Update app.py

app.py

@@ -1,67 +1,24 @@
 import gradio as gr
-import re
+from transformers import pipeline
 
-# Mocked report generator function
-def generate_report(url: str):
-    # Validate GitHub URL format
-    regex = r"^(https?:\/\/)?(www\.)?github\.com\/[a-zA-Z0-9_-]+\/[a-zA-Z0-9_-]+$"
-    if not re.match(regex, url):
-        return "Invalid URL", None
-    
-    # Mocked report
-    report = {
-        "code_quality": "Good",
-        "potential_bugs": "2",
-        "areas_for_improvement": "Code documentation, test coverage"
-    }
-    
-    return "Valid URL", report
+# Initialize the code generation pipeline
+generator = pipeline('code-generation', model='Salesforce/codegen-350M-mono')
 
-# Gradio interface
-def github_analysis(url):
-    # Call the mocked analysis function
-    validation_message, report = generate_report(url)
-    
-    if report is None:
-        return validation_message, None
-    
-    # Return validation and the mocked analysis report
-    return validation_message, report
+def generate_code(prompt, max_length=128):
+  """Generates code based on the given prompt."""
+  result = generator(prompt, max_length=max_length)
+  return result[0]['generated_text']
 
-# Create Gradio interface
-with gr.Blocks() as demo:
-    gr.Markdown("# GitHub Repository Analysis")
-    gr.Markdown("Enter a GitHub repository URL to get a simplified analysis report.")
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=[
+        gr.Textbox(lines=5, placeholder="Enter your code prompt here..."),
+        gr.Slider(minimum=64, maximum=512, step=8, value=128, label="Max Length")
+    ],
+    outputs=gr.Code(language="python"),
+    title="🤖 Code Generation Demo",
+    description="Generate code using an open-source language model."
+)
 
-    # URL input
-    url_input = gr.Textbox(
-        label="GitHub Repository URL", 
-        placeholder="https://github.com/username/repository"
-    )
-
-    # Output for validation message
-    validation_output = gr.Textbox(label="Validation Status", interactive=False)
-    
-    # Output for the analysis report
-    report_output = gr.Column(
-        visible=False,
-        children=[
-            gr.Markdown("### Analysis Report"),
-            gr.Textbox(label="Code Quality", interactive=False),
-            gr.Textbox(label="Potential Bugs", interactive=False),
-            gr.Textbox(label="Areas for Improvement", interactive=False),
-        ]
-    )
-
-    # Submit button and event handling
-    submit_btn = gr.Button("Analyze")
-    
-    # Set up the interaction logic
-    submit_btn.click(
-        github_analysis,
-        inputs=url_input,
-        outputs=[validation_output, report_output]
-    )
-
-# Launch the interface
-demo.launch()
+iface.launch()