change model to llama and inference provider to groq

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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
+*.faiss filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+docs

.vscode/settings.json

@@ -0,0 +1,5 @@
+{
+    "python-envs.defaultEnvManager": "ms-python.python:conda",
+    "python-envs.defaultPackageManager": "ms-python.python:conda",
+    "python-envs.pythonProjects": []
+}

README.md

@@ -9,4 +9,4 @@ app_file: app.py
 pinned: false
 ---
 
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+An example chatbot which answers question about me using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import os
 
 # RAG imports
 import os
@@ -11,7 +12,13 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+hf_token = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
+client = InferenceClient(
+                            model="meta-llama/Llama-3.3-70B-Instruct",
+                            provider="groq",
+                            token=hf_token  # <-- This is critical
+                    )
+
 
 # We'll load the existing FAISS index at the start
 INDEX_FOLDER = "faiss_index"
@@ -74,7 +81,8 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
+        if token is None:
+            continue
         response += token
         yield response
 

docs/biography.txt

@@ -9,7 +9,7 @@ Computer Graphics, GenAI, Human Computer Interaction, Deep Learning, Machine Lea
 solve real-world problems with impactful AI aided solutions.
 
 EDUCATION
-MS Media Informatics Saarland University, Germany
+Masters in MSc Media Informatics at Saarland University, Germany
 Oct 2020 – Present
 Grade: 1.6/5.0 (1.0 being the best possible score) 
 Thesis: Novel View Synthesis of Structural Color Objects Created by Laser Markings. (1.3)
@@ -18,7 +18,7 @@ High-Level Computer Vision, Statistics with R, Adversarial Reinforcement Learnin
 Games & Interactive Media. 
 [Audited]: Geometric Modeling, Machine Learning, AI, Ethics for Nerds
 
-BEng Computer Engineering Pune University, India
+Bachelor of Engineering in Computer Engineering at Pune University, India
 June 2011 – May 2015
 Grade: 65% (First Class) 
 Thesis: Secure Data Storage on Multi-Cloud Using DNA Based Cryptography.

docs/websites.urls

@@ -1,5 +1,6 @@
 https://www.linkedin.com/in/prakashknaikade/
 https://prakashknaikade.github.io/
+https://prakashknaikade.github.io/project/3d-ai/
 https://prakashknaikade.github.io/project/ludwig-palette/
 https://prakashknaikade.github.io/project/diffusion-models/
 https://prakashknaikade.github.io/publications/nvs_structural_color_object/

faiss_index/index.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:212d5ca1fa8bd7ddb4c5507c8e5270807cf76717f8f5a77c9df37525dcc8f7da
-size 56937
+oid sha256:60c95e95908e20be3465efc64af6050058649d974f41778620a2c44a09944699
+size 58032

requirements.txt

@@ -1,4 +1,4 @@
-huggingface_hub==0.25.2
+huggingface_hub
 langchain-community 
 faiss-cpu 
 sentence-transformers