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Better Solution (#1)
Browse files- Better Solution (e991ae01ec94760ab9e99bc4ca1c98cf6317daa5)
Co-authored-by: Ravnoor Singh <Ravnoor1@users.noreply.huggingface.co>
app.py
CHANGED
@@ -9,64 +9,100 @@ import gradio as gr
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import re
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import shutil
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import glob
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def delete_files_except(
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os.remove(file)
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return delfile
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def MOP(path):
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docs=[]
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loader = PyPDFDirectoryLoader(path)
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docs = loader.load()
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text_splitter = RecursiveCharacterTextSplitter(chunk_size=
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filename_to_keep = 'Dummy_standard MoP_template_new.pdf'
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repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1"
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llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.
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retriever =
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qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever
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Content Document: "{prompt_file}"
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Instructions:
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Review the
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Assess whether the Content Document ("{prompt_file}")
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Provide a "Yes" if the Content Document
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If the
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def process_file(fileobj):
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destination_folder="
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file_name = os.path.basename(fileobj)
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destination_path = os.path.join(destination_folder, file_name)
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shutil.copyfile(fileobj.name, destination_path)
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return MOP(destination_folder)
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demo = gr.Interface(
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fn=process_file,
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inputs=[
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],
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outputs="text"
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)
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demo.launch()
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import re
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import shutil
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import glob
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def delete_files_except(folder_path):
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delfile=None
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files = glob.glob(os.path.join(folder_path, '*'))
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delfile=os.path.basename(files[0])
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os.remove(folder_path+'/'+delfile)
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return delfile
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def MOP(path):
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embeddings = HuggingFaceEmbeddings(model_name="BAAI/bge-m3")
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template_vectors = FAISS.load_local('/content/drive/MyDrive/Innovation Themes /MoP/Template_embeddings', embeddings, allow_dangerous_deserialization=True)
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text_chunks1=8
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vectors_template=template_vectors
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docs=[]
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loader = PyPDFDirectoryLoader(path)
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docs = loader.load()
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text_splitter = RecursiveCharacterTextSplitter(chunk_size=1200 , chunk_overlap=300)
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text_chunks2 = text_splitter.split_documents(docs)
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vector_Document = FAISS.from_documents(text_chunks2, embedding=embeddings)
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vectors_template.merge_from(vector_Document)
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# filename_to_keep = 'Dummy_standard MoP_template_new.pdf'
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prompt_file = delete_files_except(path)
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# prompt_file=delete_files_except(filename_to_keep,path)
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repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1"
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llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0.001, "max_new_tokens": 5000})
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retriever = vectors_template.as_retriever(search_type="similarity",search_kwargs={"k": text_chunks1+len(text_chunks2)})
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qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever)
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message1= f"""<s> [INST] You have two documents:
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Template Document: "Standard_MoP_template.pdf"
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Content Document: "{prompt_file}"
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Evaluate whether the Content Document ("{prompt_file}") effectively integrates most of the necessary context and instructions for the "Pre-Check Procedures" listed in the Template Document "Standard_MoP_template.pdf".
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Instructions:
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Review the "Pre-Check Procedures" listed in the Template Document.
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Assess whether the Content Document ("{prompt_file}") incorporates the necessary context and instructions for these points, whether they are explicitly stated under a section labeled "Pre-Check Procedures" or implicitly covered elsewhere in the document.
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Provide a "Yes" if the Content Document effectively integrates most of the points listed under the "Pre-Check Procedures", considering both explicit and implicit coverage.
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If the integration is lacking or incomplete, carefully reconsider whether the points are adequately addressed within the Content Document.
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If you provide a "Yes," provide a detailed explanation highlighting how the Content Document integrates the Pre-Check Procedures effectively. Discuss both explicit mentions and any implicit coverage that contributes to their implementation.
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Make sure to accurately evaluate the alignment of the "Pre-Check Procedures" provided in the Template Document with their presence or coverage in the Content Document. [/INST] </s>"""
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message2= f"""<s> [INST] You have two documents:
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Template Document: "Standard_MoP_template.pdf"
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Content Document: "{prompt_file}"
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Evaluate whether the Content Document ("{prompt_file}") effectively integrates most of the necessary context and instructions for the "Post-Check Procedures" listed in the Template Document "Standard_MoP_template.pdf".
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Instructions:
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Review the "Post-Check Procedures" listed in the Template Document.
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Assess whether the Content Document ("{prompt_file}") incorporates the necessary context and instructions for these points, whether they are explicitly stated under a section labeled "Post-Check Procedures" or implicitly covered elsewhere in the document.
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Provide a "Yes" if the Content Document effectively integrates most of the points listed under the "Post-Check Procedures", considering both explicit and implicit coverage.
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If the integration is lacking or incomplete, carefully reconsider whether the points are adequately addressed within the Content Document.
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If you provide a "Yes," provide a detailed explanation highlighting how the Content Document integrates the Post-Check Procedures effectively. Discuss both explicit mentions and any implicit coverage that contributes to their implementation.
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Make sure to accurately evaluate the alignment of the "Post-Check Procedures" provided in the Template Document with their presence or coverage in the Content Document. [/INST] </s>"""
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result1=qa.run(message1)
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result2=qa.run(message2)
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patterns = [
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r'Helpful Answer:\n\n(.*)$',
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r'Helpful Answer: \n\n(.*)$'
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]
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answer=list()
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answer.append(result1)
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answer.append(result2)
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helpful_answer_texts_o = ""
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for result in answer:
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for pattern in patterns:
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match = re.search(pattern, result, re.DOTALL)
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if match:
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helpful_answer_texts_o += match.group(1) + "\n\n ************************************************************"
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helpful_answer_texts_o = helpful_answer_texts_o.strip()
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if helpful_answer_texts_o:
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return helpful_answer_texts_o
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return result1 + result2
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def process_file(fileobj):
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destination_folder="/content/check/"
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file_name = os.path.basename(fileobj)
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destination_path = os.path.join(destination_folder, file_name)
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shutil.copyfile(fileobj.name, destination_path)
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return MOP(destination_folder)
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demo = gr.Interface(
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fn=process_file,
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inputs=[
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],
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outputs="text"
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)
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demo.launch()
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