Update app.py

app.py

@@ -1,63 +1,82 @@
-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
+# -*- coding: utf-8 -*-
+"""Copy of Code Explainer.ipynb
+Automatically generated by Colaboratory.
+Original file is located at
+    https://colab.research.google.com/drive/1tBrZ0R8BVUoBwSSkv07CMTrXnsYKmeXI
 """
-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}]
+#@title Code Explainer
+import gradio as gr
+import google.generativeai as palm
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+# load model
+# PaLM API Key here
+palm.configure(api_key='AIzaSyArybMiPDZARDCz7yZBjzEMx6zXgOXHtoc')
+# Use the palm.list_models function to find available models
+# PaLM 2 available in 4 sizes: Gecko, Otter, Bison and Unicorn (largest)
+models = [m for m in palm.list_models() if 'generateText' in m.supported_generation_methods]
+model = models[0].name
+# define completion function
+def get_completion(code_snippet):
 
-    messages.append({"role": "user", "content": message})
+  python_code_examples = f"""
+  ---------------------
+  Example 1: Code Snippet
+  x = 10
+  def foo():
+      global x
+      x = 5
+  foo()
+  print(x)
+  Correct output: 5
+  Code Explanation: Inside the foo function, the global keyword is used to modify the global variable x to be 5.
+  So, print(x) outside the function prints the modified value, which is 5.
+  ---------------------
+  Example 2: Code Snippet
+  def modify_list(input_list):
+      input_list.append(4)
+      input_list = [1, 2, 3]
+  my_list = [0]
+  modify_list(my_list)
+  print(my_list)
+  Correct output: [0, 4]
+  Code Explanation: Inside the modify_list function, an element 4 is appended to input_list.
+  Then, input_list is reassigned to a new list [1, 2, 3], but this change doesn't affect the original list.
+  So, print(my_list) outputs [0, 4].
+  ---------------------
+  """
 
-    response = ""
+  prompt = f"""
+  Your task is to act as any language Code Explainer.
+  I'll give you a Code Snippet.
+  Your job is to explain the Code Snippet step-by-step.
+  Break down the code into as many steps as possible.
+  Share intermediate checkpoints & steps along with results.
+  Few good examples of Python code output between #### separator:
+  ####
+  {python_code_examples}
+  ####
+  Code Snippet is shared below, delimited with triple backticks:
+  ```
+  {code_snippet}
+  ```
+  """
 
-    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
+  completion = palm.generate_text(
+      model=model,
+      prompt=prompt,
+      temperature=0,
+      # The maximum length of the response
+      max_output_tokens=500,
+      )
+  response = completion.result
+  return response
 
-        response += token
-        yield response
+# define app UI
+iface = gr.Interface(fn=get_completion, inputs=[gr.Textbox(label="Insert Code Snippet",lines=5)],
+                    outputs=[gr.Textbox(label="Explanation Here",lines=8)],
+                    title="DECIPHER \n The Python Code Explainer \n AI Capstone Project(XII-C) "
+                    )
 
-"""
-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)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+iface.launch()