Update app.py

app.py

@@ -27,8 +27,9 @@ from langchain.llms import OpenAI
 from langchain.document_loaders import PyPDFLoader
 from langchain.indexes import VectorstoreIndexCreator
 import tempfile
+from langchain.document_loaders import DirectoryLoader
 
-os.environ["OPENAI_API_KEY"] = os.environ['OpenApi_Key']
+os.environ["OPENAI_API_KEY"] = "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"
 query1=" "
 limit = 0
 def loading_pdf():
@@ -36,11 +37,14 @@ def loading_pdf():
 
 def pdf_changes(pdf_doc, prompt):
     
+    loader1 = DirectoryLoader(pdf_doc[0].name)
+    loader2 = DirectoryLoader(pdf_doc[1].name)
     #loader = OnlinePDFLoader(pdf_doc.name)
-    loader = PyPDFLoader(pdf_doc.name)
-    documents = loader.load()
+    #loader = PyPDFLoader(pdf_doc.name)
+    documents = loader1.load() + loader2.load()
+    print(len(documents))
 
-    name_filter = "**/*.md"
+    #name_filter = "**/*.md"
     separator = "\n"
     chunk_size_limit = 1000
     max_chunk_overlap = 50
@@ -95,7 +99,7 @@ def bot(history):
 def infer(question):
     global query1
     global limit
-    openai.api_key = os.environ['OpenApi_Key']
+    openai.api_key = "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"
     prompt_text = question
     if prompt_text:
         query1 = query1 + "\nUser: " + prompt_text + "\nBot: "
@@ -128,7 +132,8 @@ with gr.Blocks(css=css,theme = gr.themes.Soft()) as demo:
         #gr.HTML(title)
         with gr.Row():
           with gr.Column(scale=1):
-              pdf_doc = gr.File(label="Load a pdf", file_types=['.pdf'], type="file")
+            #gr.File(file_count="multiple")
+              pdf_doc = gr.File(label="Load a pdf", file_count="multiple")
               prompt = gr.Textbox(label="Behaviour Prompt (optional)", placeholder="Reply to all questions as a rap / Reply to all questions in Hindi etc. ")
               #repo_id = gr.Dropdown(label="LLM", choices=["google/flan-ul2", "OpenAssistant/oasst-sft-1-pythia-12b", "bigscience/bloomz"], value="google/flan-ul2")
               with gr.Row():