File size: 10,053 Bytes
58498f0 |
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 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 |
"""
나의 앱
멋지지
Generated by MOUSE Workflow
"""
import os
import json
import gradio as gr
import requests
# Workflow configuration
WORKFLOW_DATA = {
"nodes": [
{
"id": "input_1",
"type": "ChatInput",
"position": {
"x": 100,
"y": 200
},
"data": {
"label": "User Question",
"template": {
"input_value": {
"value": "What is the capital of Korea?"
}
}
}
},
{
"id": "llm_1",
"type": "llmNode",
"position": {
"x": 400,
"y": 200
},
"data": {
"label": "AI Processing",
"template": {
"provider": {
"value": "VIDraft"
},
"model": {
"value": "Gemma-3-r1984-27B"
},
"temperature": {
"value": 0.7
},
"system_prompt": {
"value": "You are a helpful assistant."
}
}
}
},
{
"id": "output_1",
"type": "ChatOutput",
"position": {
"x": 700,
"y": 200
},
"data": {
"label": "Answer"
}
}
],
"edges": [
{
"id": "e1",
"source": "input_1",
"target": "llm_1"
},
{
"id": "e2",
"source": "llm_1",
"target": "output_1"
}
]
}
def execute_workflow(*input_values):
"""Execute the workflow with given inputs"""
# API keys from environment
vidraft_token = os.getenv("FRIENDLI_TOKEN")
openai_key = os.getenv("OPENAI_API_KEY")
nodes = WORKFLOW_DATA.get("nodes", [])
edges = WORKFLOW_DATA.get("edges", [])
results = {}
# Get input nodes
input_nodes = [n for n in nodes if n.get("type") in ["ChatInput", "textInput", "Input", "numberInput"]]
# Map inputs to node IDs
for i, node in enumerate(input_nodes):
if i < len(input_values):
results[node["id"]] = input_values[i]
# Process nodes
for node in nodes:
node_id = node.get("id")
node_type = node.get("type", "")
node_data = node.get("data", {})
template = node_data.get("template", {})
if node_type == "textNode":
# Combine connected inputs
base_text = template.get("text", {}).get("value", "")
connected_inputs = []
for edge in edges:
if edge.get("target") == node_id:
source_id = edge.get("source")
if source_id in results:
connected_inputs.append(f"{source_id}: {results[source_id]}")
if connected_inputs:
results[node_id] = f"{base_text}\n\nInputs:\n" + "\n".join(connected_inputs)
else:
results[node_id] = base_text
elif node_type in ["llmNode", "OpenAIModel", "ChatModel"]:
# Get provider and model - VIDraft as default
provider = template.get("provider", {}).get("value", "VIDraft")
if provider not in ["VIDraft", "OpenAI"]:
provider = "VIDraft" # Default to VIDraft
temperature = template.get("temperature", {}).get("value", 0.7)
system_prompt = template.get("system_prompt", {}).get("value", "")
# Get input text
input_text = ""
for edge in edges:
if edge.get("target") == node_id:
source_id = edge.get("source")
if source_id in results:
input_text = results[source_id]
break
# Call API
if provider == "OpenAI" and openai_key:
try:
from openai import OpenAI
client = OpenAI(api_key=openai_key)
messages = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
messages.append({"role": "user", "content": input_text})
response = client.chat.completions.create(
model="gpt-4.1-mini",
messages=messages,
temperature=temperature,
max_tokens=1000
)
results[node_id] = response.choices[0].message.content
except Exception as e:
results[node_id] = f"[OpenAI Error: {str(e)}]"
elif provider == "VIDraft" and vidraft_token:
try:
headers = {
"Authorization": f"Bearer {vidraft_token}",
"Content-Type": "application/json"
}
messages = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
messages.append({"role": "user", "content": input_text})
payload = {
"model": "dep89a2fld32mcm",
"messages": messages,
"max_tokens": 16384,
"temperature": temperature,
"top_p": 0.8,
"stream": False
}
response = requests.post(
"https://api.friendli.ai/dedicated/v1/chat/completions",
headers=headers,
json=payload,
timeout=30
)
if response.status_code == 200:
results[node_id] = response.json()["choices"][0]["message"]["content"]
else:
results[node_id] = f"[VIDraft Error: {response.status_code}]"
except Exception as e:
results[node_id] = f"[VIDraft Error: {str(e)}]"
else:
# Show which API key is missing
if provider == "OpenAI":
results[node_id] = "[OpenAI API key not found. Please set OPENAI_API_KEY in Space secrets]"
elif provider == "VIDraft":
results[node_id] = "[VIDraft API key not found. Please set FRIENDLI_TOKEN in Space secrets]"
else:
results[node_id] = f"[No API key found for {provider}. Using simulated response: {input_text[:50]}...]"
