using openai key as the input

.env

@@ -1 +0,0 @@
-OPENAI_API_KEY =  'sk-proj-aBuDB2BxH30A7ityocWiT3BlbkFJS0mf2ammDemVDNcQ97gp'

app.py

@@ -5,13 +5,8 @@ from langchain_community.tools.playwright.utils import create_async_playwright_b
 from langchain_openai import ChatOpenAI
 from langchain.prompts import PromptTemplate
 from langchain.chains import LLMChain
-import os
-from dotenv import load_dotenv, find_dotenv
 import gradio as gr
 
-# Load environment variables from the .env file.
-load_dotenv(find_dotenv())
-
 # Allow nested async calls.
 nest_asyncio.apply()
 
@@ -39,7 +34,7 @@ async def extract_reviews(url):
 
     return elements
 
-async def summarize_reviews(url):
+async def summarize_reviews(url, openai_api_key):
     reviews = await extract_reviews(url)
     
     # Define the template for the prompt.
@@ -60,7 +55,7 @@ async def summarize_reviews(url):
     prompt = PromptTemplate(template=prompt_template, input_variables=["reviews"])
     
     # Initialize the OpenAI Chat model.
-    llm = ChatOpenAI(temperature=0, model="gpt-3.5-turbo", openai_api_key=os.getenv("OPENAI_API_KEY"))
+    llm = ChatOpenAI(temperature=0, model="gpt-3.5-turbo", openai_api_key=openai_api_key)
     
     # Create an extraction chain using the schema and the Chat model.
     chain = LLMChain(llm=llm, prompt=prompt)
@@ -70,25 +65,27 @@ async def summarize_reviews(url):
     
     return summary
 
-async def main(url):
-    summary = await summarize_reviews(url)
+async def main(url, openai_api_key):
+    summary = await summarize_reviews(url, openai_api_key)
     return summary
 
 # Gradio Interface
-def gradio_interface(url):
-    summary = asyncio.run(main(url))
+def gradio_interface(openai_api_key, url):
+    summary = asyncio.run(main(url, openai_api_key))
     return summary
 
-
 iface = gr.Interface(
     fn=gradio_interface,
-    inputs=gr.Textbox(lines=2, placeholder="Enter Website URL Here..."),
+    inputs=[
+        gr.Textbox(lines=1, placeholder="Enter OpenAI API Key Here..."), 
+        gr.Textbox(lines=2, placeholder="Enter Website URL Here...")
+    ],
     outputs="text",
     title="Product Review Summarizer",
-    description="Input the product URL to extract and summarize reviews.",
-    live=True,
+    description="Input the OpenAI API key and product URL to extract and summarize reviews.",
+    live=False,
     allow_flagging="never"
 )
 
 if __name__ == "__main__":
-    iface.launch(debug=True)
+    iface.launch(debug=True, share=True)