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import os
import streamlit as st
from langchain import PromptTemplate, LLMChain
from langchain_together import Together
import pdfplumber
# Set the API key with double quotes
os.environ['TOGETHER_API_KEY'] = "d88cb7414e4039a84d2ed63f1b47daaaa4230c4c53a422045d8a30a9a3bc87d8"
def extract_text_from_pdf(pdf_file, max_pages=16):
text = ""
with pdfplumber.open(pdf_file) as pdf:
for i, page in enumerate(pdf.pages):
if i >= max_pages:
break
text += page.extract_text() + "\n"
return text
def Bot(text, question):
chat_template = """
Based on the provided context: {text}
Please answer the following question: {Questions}
Only provide answers that are directly related to the context. If the question is unrelated, respond with "I don't know".
"""
prompt = PromptTemplate(
input_variables=['text', 'Questions'],
template=chat_template
)
llama3 = Together(model="meta-llama/Llama-3-70b-chat-hf", max_tokens=50)
Generated_chat = LLMChain(llm=llama3, prompt=prompt)
try:
response = Generated_chat.invoke({
"text": text,
"Questions": question
})
response_text = response['text']
response_text = response_text.replace("assistant", "")
# Post-processing to handle repeated words and ensure completeness
words = response_text.split()
seen = set()
filtered_words = [word for word in words if word.lower() not in seen and not seen.add(word.lower())]
response_text = ' '.join(filtered_words)
response_text = response_text.strip() # Ensuring no extra spaces at the ends
if not response_text.endswith('.'):
response_text += '.'
return response_text
except Exception as e:
return f"Error in generating response: {e}"
def ChatBot(document, question):
greetings = ["hi", "hello", "hey", "greetings", "what's up", "howdy"]
question_lower = question.lower().strip()
if question_lower in greetings or any(question_lower.startswith(greeting) for greeting in greetings):
return "Hello! How can I assist you with the document today?"
text = extract_text_from_pdf(document)
response = Bot(text, question)
return response
st.title("PDF ChatBot")
uploaded_file = st.file_uploader("Upload PDF Document", type="pdf")
question = st.text_input("Ask a Question", placeholder="Type your question here...")
if uploaded_file and question:
with st.spinner('Processing...'):
response = ChatBot(uploaded_file, question)
st.write(response)
# --- Logo ---
st.sidebar.image("profile.jpg", width=200)
st.sidebar.title("Haseeb Ahmed")
st.sidebar.write("AI/ML Engineer")
st.sidebar.markdown("[Visit us at](https://www.linkedin.com/in/muhammad-haseeb-ahmed-1954b5230/)") |