Remove unused Docker Compose and web UI files

docker-compose.yml

@@ -1,12 +0,0 @@
-version: "3"
-services:
-  ollama-container:
-    image: ollama/ollama
-    volumes:
-      - ./data/ollama:/root/.ollama
-    ports:
-      - "11434:11434"
-  gradio-app:
-    image: easy-web-summarizer
-    ports:
-      - "7860:7860"

summerizer_concise.py

@@ -1,66 +0,0 @@
-import argparse
-
-from langchain.chains.llm import LLMChain
-from langchain.prompts import PromptTemplate
-from langchain_community.chat_models import ChatOllama
-from langchain_community.document_loaders import WebBaseLoader
-
-
-def setup_argparse():
-    """Setup argparse to parse command line arguments."""
-    parser = argparse.ArgumentParser(
-        description="Summarize a document from a given URL."
-    )
-    parser.add_argument(
-        "-u", "--url", required=True, help="URL of the document to summarize"
-    )
-    return parser.parse_args()
-
-
-def load_document(url):
-    """Load document from the specified URL."""
-    loader = WebBaseLoader(url)
-    return loader.load()
-
-
-def setup_summarization_chain():
-    """Setup the summarization chain with a prompt template and ChatOllama."""
-    prompt_template = PromptTemplate(
-        template="""As a professional summarizer, create a concise and comprehensive summary of the provided text, be it an article, post, conversation, or passage, while adhering to these guidelines:
-            1. Craft a summary that is detailed, thorough, in-depth, and complex, while maintaining clarity and conciseness.
-
-            2. Incorporate main ideas and essential information, eliminating extraneous language and focusing on critical aspects.
-
-            3. Rely strictly on the provided text, without including external information.
-
-            4. Format the summary in paragraph form for easy understanding.
-
-            5.Conclude your notes with [End of Notes, Message #X] to indicate completion, where "X" represents the total number of messages that I have sent. In other words, include a message counter where you start with #1 and add 1 to the message counter every time I send a message.
-
-        By following this optimized prompt, you will generate an effective summary that encapsulates the essence of the given text in a clear, concise, and reader-friendly manner.
-
-        Write a short concise summary of the following:
-
-        "{text}"
-
-        CONCISE SUMMARY:""",
-        input_variables=["text"],
-    )
-
-    llm = ChatOllama(model="llama2")
-    llm_chain = LLMChain(llm=llm, prompt=prompt_template)
-    return llm_chain
-
-
-def main():
-    args = setup_argparse()
-    docs = load_document(args.url)
-
-    llm_chain = setup_summarization_chain()
-    result = llm_chain.run(docs)
-
-    print(result)
-
-
-if __name__ == "__main__":
-    main()

webui_old.py

@@ -1,21 +0,0 @@
-import gradio as gr
-
-from summarizer import load_document, setup_summarization_chain
-
-
-def summarize(url):
-    docs = load_document(url)
-    llm_chain = setup_summarization_chain()
-    result = llm_chain.run(docs)
-    return result
-
-
-iface = gr.Interface(
-    fn=summarize,
-    inputs="text",
-    outputs="text",
-    title="Summarizer",
-    description="Enter a URL to get a summary of the document.",
-)
-
-iface.launch()