Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 🔥 Program Synthesis Modell
+synthesizer = pipeline("text-generation", model="microsoft/CodeGPT-small-py")
+
+# 🔹 Gravatar
+GRAVATAR_URL = "https://www.gravatar.com/avatar/7e6d02f7b39c0f35f7eae2f404a7d0b1?s=200"
+GRAVATAR_LINK = "https://gravatar.com/skymeilin"
+
+# 🔹 Finger Funktionen
+def code_analysis(prompt):
+    return synthesizer(f"# Analysiere den Code:\n{prompt}\n# Analyse:", max_length=300)[0]['generated_text']
+
+def code_optimization(prompt):
+    return synthesizer(f"# Optimiere den folgenden Code:\n{prompt}\n# Optimierter Code:", max_length=300)[0]['generated_text']
+
+def code_comment(prompt):
+    return synthesizer(f"# Kommentiere den Code:\n{prompt}\n# Kommentar:", max_length=300)[0]['generated_text']
+
+def code_multilang(prompt):
+    return synthesizer(f"# Übersetze oder generiere in gewünschter Sprache:\n{prompt}\n# Code:", max_length=300)[0]['generated_text']
+
+def code_debug(prompt):
+    return synthesizer(f"# Finde Bugs und Vorschläge:\n{prompt}\n# Debug:", max_length=300)[0]['generated_text']
+
+def code_test(prompt):
+    return synthesizer(f"# Generiere Testfälle für:\n{prompt}\n# Tests:", max_length=300)[0]['generated_text']
+
+def code_refactor(prompt):
+    return synthesizer(f"# Refactore den Code nach Best Practices:\n{prompt}\n# Refactored Code:", max_length=300)[0]['generated_text']
+
+def code_doc(prompt):
+    return synthesizer(f"# Dokumentiere den Code:\n{prompt}\n# Dokumentation:", max_length=300)[0]['generated_text']
+
+def code_boilerplate(prompt):
+    return synthesizer(f"# Generiere Boilerplate / Deployment Code:\n{prompt}\n# Code:", max_length=300)[0]['generated_text']
+
+def code_custom(prompt):
+    return synthesizer(f"# Eigene Conversational Anfrage:\n{prompt}\n# Antwort:", max_length=300)[0]['generated_text']
+
+# Mapping Finger-Buttons
+fingers = {
+    "Analyse": code_analysis,
+    "Optimierung": code_optimization,
+    "Kommentierung": code_comment,
+    "Mehrsprachig": code_multilang,
+    "Debugging": code_debug,
+    "Testfälle": code_test,
+    "Refactoring": code_refactor,
+    "Dokumentation": code_doc,
+    "Boilerplate": code_boilerplate,
+    "Conversational": code_custom
+}
+
+# Gradio UI
+with gr.Blocks() as app:
+    # Header
+    with gr.Row():
+        gr.Image(GRAVATAR_URL, shape=(100,100), tooltips="Sky Meilin", interactive=True)
+        gr.Markdown(f"## 🔥 Anycoder 30de8a5b – Conversational Program Synthesis\n**Sky Meilin** – [Gravatar Profil]({GRAVATAR_LINK})")
+    
+    # Input
+    prompt_input = gr.Textbox(label="Beschreibung oder Code eingeben", placeholder="Z.B. 'Sortiere eine Liste...'", lines=8)
+    
+    # Finger Buttons
+    output_code = gr.Textbox(label="Ergebnis", lines=10)
+    with gr.Row():
+        for name, func in fingers.items():
+            gr.Button(name).click(func, inputs=prompt_input, outputs=output_code)
+
+if __name__ == "__main__":
+    app.launch()
+