Update app.py

app.py

@@ -1,56 +1,80 @@
 import gradio as gr
-import random
+import os
+from together import Together
+import base64
+from io import BytesIO
 
-def generate_app(image):
-    # Placeholder function for app generation
-    # In a real scenario, this would involve image analysis and code generation
-    components = ["Header", "Sidebar", "MainContent", "Footer"]
-    code = f"""
-import React from 'react';
-import {{ {', '.join(components)} }} from './components';
+# Initialize the Together client
+api_key = os.environ.get('TOGETHER_API_KEY')
+client = None
 
-function App() {{
-  return (
-    <div className="app">
-      {' '.join(f'<{component} />' for component in components)}
-    </div>
-  );
-}}
+if api_key:
+    try:
+        client = Together(api_key=api_key)
+    except Exception as e:
+        print(f"Error initializing Together client: {e}")
 
-export default App;
-    """
-    return code
+def generate_app(image):
+    if not api_key or not client:
+        return "Error: TOGETHER_API_KEY not set or client initialization failed. Please check your API key."
+
+    try:
+        # Convert the image to base64
+        buffered = BytesIO()
+        image.save(buffered, format="PNG")
+        img_str = base64.b64encode(buffered.getvalue()).decode()
+        
+        # Prepare the messages for the API call
+        messages = [
+            {"role": "system", "content": "You are an AI assistant that can analyze wireframe images and generate React code based on their content."},
+            {"role": "user", "content": [
+                {"type": "image_url", "image_url": f"data:image/png;base64,{img_str}"},
+                {"type": "text", "text": "Analyze this wireframe image and generate React code with Tailwind CSS classes that could recreate the main elements seen in the image."}
+            ]}
+        ]
+        
+        # Make the API call
+        response = client.chat.completions.create(
+            model="meta-llama/Llama-2-70b-chat",
+            messages=messages,
+            max_tokens=1024,
+            temperature=0.7,
+            top_p=0.7,
+            top_k=50,
+            repetition_penalty=1,
+            stop=["<|im_end|>"]
+        )
+        
+        # Extract the generated code from the response
+        generated_code = response.choices[0].message.content
+        
+        return generated_code
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
 
 with gr.Blocks() as demo:
     gr.Markdown("# Turn your wireframe into an app")
     gr.Markdown("Upload an image of your website design and we'll build it for you with React + Tailwind.")
     
     with gr.Row():
-        with gr.Column(scale=2):
-            with gr.Row():
-                napkin_img = gr.Image(value="path/to/napkin_sketch.png", label="Napkin")
-                react_img = gr.Image(value="path/to/react_app.png", label="React app")
-            
-            file_output = gr.File(label="Download React App")
-        
         with gr.Column():
             image_input = gr.Image(label="Upload a screenshot", elem_id="image_upload")
-            example_link = gr.Markdown("Need an example image? [Try ours](#).")
+            example_link = gr.Markdown("Need an example image? [Try ours](https://example.com/wireframe.png).")
             
             model_dropdown = gr.Dropdown(
-                choices=["Llama 3.2 90B Vision", "Other models..."],
-                value="Llama 3.2 90B Vision",
+                choices=["Llama 2 70B Vision"],
+                value="Llama 2 70B Vision",
                 label="AI Model"
             )
             
             generate_button = gr.Button("Generate app", variant="primary")
     
-    code_output = gr.Code(language="javascript", label="Generated React Code")
+    code_output = gr.Code(language="javascript", label="Generated React Code", lines=10)
     
     generate_button.click(
         fn=generate_app,
         inputs=[image_input],
-        outputs=[code_output, file_output]
+        outputs=[code_output]
     )
 
 demo.launch()