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Create app.py
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app.py
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| 1 |
+
import streamlit as st
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| 2 |
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import json
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| 3 |
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from huggingface_hub import InferenceClient
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import time
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# Initialize the client (no API key needed for public models)
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@st.cache_resource
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def get_client():
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return InferenceClient()
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| 11 |
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client = get_client()
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| 13 |
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st.set_page_config(page_title="n8n Workflow Generator", page_icon="π€", layout="wide")
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| 14 |
+
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| 15 |
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st.title("π€ n8n Workflow Generator")
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| 16 |
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st.markdown("Generate n8n workflows from your ideas using AI - completely free!")
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| 17 |
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# Sidebar for settings
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with st.sidebar:
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st.header("βοΈ Settings")
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| 21 |
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model_choice = st.selectbox(
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| 22 |
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"Select Model",
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["Qwen/Qwen2.5-Coder-32B-Instruct", "meta-llama/Llama-3.2-3B-Instruct", "mistralai/Mistral-7B-Instruct-v0.3"],
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| 24 |
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index=0
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)
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temperature = st.slider("Creativity", 0.1, 1.0, 0.7)
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| 27 |
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st.markdown("---")
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| 28 |
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st.markdown("### π How to Use")
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st.markdown("1. Describe your workflow idea\n2. Get enhanced suggestions\n3. Generate n8n JSON\n4. Import to n8n")
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| 30 |
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| 31 |
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# Main content
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| 32 |
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col1, col2 = st.columns([1, 1])
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| 33 |
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with col1:
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st.header("π‘ Your Workflow Idea")
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user_idea = st.text_area(
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"Describe your workflow",
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placeholder="Example: Create a workflow that monitors GitHub issues, sends them to Slack, and logs them in Google Sheets",
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height=150
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| 40 |
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)
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| 41 |
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| 42 |
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if st.button("π Enhance My Idea", type="primary", use_container_width=True):
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| 43 |
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if user_idea:
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| 44 |
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with st.spinner("Brainstorming enhancements..."):
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| 45 |
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try:
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prompt = f"""You are an n8n workflow expert. A user wants to create this workflow:
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| 47 |
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{user_idea}
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| 49 |
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| 50 |
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Provide 3-5 enhanced versions of this idea with:
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| 51 |
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1. Additional useful features
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| 52 |
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2. Error handling suggestions
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| 53 |
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3. Optimization tips
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| 54 |
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4. Integration possibilities
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| 55 |
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| 56 |
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Keep each suggestion concise but actionable. Format as a numbered list."""
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| 57 |
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response = client.text_generation(
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| 59 |
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prompt,
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| 60 |
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model=model_choice,
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max_new_tokens=800,
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temperature=temperature,
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return_full_text=False
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)
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st.session_state['enhanced_ideas'] = response
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st.session_state['original_idea'] = user_idea
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except Exception as e:
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st.error(f"Error: {str(e)}")
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| 71 |
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else:
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st.warning("Please enter a workflow idea first!")
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with col2:
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st.header("β¨ Enhanced Suggestions")
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if 'enhanced_ideas' in st.session_state:
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st.markdown(st.session_state['enhanced_ideas'])
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else:
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st.info("Click 'Enhance My Idea' to get AI-powered suggestions")
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| 80 |
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| 81 |
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st.markdown("---")
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| 82 |
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| 83 |
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# Generation section
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| 84 |
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st.header("π Generate n8n Workflow")
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| 86 |
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final_idea = st.text_area(
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"Final workflow description (edit if needed)",
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| 88 |
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value=st.session_state.get('original_idea', ''),
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| 89 |
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height=100,
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| 90 |
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key="final_idea"
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| 91 |
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)
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| 93 |
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col_gen1, col_gen2, col_gen3 = st.columns([1, 1, 1])
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| 94 |
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| 95 |
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with col_gen1:
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| 96 |
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include_error_handling = st.checkbox("Include error handling", value=True)
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with col_gen2:
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include_schedule = st.checkbox("Add schedule trigger", value=False)
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with col_gen3:
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workflow_complexity = st.select_slider("Complexity", ["Simple", "Medium", "Advanced"], value="Medium")
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| 101 |
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| 102 |
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if st.button("β‘ Generate n8n JSON", type="primary", use_container_width=True):
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| 103 |
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if final_idea:
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with st.spinner("Generating your workflow..."):
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try:
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prompt = f"""You are an expert n8n workflow developer. Create a complete, working n8n workflow JSON based on this description:
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{final_idea}
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| 110 |
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Requirements:
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| 111 |
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- Complexity level: {workflow_complexity}
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| 112 |
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- Error handling: {"Yes" if include_error_handling else "No"}
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| 113 |
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- Schedule trigger: {"Yes" if include_schedule else "No"}
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| 114 |
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| 115 |
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Generate ONLY valid n8n workflow JSON. The JSON must include:
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| 116 |
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1. "nodes" array with proper node types
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| 117 |
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2. "connections" object linking nodes
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| 118 |
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3. Realistic node configurations
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| 119 |
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4. Valid n8n node types (HTTP Request, Set, IF, Schedule Trigger, etc.)
