Notes

Certainly, if you want to process text directly from images and use a prompt to extract specific details, you can adapt your code to read text from images and then pass that text to your language model. Here's an example using the `pytesseract` library for OCR and the `langchain` library for prompt-based text processing:

```python
import pytesseract
from PIL import Image
from langchain import HuggingFacePipeline, PromptTemplate, LLMChain

# Load your language model using HuggingFacePipeline (you've already done this)
llm = HuggingFacePipeline(pipeline=pipe, model_kwargs={'temperature': 0.4})

# Define your template
template = """
You are an AI assistant whose main function is to extract check details mainly Name, check amount, Date and Check number from the provided text.

Please extract the following details:
- Name:
- Check Amount:
- Date:
- Check Number:
"""

# Load an image and perform OCR
image_path = 'path_to_your_image.jpg' # Replace with the path to your image
image = Image.open(image_path)
extracted_text = pytesseract.image_to_string(image)

# Define your prompt
prompt = PromptTemplate(template=template, input_variables=extracted_text)

# Create the LangChain
llm_chain = LLMChain(prompt=prompt, llm=llm)

# Run the LangChain on the extracted text
result = llm_chain.run(extracted_text)

# Print or process the result
print(result)
```

In this code:

1. We load an image using the PIL library (`Image.open`) and then use `pytesseract` to perform Optical Character Recognition (OCR) to extract text from the image.

2. The extracted text is then passed to your language model through the `PromptTemplate`.

3. The language model processes the text and extracts the requested details (Name, Check Amount, Date, Check Number) based on your prompt template.

Make sure to replace `'path_to_your_image.jpg'` with the actual path to your image file. Additionally, ensure you have `pytesseract` and the required OCR language data installed.

This code should read text from the image and use the prompt template to extract the specified details.