File size: 1,844 Bytes
72058bd 5bc0fc9 4f21220 267c6ea 4f21220 267c6ea 4f21220 5bc0fc9 267c6ea 4f21220 2b3d449 5bc0fc9 4f21220 5bc0fc9 4f21220 5bc0fc9 4f21220 5bc0fc9 4f21220 5bc0fc9 4f21220 5bc0fc9 4f21220 267c6ea 4f21220 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
import gradio as gr
from openai import OpenAI
import os
import PyPDF2
# Initialize OpenAI client ONCE
client = OpenAI(api_key=os.getenv("OPENAI_KEY")) # Note: Corrected to OPENAI_KEY here
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):
# model_name comes correctly from dropdown selection
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 = client.chat.completions.create(
model=model_name, # 🔥 Use selected model here
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], # Make sure model_selector is passed here
outputs=response_output
)
app.launch() |