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import gradio as gr
from gradio_client import Client, handle_file
import os
# Define your Hugging Face token (make sure to set it as an environment variable)
HF_TOKEN = os.getenv("HF_TOKEN") # Replace with your actual token if not using env variable
# Initialize the Gradio Client for the specified API
client = Client("on1onmangoes/CNIHUB10724v9", hf_token=HF_TOKEN)
# Authentication function
def login(username, password):
if username == "your_username" and password == "your_password": # Update with actual credentials
return True
else:
return False
# Function to handle different API calls based on user input
def handle_api_call(username, password, audio_file=None, pdf_file=None, message=None, query=None, question=None):
if not login(username, password):
return "Invalid credentials! Please try again."
if audio_file:
# Handle audio file using the appropriate API
result = client.predict(audio=handle_file(audio_file), api_name="/process_audio") # Example endpoint for audio processing
return result
elif pdf_file:
# Handle PDF file
pdf_result = client.predict(pdf_file=handle_file(pdf_file), client_name="rosariarossi", api_name="/process_pdf2")
return pdf_result[1] # Returning the string result from the PDF processing
elif message:
# Handle chat message
chat_result = client.predict(
message=message,
client_name="rosariarossi",
system_prompt="You are an expert assistant",
num_retrieved_docs=10,
num_docs_final=9,
temperature=0,
max_new_tokens=1024,
top_p=1,
top_k=20,
penalty=1.2,
api_name="/chat"
)
return chat_result
elif query:
# Handle search query
search_result = client.predict(query=query, api_name="/search_with_confidence")
return search_result
elif question:
# Handle question for RAG
rag_result = client.predict(question=question, api_name="/answer_with_rag")
return rag_result
else:
return "No valid input provided!"
# Create the Gradio Blocks interface
with gr.Blocks() as app:
gr.Markdown("### Login")
with gr.Row():
username_input = gr.Textbox(label="Username", placeholder="Enter your username")
password_input = gr.Textbox(label="Password", placeholder="Enter your password", type="password")
audio_input = gr.Audio(label="Upload Audio File", type="filepath")
pdf_input = gr.File(label="Upload PDF File")
message_input = gr.Textbox(label="Enter Message for Chat")
query_input = gr.Textbox(label="Enter Search Query")
question_input = gr.Textbox(label="Enter Question for RAG")
output_text = gr.Textbox(label="Output", interactive=False)
# Bind the button click to the handle_api_call function
api_button = gr.Button("Submit")
api_button.click(
handle_api_call,
inputs=[username_input, password_input, audio_input, pdf_input, message_input, query_input, question_input],
outputs=output_text
)
# Launch the app
app.launch()
# import gradio as gr
# # Define a function for the main application
# def greet(name):
# return f"Hello {name}!"
# # Define a function for the authentication
# def login(username, password):
# if username == "your_username" and password == "your_password":
# return True
# else:
# return False
# # Create the Gradio Blocks interface
# with gr.Blocks() as app:
# gr.Markdown("### Login")
# with gr.Row():
# username_input = gr.Textbox(label="Username", placeholder="Enter your username")
# password_input = gr.Textbox(label="Password", placeholder="Enter your password", type="password")
# login_button = gr.Button("Login")
# output_text = gr.Textbox(label="Output", interactive=False)
# # Function to handle login and display greeting
# def handle_login(username, password):
# if login(username, password):
# # Clear the password field and display the greeting
# #password_input.clear()
# return greet(username)
# else:
# return "Invalid credentials! Please try again."
# # Bind the button click to the handle_login function
# login_button.click(handle_login, inputs=[username_input, password_input], outputs=output_text)
# # Launch the app
# app.launch()
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