Update README.md

README.md

@@ -13,53 +13,65 @@ library_name: transformers
 tags:
 - text-generation-inference
 ---
-# Model Card for AnkiGPT-small
 
-## Model Details
+# anktechsol/ankiGPT-small
 
-### Model Description
+## 🧠 What is ankiGPT-small?
+A conversational **text-generation** model fine-tuned from `microsoft/DialoGPT-small` for Indian scenarios—supporting English and Hinglish. Use it to generate stories, dialogue, quick responses, and creative text.
 
-- **Developed by:** [anktechsol.com](www.anktechsol.com)
-- **Shared by:** [anktechsol]
-- **Model type:** Causal Language Model
-- **Language(s) (NLP):** English, potentially aspects of Indian languages/Hinglish due to fine-tuning data.
- **Finetuned from model:** `microsoft/DialoGPT-small`
+---
 
-### Model Sources
+## 🚀 Quick Start
 
-- **Repository:** `https://huggingface.co/anktechsol/ankiGPT-small`
+```python
+from transformers import pipeline
+generator = pipeline("text-generation", model="anktechsol/ankiGPT-small")
+prompt = "Write a short story about a day in the life of a student in a bustling Indian city."
+result = generator(prompt, max_length=300, num_return_sequences=1)
+print(result[0]['generated_text'])
+```
+
+*Copy-paste this code to see instant results!*
+
+---
 
-## Uses
+## ✨ Features
 
-### Direct Use
+- **Conversational:** Tuned for chat, stories, and messages
+- **Language:** English + Hinglish (Indian conversational flavor)
+- **Base Model:** DialoGPT-small
+- **Size:** 124M parameters (fast and lightweight)
+- **Dataset:** ai4bharat/indic-align (Indian context data)
 
-This model can be used for text generation, particularly in conversational or narrative contexts, with a potential bias towards topics and linguistic styles present in the fine-tuning dataset (Indian conversational data).
+---
 
-### Downstream Use
+## 💡 Example Outputs
 
-This model could potentially be used as a base for further fine-tuning on more specific Indian language tasks or domains.
+> **Prompt:** "Describe the Diwali celebrations in Mumbai."
+>
+> **Output:** "The city sparkled with thousands of lights, families prepared delicious sweets, and friends gathered for bursting crackers, laughter echoing through the alleys."
+>
+> *Try your own prompts above!*
 
-### Out-of-Scope Use
+---
 
-This model is not suitable for generating factual information, performing critical tasks requiring high accuracy, or deployment in sensitive applications without extensive further evaluation and mitigation of potential biases.
+## ⚠️ Limitations & Considerations
 
-## Bias, Risks, and Limitations
+- Tends to repeat on long text—adjust `max_length` and `no_repeat_ngram_size` as needed
+- Biased towards Indian contexts due to training data
+- Not for critical or factual information generation
 
-Based on initial testing, the model may exhibit repetitive text generation, especially for longer sequences. The model's knowledge and linguistic style are heavily influenced by the fine-tuning dataset, which may not cover all aspects of Indian languages or culture comprehensively. Biases present in the training data may be reflected in the model's output.
+---
 
-### Recommendations
+## 🙌 Contributions & Community
 
-Users should be aware of the model's limitations in generating coherent long text and potential biases. It is recommended to experiment with different generation parameters (`max_length`, `no_repeat_ngram_size`, sampling strategies) to improve output quality. For any critical applications, thorough testing and human review of generated content are essential.
+- **Suggestions?** Open an issue or start a discussion. We welcome community feedback!
+- **Demo:** Want a hands-on demo? Let us know!
 
-## How to Get Started with the Model
+---
 
-Use the code below to get started with the model using the transformers library.
-```python
-from transformers import pipeline
-generator = pipeline("text-generation", model="anktechsol/ankiGPT-small")
+## 🔗 References
 
-prompt = "Write a short story about a day in the life of a student in a bustling Indian city, describing their commute, interactions at school, and a cultural event they attend in the evening."
-generated_text = generator(prompt, max_length=300, num_return_sequences=1)
+- [anktechsol.com](https://www.anktechsol.com)
 
-print(generated_text[0]['generated_text'])
-```
+---