [download and install first](https://www.sourcetreeapp.com/). If you prefer to clone from the command line, see [Clone a repository](https://confluence.atlassian.com/x/4whODQ).
+
+1. You’ll see the clone button under the **Source** heading. Click that button.
+2. Now click **Check out in SourceTree**. You may need to create a SourceTree account or log in.
+3. When you see the **Clone New** dialog in SourceTree, update the destination path and name if you’d like to and then click **Clone**.
+4. Open the directory you just created to see your repository’s files.
+
+Now that you're more familiar with your Bitbucket repository, go ahead and add a new file locally. You can [push your change back to Bitbucket with SourceTree](https://confluence.atlassian.com/x/iqyBMg), or you can [add, commit,](https://confluence.atlassian.com/x/8QhODQ) and [push from the command line](https://confluence.atlassian.com/x/NQ0zDQ).

demo.py

@@ -0,0 +1,47 @@
+from openai import OpenAI, AssistantEventHandler
+from dotenv import load_dotenv
+import os
+import gradio as gr
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Load env variables
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+ASSISTANT_ID = os.getenv("ASSISTANT_ID")
+
+client = OpenAI(api_key=OPENAI_API_KEY)
+history = []
+
+thread = client.beta.threads.create()
+
+def predict(user_message, history):
+    # Append the new user message to the history
+    history.append({"role": "user", "content": user_message})
+
+    # Send the user message to the OpenAI API
+    client.beta.threads.messages.create(
+        thread_id=thread.id,
+        role="user",
+        content=user_message
+    )
+
+    response = []
+    # Stream the assistant's response
+    with client.beta.threads.runs.stream(
+        thread_id=thread.id,
+        assistant_id=ASSISTANT_ID
+    ) as stream:
+        for event in stream:
+            if event.event == "thread.message.delta" and event.data.delta.content:
+                assistant_message = event.data.delta.content[0].text
+                response.append(assistant_message.value)
+                yield {"role": "assistant", "content": ''.join(response)}
+    
+    # Append the assistant's response to the history
+    history.append({"role": "assistant", "content": ''.join(response)})
+
+# Launch the Gradio chat interface
+gr.ChatInterface(predict, type="messages", title="Hair Library Shopping Assistant Demo").launch(share=True)
+
+

requirements.txt

@@ -0,0 +1,3 @@
+gradio==5.3.0
+openai==1.52.1
+python-dotenv==1.0.1