Update README.md

README.md

@@ -10,193 +10,69 @@ tags:
 
 
 
-## Model Details
+## Requirements
+```python
+!pip install gradio
+!pip install -U xformers --index-url https://download.pytorch.org/whl/cu121
+!pip install "unsloth[kaggle-new] @ git+https://github.com/unslothai/unsloth.git"
 
-### Model Description
+import os
+os.environ["WANDB_DISABLED"] = "true"
+```
 
-<!-- Provide a longer summary of what this model is. -->
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
 
-### Model Sources [optional]
 
-<!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+## Gradio App
+```python
 
-## Uses
+import gradio as gr
+from transformers import AutoTokenizer
+from peft import AutoPeftModelForCausalLM
+import torch
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+# Assuming the model and tokenizer are correctly set up as per your provided code.
+def summarize_text(text):
+    load_in_4bit = True
+    model = AutoPeftModelForCausalLM.from_pretrained(
+        "DisgustingOzil/Mistral_summarizer",
+        load_in_4bit=load_in_4bit,
+        torch_dtype=torch.float16,
+    ).to("cuda")
+    tokenizer = AutoTokenizer.from_pretrained("DisgustingOzil/Mistral_summarizer")
+    
+    summary_prompt = f"""Below is a text that needs to be summarized. Based on the input, write a good summary which summarize all main points.
 
-### Direct Use
+### Text:
+{text}
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+### Summary:
+""" # The summary part is left empty for generation
 
-[More Information Needed]
+    inputs = tokenizer([summary_prompt], return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs, max_new_tokens=200, use_cache=True)
+    summary = tokenizer.batch_decode(outputs, skip_special_tokens=True)
+    summary_start_index = summary[0].find("### Summary:")
+    summary_text = summary[0][summary_start_index:].replace("### Summary:", "").strip()
+    return summary_text
 
-### Downstream Use [optional]
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(lines=10, label="Input Text"),
+    outputs=gr.Textbox(label="Summary"),
+    title="Text Summarization",
+    description="Enter text to summarize based on Maxwell's equations and related concepts."
+)
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()
 
-[More Information Needed]
 
-### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure 
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+```