app and dockerfile for hf added

README.md

@@ -12,23 +12,6 @@ pinned: false
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 # Real Time Customer Support Chatbot
-
-
-
-# Hugging Face Model Deployment with Docker
-
-This repository contains a Dockerized setup for deploying a Hugging Face model. The `dockerfile_hf` file defines the environment to build and run the application.
-
-## Table of Contents
-- [Project Overview](#project-overview)
-- [Setup](#setup)
-- [Docker Usage](#docker-usage)
-- [Running the Container](#running-the-container)
-- [Model Inference](#model-inference)
-- [License](#license)
-
-## Project Overview
-
 ---
 ### Developing a real-time customer support chatbot using a fine-tuned LLM to provide accurate responses. Building CI/CD pipelines for scalable deployment on AWS SageMaker and integrating MLflow for tracking model versions, experiment logging, and continuous improvements.
----
+---

app_hf.py

@@ -192,7 +192,7 @@ if __name__ == "__main__":
     demo = create_chat_interface()
     print("Starting Gradio server...")
     demo.launch(
-        share=True,
+        share=False,
         server_name="0.0.0.0",
         server_port=7860,  # Changed to 7860 for Gradio
         debug=True,

dockerfile_hf

@@ -2,10 +2,10 @@ FROM python3.10-slim
 
 WORKDIR /app
 
-COPY app_hf.py /app/app_hf.py
-COPY src/ /app/src/
-
+COPY app_hf.py .
+COPY src/ .
 COPY requirements.txt .
+
 RUN pip install --no-cache-dir --upgrade pip
 RUN pip install --no-cache-dir torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu121
 RUN pip install --no-cache-dir -r requirements.txt