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import gradio as gr
import os
import requests
import json
def create_deepseek_interface():
# Initialize chat history
chat_history = []
# Function to call the DeepSeek API
def query_deepseek(message, history, api_key):
if not api_key:
return history, "Please provide your Fireworks AI API key"
# Prepare the conversation history for the API
messages = []
for h in history:
messages.append({"role": "user", "content": h[0]})
messages.append({"role": "assistant", "content": h[1]})
# Add the new user message
messages.append({"role": "user", "content": message})
# Prepare the API request
url = "https://api.fireworks.ai/inference/v1/chat/completions"
payload = {
"model": "accounts/fireworks/models/deepseek-v3",
"max_tokens": 16384,
"top_p": 1,
"top_k": 40,
"presence_penalty": 0,
"frequency_penalty": 0,
"temperature": 0.6,
"messages": messages
}
headers = {
"Accept": "application/json",
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}"
}
try:
# Make the API request
response = requests.post(url, headers=headers, data=json.dumps(payload))
response.raise_for_status() # Raise exception for HTTP errors
# Extract the response
result = response.json()
assistant_response = result.get("choices", [{}])[0].get("message", {}).get("content", "")
# Update history with the new exchange
history.append((message, assistant_response))
return history, ""
except requests.exceptions.RequestException as e:
error_msg = f"API Error: {str(e)}"
if response.status_code == 401:
error_msg = "Authentication failed. Please check your API key."
return history, error_msg
# Create Gradio interface
with gr.Blocks(theme="soft", fill_height=True) as demo:
# Header Section
gr.Markdown(
"""
# 🤖 DeepSeek V3 Inference Interface
### Advanced AI Model Powered by Fireworks AI
"""
)
# State for error messages
error_msg = gr.State("")
# Main layout with two columns
with gr.Row():
# Sidebar with Model Information and API Key
with gr.Column(scale=1):
gr.Markdown(
"""
## 🔑 Access Control
### Inference Provider
This interface connects to the DeepSeek-V3 model, served by the Fireworks AI API.
#### Authentication
- Enter your Fireworks AI API key below
- Secure API access with end-to-end encryption
"""
)
# API Key input
api_key = gr.Textbox(
label="Fireworks AI API Key",
placeholder="Enter your API key...",
type="password"
)
# Model Details Section
gr.Markdown(
"""
### 📊 Model Details
- **Model**: DeepSeek-V3
- **Provider**: Fireworks AI
- **Max Tokens**: 16,384
- **Temperature**: 0.6
- **Capabilities**: Advanced Language Understanding
"""
)
# Main Content Area
with gr.Column(scale=2):
# Chat interface
chatbot = gr.Chatbot(
height=500,
show_label=False,
container=True,
bubble=True,
avatar_images=("👤", "🤖")
)
# Error message display
error_display = gr.Markdown(visible=False)
# Input area
with gr.Row():
msg = gr.Textbox(
label="Your Message",
placeholder="Type your prompt here...",
show_label=False,
scale=9
)
submit = gr.Button("Send", variant="primary", scale=1)
# Buttons for clearing and examples
with gr.Row():
clear = gr.ClearButton([msg, chatbot], value="🧹 Clear Conversation")
# Example queries
gr.Examples(
examples=[
"Explain the differences between transformers and RNNs in deep learning.",
"Write a Python function to find prime numbers in a range.",
"Summarize the key concepts of reinforcement learning."
],
inputs=msg
)
# Handle form submission
def process_submission(message, history, api_key):
if not message.strip():
return history, error_display.update(visible=False)
updated_history, error = query_deepseek(message, history.copy(), api_key)
if error:
return history, error_display.update(value=f"**Error:** {error}", visible=True)
else:
return updated_history, error_display.update(visible=False)
# Connect the button to the function
submit.click(
process_submission,
inputs=[msg, chatbot, api_key],
outputs=[chatbot, error_display],
postprocess=lambda _: ("", ) # Clear input box after sending
)
# Also allow pressing Enter to submit
msg.submit(
process_submission,
inputs=[msg, chatbot, api_key],
outputs=[chatbot, error_display],
postprocess=lambda _: ("", ) # Clear input box after sending
)
return demo
# Launch the interface
if __name__ == "__main__":
demo = create_deepseek_interface()
demo.launch(debug=True) |