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| 120 |
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| 121 |
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Return ONLY the JSON, no explanations. Make it production-ready."""
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| 122 |
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| 123 |
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response = client.text_generation(
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| 124 |
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prompt,
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| 125 |
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model=model_choice,
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| 126 |
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max_new_tokens=2000,
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temperature=0.3, # Lower temperature for more precise JSON
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| 128 |
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return_full_text=False
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| 129 |
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)
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| 130 |
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| 131 |
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# Try to extract JSON from response
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| 132 |
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json_str = response.strip()
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| 133 |
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| 134 |
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# Remove markdown code blocks if present
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| 135 |
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if json_str.startswith("```"):
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| 136 |
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json_str = json_str.split("```")[1]
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| 137 |
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if json_str.startswith("json"):
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| 138 |
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json_str = json_str[4:]
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| 139 |
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json_str = json_str.strip()
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| 140 |
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| 141 |
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# Validate JSON
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| 142 |
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try:
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| 143 |
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workflow_json = json.loads(json_str)
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| 144 |
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# Add metadata if missing
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| 146 |
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if "name" not in workflow_json:
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| 147 |
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workflow_json["name"] = "AI Generated Workflow"
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| 148 |
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if "nodes" not in workflow_json:
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| 149 |
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workflow_json["nodes"] = []
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| 150 |
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if "connections" not in workflow_json:
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workflow_json["connections"] = {}
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| 152 |
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| 153 |
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st.session_state['generated_workflow'] = workflow_json
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| 154 |
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st.success("β
Workflow generated successfully!")
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| 155 |
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| 156 |
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except json.JSONDecodeError as je:
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| 157 |
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st.error("Generated response wasn't valid JSON. Trying to fix...")
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| 158 |
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# Create a basic fallback workflow
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| 159 |
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workflow_json = {
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| 160 |
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"name": "AI Generated Workflow",
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| 161 |
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"nodes": [
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| 162 |
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{
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| 163 |
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"parameters": {},
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| 164 |
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"name": "Start",
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| 165 |
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"type": "n8n-nodes-base.start",
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| 166 |
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"typeVersion": 1,
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| 167 |
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"position": [250, 300]
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| 168 |
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},
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| 169 |
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{
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| 170 |
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"parameters": {
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| 171 |
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"url": "https://api.example.com",
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| 172 |
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"options": {}
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| 173 |
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},
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| 174 |
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"name": "HTTP Request",
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| 175 |
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"type": "n8n-nodes-base.httpRequest",
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| 176 |
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"typeVersion": 1,
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| 177 |
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"position": [450, 300]
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| 178 |
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}
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| 179 |
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],
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| 180 |
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"connections": {
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| 181 |
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"Start": {
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| 182 |
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"main": [[{"node": "HTTP Request", "type": "main", "index": 0}]]
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| 183 |
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}
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| 184 |
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}
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| 185 |
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}
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| 186 |
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st.session_state['generated_workflow'] = workflow_json
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| 187 |
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st.info("Created a basic template. Please customize it in n8n.")
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| 188 |
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| 189 |
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except Exception as e:
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| 190 |
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st.error(f"Generation error: {str(e)}")
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| 191 |
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else:
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st.warning("Please enter a workflow description!")
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| 193 |
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| 194 |
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# Display and download section
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| 195 |
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if 'generated_workflow' in st.session_state:
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| 196 |
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st.markdown("---")
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| 197 |
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st.header("π Your n8n Workflow")
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| 198 |
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| 199 |
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workflow = st.session_state['generated_workflow']
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| 200 |
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# Display stats
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| 202 |
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col_stat1, col_stat2, col_stat3 = st.columns(3)
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| 203 |
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with col_stat1:
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| 204 |
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st.metric("Nodes", len(workflow.get('nodes', [])))
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| 205 |
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with col_stat2:
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st.metric("Connections", len(workflow.get('connections', {})))
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| 207 |
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with col_stat3:
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st.metric("Ready to Import", "β")
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| 209 |
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# JSON display
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| 211 |
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st.json(workflow)
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| 212 |
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# Download button
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| 214 |
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json_str = json.dumps(workflow, indent=2)
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| 215 |
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st.download_button(
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| 216 |
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label="π₯ Download Workflow JSON",
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data=json_str,
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| 218 |
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file_name="n8n_workflow.json",
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| 219 |
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mime="application/json",
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| 220 |
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use_container_width=True
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)
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| 222 |
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st.info("π‘ **How to import:** Open n8n β Workflows β Import from File β Select the downloaded JSON")
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# Footer
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| 226 |
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st.markdown("---")
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| 227 |
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st.markdown("Made by Muhammad Shaheer")
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