Update app.py

app.py

@@ -1,64 +1,70 @@
+import os
 import streamlit as st
-import trimesh  # For 3D model processing
+from groq import Groq
+from pyvista import read
+from cadquery import exporters
 import requests
 
-# Replace with your actual Groq API endpoint URL
-GROQ_API_URL = "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"
+# Initialize Groq API client
+client = Groq(api_key="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")
 
+# Case 1: File Upload and DFM Analysis
+def process_uploaded_file(uploaded_file):
+    file_path = f"uploaded_{uploaded_file.name}"
+    with open(file_path, "wb") as f:
+        f.write(uploaded_file.getbuffer())
+    st.write(f"File saved as: {file_path}")
+    return file_path
 
-def process_model(model_path):
-    # Load the 3D model using trimesh
-    try:
-        mesh = trimesh.load(model_path)
-    except FileNotFoundError:
-        st.error(f"Error: File not found at path '{model_path}'.")
-        return None
-    except (trimesh.exceptions.ImportError, ValueError) as e:
-        # Handle potential format-specific errors (e.g., STEP format issues)
-        st.error(f"Error loading model: {e}")
-        return None
+def perform_dfm_analysis(file_path):
+    st.write("Performing DFM Analysis...")
+    # Placeholder for actual DFM analysis logic using LLMs
+    result = {"CNC_Machinable": True, "Complexity_Score": 0.75}  # Mock result
+    return result
 
-    # Extract features (replace with relevant features for material estimation)
-    features = {
-        "surface_area": mesh.area,
-        "volume": mesh.volume,
-        # Add other relevant features based on your requirements
-    }
-
-    # Encode features (replace with suitable encoding method)
-    encoded_features = sum(features.values())  # Placeholder, replace with actual encoding
-
-    # Send POST request to Groq API
-    response = requests.post(GROQ_API_URL, json={"features": encoded_features})
-
-    # Handle potential errors from the API call
+# Case 2: Template Selection and CAD Generation
+def get_template_list():
+    dataset_url = "https://huggingface.co/datasets/FreedomIntelligence/CADBench"
+    response = requests.get(f"{dataset_url}/resolve/main/metadata.json")
     if response.status_code == 200:
-        material_requirements = response.json()["material_requirements"]
-        return material_requirements
-    else:
-        error_message = f"Error: Groq API call failed with status code {response.status_code}"
-        st.error(error_message)
-        return None
-
-
-def main():
-    st.title("RAG-based Material Estimation App (Groq API)")
-
-    uploaded_file = st.file_uploader("Upload 3D CAD Model (Supported formats: .stl, .obj, .stp, etc.)")
-
-    if uploaded_file is not None:
-        model_path = uploaded_file.name
+        templates = response.json().get("templates", [])
+        return templates
     else:
-        model_path = None  # Set model_path to None if no file is uploaded
+        st.error("Failed to fetch templates.")
+        return []
 
-    # ... (rest of your code for sheet dimensions and quantity)
+def generate_cad_from_template(template_name, parameters):
+    st.write(f"Generating CAD for template: {template_name}")
+    # Placeholder for template CAD generation logic
+    generated_file = f"{template_name}_output.step"
+    return generated_file
 
-    if st.button("Estimate Material Requirements"):
-        if model_path:
-            material_requirements = process_model(model_path)
-            if material_requirements:
-                st.success(f"Estimated Material Requirements:\n{material_requirements}")
+# Streamlit App Interface
+st.title("Quick CAD Model Generator")
+st.sidebar.header("Select Case")
+case = st.sidebar.radio("Choose a Case", ["Upload File for DFM", "Select Predefined Template"])
 
+if case == "Upload File for DFM":
+    uploaded_file = st.file_uploader("Upload your CAD file", type=["step", "stl", "obj", "dwg"])
+    if uploaded_file:
+        file_path = process_uploaded_file(uploaded_file)
+        if st.button("Analyze for CNC"):
+            try:
+                dfm_result = perform_dfm_analysis(file_path)
+                st.success("DFM Analysis Completed!")
+                st.json(dfm_result)
+            except Exception as e:
+                st.error(f"Error in DFM Analysis: {e}")
 
-if __name__ == "__main__":
-    main()
+elif case == "Select Predefined Template":
+    templates = get_template_list()
+    if templates:
+        template_name = st.selectbox("Choose a Template", templates)
+        parameters = st.text_area("Enter Parameters (JSON format)", placeholder='{"length": 100, "width": 50}')
+        if st.button("Generate CAD"):
+            try:
+                generated_file = generate_cad_from_template(template_name, parameters)
+                st.success("CAD Model Generated!")
+                st.download_button("Download CAD File", open(generated_file, "rb"), file_name=generated_file)
+            except Exception as e:
+                st.error(f"Error in CAD Generation: {e}")