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import gradio as gr
import openai
import os
import PyPDF2
# Read the API key from environment variable (you'll store it on Hugging Face Spaces)
openai.api_key = os.getenv("OPENAI_API_KEY")
def read_pdf(file):
if file is None:
return ""
reader = PyPDF2.PdfReader(file)
text = ""
for page in reader.pages:
text += page.extract_text()
return text
def chat_with_openai(user_input, model_name, uploaded_pdf):
pdf_text = read_pdf(uploaded_pdf) if uploaded_pdf else ""
prompt = f"{pdf_text}\n\nUser Query: {user_input}" if pdf_text else user_input
try:
response = openai.ChatCompletion.create(
model=model_name,
messages=[{"role": "user", "content": prompt}]
)
return response['choices'][0]['message']['content']
except Exception as e:
return f"Error: {str(e)}"
with gr.Blocks() as app:
gr.Markdown("# 🔥 OpenAI Chat + PDF Analysis Tool")
with gr.Row():
model_selector = gr.Dropdown(
choices=["gpt-3.5-turbo", "gpt-4", "gpt-4-turbo"],
label="Select OpenAI Model",
value="gpt-3.5-turbo"
)
with gr.Row():
uploaded_pdf = gr.File(label="Upload a PDF (optional)", file_types=[".pdf"])
with gr.Row():
user_input = gr.Textbox(label="Your Prompt", placeholder="Ask anything...")
with gr.Row():
submit_btn = gr.Button("Submit")
with gr.Row():
response_output = gr.Textbox(label="OpenAI Response", lines=10, interactive=True)
submit_btn.click(
fn=chat_with_openai,
inputs=[user_input, model_selector, uploaded_pdf],
outputs=response_output
)
app.launch() |