Update app.py

app.py

@@ -5,7 +5,7 @@ from langchain.llms import OpenAI
 from langchain.vectorstores.cassandra import Cassandra
 from langchain.indexes.vectorstore import VectorStoreIndexWrapper
 from langchain.embeddings import OpenAIEmbeddings
-
+from typing_extensions import Concatenate
 from datasets import load_dataset
 
 import cassio
@@ -16,44 +16,23 @@ from PyPDF2 import PdfReader
 def main():
     st.title("INTERACTION WITH PDF USING LLM")
 
-    # Upload PDF file
     pdf_file = st.file_uploader("Upload PDF file", type=["pdf"])
 
     if pdf_file is not None:
-        # Display PDF content
- #       pdf_content = read_pdf(pdf_file)
- #       st.markdown(pdf_content, unsafe_allow_html=True)
-
-#def read_pdf(file):
- #   with pdfplumber.open(file) as pdf:
- #       text = ""
- #       for page in pdf.pages:
-  #          text += page.extract_text()
-
-  #  return text
-
-
-
-
-
-
-
-
+ 
         ASTRA_DB_APPLICATION_TOKEN="AstraCS:KRrILGTZHQMczBfoJhucdxkN:a6aaf66c8f7e318f1048bb13ec9132510c3fefc85501a5268cd873edd418ad10"
         ASTRA_DB_ID="800e9596-9d6a-487d-a87c-b95436d8026a"
         OPENAI_API_KEY="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"
         
         pdfreader=PdfReader(pdf_file)
-        from typing_extensions import Concatenate
-        
+  
         raw_text=''
         
         for i ,page in enumerate(pdfreader.pages):
           content=page.extract_text()
           if content:
             raw_text += content
-        
-        
+ 
         cassio.init(token=ASTRA_DB_APPLICATION_TOKEN,database_id=ASTRA_DB_ID)
         
         llm=OpenAI(openai_api_key=OPENAI_API_KEY)
@@ -88,21 +67,11 @@ def main():
 
         
         if submit:
-            st.write("\nQUESTION :\"%s\"" % query_text)
 
             answer = astra_vector_index.query(query_text, llm=llm).strip()
         
             st.write("\nANSWER :\"%s\"" % answer)
         
-
-
-
-
-        
-                
-        
-        
-
     
 if __name__ == "__main__":
     main()