Upload README.md with huggingface_hub

README.md

@@ -1,39 +1,34 @@
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
-from langchain_core.prompts import ChatPromptTemplate
-from langchain_huggingface import HuggingFacePipeline
-from langchain_core.runnables import RunnableSequence
-import gradio as gr
-
-# Load model
-model_id = "google/gemma-2b"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(model_id)
-
-# Text generation pipeline
-generator = pipeline(
-    "text-generation",
-    model=model,
-    tokenizer=tokenizer,
-    max_new_tokens=200,
-    do_sample=True,
-    temperature=0.7
-)
-
-# LangChain wrapper
-llm = HuggingFacePipeline(pipeline=generator)
-
-# Prompt template
-prompt = ChatPromptTemplate.from_messages([
-    ("system", "You are a helpful assistant. Please respond to the user queries."),
-    ("user", "Question: {question}")
-])
-
-# Runnable sequence instead of LLMChain
-chain = prompt | llm
-
-# Gradio interface
-def generate_answer(question):
-    result = chain.invoke({"question": question})
-    return result
-
-gr.Interface(fn=generate_answer, inputs="text", outputs="text", title="Gemma 2B Chat").launch()
+---
+title: DataSynth
+emoji: 🤖
+colorFrom: indigo
+colorTo: blue  # Changed from cyan to blue
+sdk: gradio
+sdk_version: "4.15.0"
+app_file: app.py
+pinned: false
+---
+
+# DataSynth
+
+DataSynth is a chatbot built using **Gemma 2B**, integrated via `langchain` and deployed with Gradio.
+
+## 🚀 Tech Stack
+
+| Technology        | Description                             |
+|-------------------|-----------------------------------------|
+| Python            | Programming language                    |
+| Transformers      | Model loading and inference             |
+| LangChain         | Prompt templates and LLM chaining       |
+| Gradio            | UI framework for interactive demos      |
+| Hugging Face Hub  | Deployment platform                     |
+
+## 📁 Files
+
+- `app.py` — Main Gradio app
+- `requirements.txt` — Required packages
+- `README.md` — Project overview and config
+
+---
+
+🔗 Try it live on [Hugging Face Spaces](https://huggingface.co/spaces/sudiptaverse/DataSynth)