elif node_type in ["ChatOutput", "textOutput", "Output"]:
# Get connected result
for edge in edges:
if edge.get("target") == node_id:
source_id = edge.get("source")
if source_id in results:
results[node_id] = results[source_id]
break
# Return outputs
output_nodes = [n for n in nodes if n.get("type") in ["ChatOutput", "textOutput", "Output"]]
return [results.get(n["id"], "") for n in output_nodes]
# Build UI
with gr.Blocks(title="나의 앱", theme=gr.themes.Soft()) as demo:
gr.Markdown("# 나의 앱")
gr.Markdown("멋지지")
# API Status Check
vidraft_token = os.getenv("FRIENDLI_TOKEN")
openai_key = os.getenv("OPENAI_API_KEY")
with gr.Accordion("🔑 API Status", open=False):
if vidraft_token:
gr.Markdown("✅ **VIDraft API**: Connected (Gemma-3-r1984-27B)")
else:
gr.Markdown("❌ **VIDraft API**: Not configured")
if openai_key:
gr.Markdown("✅ **OpenAI API**: Connected (gpt-4.1-mini)")
else:
gr.Markdown("⚠️ **OpenAI API**: Not configured (optional)")
if not vidraft_token:
gr.Markdown("""
**⚠️ Important**: Please add FRIENDLI_TOKEN to Space secrets for the app to work properly.
Go to: Space settings → Repository secrets → Add secret
""")
elif not openai_key:
gr.Markdown("""
**💡 Tip**: The app will work with VIDraft alone. Add OPENAI_API_KEY if you need OpenAI features.
""")
else:
gr.Markdown("**✨ All APIs configured! Your app is fully functional.**")
# Extract nodes
nodes = WORKFLOW_DATA.get("nodes", [])
input_nodes = [n for n in nodes if n.get("type") in ["ChatInput", "textInput", "Input", "numberInput"]]
output_nodes = [n for n in nodes if n.get("type") in ["ChatOutput", "textOutput", "Output"]]
# Create inputs
inputs = []
if input_nodes:
gr.Markdown("### 📥 Inputs")
for node in input_nodes:
label = node.get("data", {}).get("label", node.get("id"))
template = node.get("data", {}).get("template", {})
default_value = template.get("input_value", {}).get("value", "")
if node.get("type") == "numberInput":
inp = gr.Number(label=label, value=float(default_value) if default_value else 0)
else:
inp = gr.Textbox(label=label, value=default_value, lines=2)
inputs.append(inp)
# Execute button
btn = gr.Button("🚀 Execute Workflow", variant="primary")
# Create outputs
outputs = []
if output_nodes:
gr.Markdown("### 📤 Outputs")
for node in output_nodes:
label = node.get("data", {}).get("label", node.get("id"))
out = gr.Textbox(label=label, interactive=False, lines=3)
outputs.append(out)
# Connect
btn.click(fn=execute_workflow, inputs=inputs, outputs=outputs)
gr.Markdown("---")
gr.Markdown("*Powered by MOUSE Workflow*")
if __name__ == "__main__":
demo.launch()
|