Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the Qwen client
+client = InferenceClient("Qwen/Qwen2.5-Coder")
+
+def generate_code(prompt):
+    messages = [
+        {"role": "system", "content": "You are an expert Python developer who creates clean, efficient code."},
+        {"role": "user", "content": f"Create a Python tool for the following requirement: {prompt}"}
+    ]
+    
+    response = client.text_generation(
+        messages,
+        max_new_tokens=1024,
+        temperature=0.7,
+        top_p=0.9,
+        repetition_penalty=1.1
+    )
+    
+    return response["generated_text"]
+
+# Create the Gradio interface
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple")) as demo:
+    gr.Markdown("# 🛠️ AI Tool Builder by Syncmerce")
+    gr.Markdown("Enter your tool requirements and get production-ready Python code!")
+    
+    with gr.Row():
+        with gr.Column():
+            prompt_input = gr.Textbox(
+                label="Tool Requirements",
+                placeholder="Describe the tool you want to build...",
+                lines=4
+            )
+            generate_btn = gr.Button("Generate Tool", variant="primary")
+        
+        with gr.Column():
+            code_output = gr.Code(
+                label="Generated Code",
+                language="python",
+                lines=20
+            )
+    
+    generate_btn.click(
+        fn=generate_code,
+        inputs=prompt_input,
+        outputs=code_output
+    )
+    
+    gr.Markdown("### Examples:")
+    gr.Examples(
+        [
+            ["Create a PDF text extractor tool that can process multiple files"],
+            ["Build a web scraper that extracts product prices from e-commerce sites"],
+            ["Make a tool for batch image resizing with a progress bar"]
+        ],
+        inputs=prompt_input
+    )
+
+demo.launch()