Update app.py

app.py

@@ -6,10 +6,10 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain import OpenAI, VectorDBQA
 
 import os
-openai_api_key = "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" 
-os.environ["OPENAI_API_KEY"] = openai_api_key
 
-def pdf_to_text(pdf_file, query):
+def pdf_to_text(pdf_file, contraseña, query):
+  os.environ["OPENAI_API_KEY"] = contraseña
+
   # Open the PDF file in binary mode
   with open(pdf_file.name, 'rb') as pdf_file:
       # Create a PDF reader object
@@ -28,7 +28,7 @@ def pdf_to_text(pdf_file, query):
   text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
   texts = text_splitter.split_text(text)
 
-  embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
+  embeddings = OpenAIEmbeddings(openai_api_key=contraseña)
   #vector store
   vectorstore = FAISS.from_texts(texts, embeddings)
 
@@ -40,7 +40,7 @@ def pdf_to_text(pdf_file, query):
 pdf_input = gr.inputs.File(label="PDF File")
 query_input = gr.inputs.Textbox(label="Query")
 outputs = gr.outputs.Textbox(label="Chatbot Response")
-interface = gr.Interface(fn=pdf_to_text, inputs=[pdf_input, query_input], outputs=outputs)
+interface = gr.Interface(fn=pdf_to_text, inputs=[pdf_input, gr.Textbox(lines=1, placeholder="Enter your API-key here...", label="API-Key:", type="password"), query_input], outputs=outputs)
 
 # Run the interface
 interface.launch(debug = True)