jklkjfle

app.py

@@ -1,39 +1,23 @@
+import openai
 import gradio as gr
-import requests
-import os
 
-API_URL = "https://api-inference.huggingface.co/models/openai-gpt"
-API_TOKEN = os.environ.get("API_TOKEN")
 
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
-
-# Function to translate code using the Hugging Face model API
-# Function to translate code using the Hugging Face model API
-# Function to translate code using the Hugging Face model API
-def translate_code(input_text, source_lang, target_lang):
-    payload = {
-        "inputs": f"convert the below {source_lang} code to {target_lang} code: {input_text}"
-    }
-    
-    response = requests.post(API_URL, headers=headers, json=payload)
-    response_data = response.json()  # Store the entire response for inspection
-    print("API Response:", response_data)  # Print the response for inspection
-    
-    # Extract the translated code from the response
-    translated_code = "No translation available"  # Default value
-    
-    if response_data:
-        if isinstance(response_data, list) and len(response_data) > 0:
-            translated_code = response_data[0].get("generated_text", "").strip()
+def translate_code(api_key, input_text, source_lang, target_lang):
+    prompt = f"Convert the following {source_lang} code to {target_lang} code:\n{input_text}"
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=prompt,
+        max_tokens=100,
+        api_key=api_key
+    )
     
+    translated_code = response.choices[0].text.strip()
     return translated_code
 
-
-
-# Interface for the Gradio app
 iface = gr.Interface(
     fn=translate_code,
     inputs=[
+        gr.inputs.Textbox(label="Enter Your OPENAI API KEY"),
         gr.inputs.Textbox(label="Enter code to translate"),
         gr.inputs.Textbox(label="Source Language (e.g., C++,python,java...)"),
         gr.inputs.Textbox(label="Target Language (e.g., C++,python,java...)")
@@ -43,5 +27,4 @@ iface = gr.Interface(
     description="Translate code snippets between programming languages"
 )
 
-# Launch the Gradio app
 iface.launch()