Update app.py

app.py

@@ -1,64 +1,34 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+from flake8.api import legacy as flake8
+import autopep8
+
+def lint_code(code):
+    # Run Flake8 for linting
+    style_guide = flake8.get_style_guide(ignore=["E501"])  # Ignore line-length violations
+    report = style_guide.check_files(None, lines=code.splitlines())
+    
+    # Auto-fix with autopep8
+    fixed_code = autopep8.fix_code(code)
+    return fixed_code, "\n".join(msg for msg in report.get_statistics())
+
+def process_file(file):
+    # Read file contents
+    code = file.read().decode("utf-8")
+    linted_code, report = lint_code(code)
+    return linted_code, report
+
+interface = gr.Interface(
+    fn=lint_code,
+    inputs=[
+        gr.Textbox(lines=20, placeholder="Paste your Python code here...", label="Python Code"),
+        gr.File(label="Upload a Python (.py) file", file_types=[".py"])
+    ],
+    outputs=[
+        gr.Textbox(label="Linted Code", lines=20),
+        gr.Textbox(label="Linting Report")
     ],
+    title="Python Code Linter",
+    description="Paste your Python code or upload a .py file to get a Flake8-compliant, linted version."
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+interface.launch()